Computational Chemist
Olema Oncology
We are seeking thoughtful, creative, and experienced Computational Chemists to build out the computational chemistry function at Olema. The persons in this role will collaborate with the medicinal chemistry and other teams in developing new workflows and models to optimize drug discovery. You will be responsible for applying state-of-the-art computational approaches to accelerate the design of small molecules at all stages of the drug discovery pipeline.
The successful candidates will establish Olema’s computational chemistry program and will provide internal expertise in computational chemistry methodologies, techniques, and tools. The ideal candidates have deep understanding of the software tools, and the ability to use and adapt existing technologies.
- Apply ligand-based (conformational analysis, flexible alignment, etc.) or structure-based (docking, scoring, etc.) drug design approaches
- Work with chemists to design screening libraries
- Develop and improve hit finding criteria
- Develop QSAR models for understanding and predicting affinity, activity, ADME, and physiochemical properties
- Develop and apply innovative computational approaches to predict biological activity profiles of small molecules using machine learning and free energy approaches
- Generate 3D structural understanding of the mechanism of action for novel ligands using advanced modeling and dynamics simulations
- Initiate drug discovery efforts by proposing novel targets / modalities
- Collaborate with interdisciplinary project teams to drive effective decision-making from target identification through candidate nomination
- Keep abreast of scientific literature and interact with internal and external scientists to integrate novel insights into computational approaches for drug discovery
- Create and manage chemical and biological databases
Make a positive impact on women's health at Olema Oncology
Multiple computational positions available
Novo Nordisk Research Center Seattle
Multiple computational positions available at Novo Nordisk Seattle site (remote possible) in early drug discovery research.
Research informatics specialist / data engineer: https://www.linkedin.com/jobs/view/2503806335
Bioinformatics research scientist I: https://www.linkedin.com/jobs/view/2595078067
ML protein prediction scientist II: https://www.linkedin.com/jobs/view/2551952458
ML peptide design scientist II: https://www.linkedin.com/jobs/view/2642064879
And coming soon, Bioinformatics senior research scientist - check LinkedIn or Novo Nordisk website for job ad soon.
Link:
https://www.novonordisk-us.com/careers/find-a-job.html
Postdoctoral position on human microbiome multi-omics
National Institute of Child Health and Human Development
Postdoctoral position in the Bioinformatics and Biostatistics Branch at NICHD
Position overview
A postdoctoral position is available in the Bioinformatics and Biostatistics Branch at NICHD under the direction of Dr. James T. Morton. Our goal is to build models that distill knowledge from tens of thousands of high-dimensional multi-omics measurements, including microbial metagenomics, metabolomics, human RNAseq and diet to further our understanding of host-microbe interactions and microbe-metabolite interactions in the context of child health and development.
Postdoctoral position
The successful candidate will have the opportunity to develop and train interpretable Bayesian machine learning algorithms on large publicly available repositories such as the Sequence Read Archive, with the goal of designing new clinical studies and enabling causal insights on clinical interventions. The candidate will have access to supercomputing resources and can expect to work closely with bioinformaticians, statisticians and clinicians.
Qualifications:
Applicants are expected to have a PhD or equivalent doctoral degree in bioinformatics, biostatistics, computer science, engineering or a related discipline. Experience with Bayesian inference and/or machine learning is desirable. Applicants with a background in Pytorch and/or Stan are strongly encouraged to apply.
Postdoctoral fellows are encouraged to take advantage of the rich training and career development opportunities offered at NICHD, the larger NIH intramural program, and neighboring universities.
Job advertisement coming up. See Linkedin post here for updates : https://www.linkedin.com/posts/james-morton-15b7a664_hiring-microbiome-activity-6837331219068313600-IxWh
Or feel free to contact me at jamietmorton@gmail.com
Link:
https://www.linkedin.com/posts/james-morton-15b7a664_hiring-microbiome-activity-6837331219068313600-IxWh
Postdoctoral Scholar in Cancer Biology/Cancer Genomics University of Chicago
University of Chicago
The Yang Lab is seeking self-motivated individuals with strong background in cancer biology to study genome instability of cancer. The main goal of the lab is to dissect the molecular mechanisms leading to somatic alterations, identify disease-causing events, and understand how the genetic alterations affect treatment response by combining computational and experimental approaches.
The lab is recruiting two postdoctoral scholars, one in experimental biology and another in computational biology. Both positions are based in the Ben May Department for Cancer Research. To learn more about the PI’s research, please visit http://yanglab.me.
Responsibilities:
The applicants will have the opportunities to tackle cutting edge problems in biomedical field, interact with world class scientists, and gain experiences and develop skillsets for their next career stage. The experimental biologist is expected to design experiments to study the molecular basis of genome instability and its functional consequences in collaboration with bioinformaticians and statisticians. The computational biologist is expected to develop new computational algorithm(s), perform data analysis, collaborate with biologists and physicians. Both postdoctoral scholars will lead multiple projects, work in a multidisciplinary environment and present/publish the results in scientific conferences/journals.
Link:
http://yanglab.me
Postdoctoral Fellow in Single Cell Genomics and Human Genetics of Complex Eye Diseases
Massachusetts Eye and Ear, Harvard Medical School
The Segrè laboratory in the Department of Ophthalmology and Ocular Genomics Institute at Massachusetts Eye and Ear (MEE), Harvard Medical School, affiliated with the Medical and Population Genetics Program at the Broad Institute of Harvard and MIT, is seeking a highly qualified and motivated Postdoctoral Fellow to work on innovative projects that combine single cell genomics, human genetics, and systems biology approaches to uncover novel causal mechanisms and pathogenic cell types for complex eye diseases, including glaucoma and age-related macular degeneration, with the ultimate goal of identifying new preventative and therapeutic targets for eye disease. To learn more about the lab please visit: https://www.asegrelab.org/.
The successful candidate should have a PhD in computational biology or genomics, biostatistics, computer science, or a related quantitative field, strong programming skills, a solid background in statistics, and experience with large-scale data analysis, and should be excited to contribute to advancing the science and medicine of eye disease. As part of a collaborative Human Eye Cell Atlas effort supported by a Chan Zuckerburg Initiative Seed Networks grant, we are interested in developing and applying novel computational and statistical methods for detecting cell type-specific genetic regulation of gene expression in a range of eye tissues using single nucleus RNA-seq and whole genome sequencing, and integrating these results with genome-wide association studies of common retina-related diseases to detect cell type-specific disease mechanisms. The postdoctoral fellow will have the opportunity to develop his or her own research projects and interests within this research area, and to present one’s work at local, national, and international meetings.
If interested, please send your CV, cover letter, and contact information for 3 references, to Dr. Ayellet Segrè: ayellet_segre [at] meei.harvard.edu.
Link:
https://www.asegrelab.org/
Postdoctoral Fellow in Imaging Genomics
University of Pennsylvania
Applications are invited for a Postdoc Position in the Shen Lab (https://www.med.upenn.edu/shenlab/) at the University of Pennsylvania. This position will offer opportunities to develop and apply advanced bioinformatics and machine learning (including deep learning) strategies for integrative analysis of multidimensional imaging, omics, biomarker and clinical data, with applications to the study of complex disorders such as Alzheimer’s disease (AD).
The following research areas are of particular interest: 1) development of novel informatics methods for integrative analysis of imaging, genetics and transcriptomics data to identify brain imaging genetic associations with evidence manifested in the human brain transcriptome; 2) development of transformative AI approaches for high throughput analysis of next generation sequencing and related AD biomarker and cognitive data in landmark AD biobanks for prediction of disease risk, prognosis and progression, identification of disease subtypes, and better understanding of disease mechanism; and 3) development of innovative translational big data analytic methods to systematically integrate AD biomarker research and systems medicine study, and to identify novel promising targets and drugs for repositioning against AD.
Requirements include a Ph.D. in CS, informatics, ECE, BME, biostatistics or related quantitative fields, and a record of academic productivities. Preference will be given to candidates who have experience with advanced techniques for analyzing biomedical data. A strong interest in integrative analysis of multimodal imaging data, high throughput genetics and omics data, and other biomarker data, would be highly desirable, as would solid background in machine learning, deep learning, medical image computing, bioinformatics, network science, and/or programming experience using Python, R, Matlab, C/C++, or other languages.
For more details, see https://www.med.upenn.edu/shenlab/2021a-shen-lab-postdoc.pdf.
Link:
https://www.med.upenn.edu/shenlab/2021a-shen-lab-postdoc.pdf
Computational Biologist
Schrödinger, Inc
We’re seeking a Principal Scientist, Computational Biology to join us in our mission to discover and develop drugs that improve human health through the use of breakthrough computational methods.
Our drug discovery and early clinical development team includes a cross-functional group of scientists and drug developers with experience working on all common target classes and therapeutic areas. The group is supported by more than 100 software developers and engineers as well as a large-scale compute infrastructure to apply our proprietary physics-based drug design and optimization platform. Ten of the programs we’ve worked on have progressed into preclinical development, with four currently in clinical trials and one approved by the FDA.
Who Will Love This Job
An exceptional collaborator who enjoys working with people from diverse backgrounds and experiences
A motivated and talented scientist who enjoys the challenge of identifying novel methodologies and delivering innovative medicines
A passionate scientist with an interest in a wide scope of drug development processes
What You’ll Do
Advance programs through collaboration with biologists, translational scientists and other project team members to explore compound MoA and generate computational hypotheses around patient segmentation and biomarker development
Leverage large-scale genomic and genetic datasets for target identification and triage in oncology and inflammatory and immunology
Apply cutting-edge computational methodologies and build predictive ML/AL models from high-dimensional, multi-modality datasets to empower data-driven decision making
Lead or participate in external collaborations to generate data and analysis packages across different drug programs
Work with external CROs for data generation and interpretation
Communicate computational analysis and discoveries across functional teams
Link:
https://www.linkedin.com/jobs/view/2613430665/?alternateChannel=search&refId=gyWpuHTR4%2BIiy2vzJ3wffQ%3D%3D&trackingId=%2BeyZp9%2BsuLyHRkvbrN6jxg%3D%3D
Cancer Research Data Scientists
The Data Science Institute of Columbia University
Applications are invited at all levels: Associate Research Scientist, Research Scientist, and Senior Research Scientist. This position is endowed; the holder will be named a Herbert and Florence Irving Cancer Research Data Scientist and will serve as a resident expert on advancing and applying data science to understanding cancer. The research data scientist will foster collaborations with world-class faculty across Columbia to guide, plan, and execute data science research and technological innovation in cancer-related research. Successful candidates will advance and apply data science in the context of cancer
research; identify opportunities for and participate in long-term, cancer-related research collaborations between DSI and the various schools and colleges across Columbia, the Herbert Irving Comprehensive Cancer Center, and the Herbert and Florence Irving Institute for Cancer Dynamics; contribute to and steward multi- and interdisciplinary data science research projects across the university; and support DSI’s mission to develop the interplay between data science and cancer research through contributions to outreach and training.
Candidates must have a Ph.D. or professional equivalent. All candidates are expected to have a record of outstanding productivity,
evidenced by publications, grants, software innovation, technology transfers, and other academic and/or industrial measures of impact, and experience in cancer-related and data science research. Officer of Research positions have several ranks, and candidates will be appointed at an appropriate rank given their experience.
Link:
https://apply.interfolio.com/88917
Biostatistician in Human Genetics and Functional Genomics of Complex Eye Diseases
Massachusetts Eye and Ear, Harvard Medical School
Drs. Ayellet Segrè and Janey Wiggs at the Ocular Genomic Institute and Department of Ophthalmology at Massachusetts Eye and Ear (MEE) are seeking a highly qualified and motivated Biostatistician with a strong background in statistics and computational biology to study the genetic and biological causes of complex eye diseases, including glaucoma, and detect genetic factors for differential drug response for treating diabetic retinopathy. MEE is a teaching hospital of Harvard Medical School and is an international leader for treatment and research in both Ophthalmology and Otolaryngology. Both labs are affiliated with the Medical and Population Genetics Program at the Broad Institute of Harvard and MIT. Dr. Segrè uses statistical and computational approaches that integrate functional genomics data (e.g., eQTLs, single cell RNA-seq data) with large-scale genome-wide association studies (GWAS) to identify causal mechanisms, genes and pathways that lead to common eye diseases (https://www.asegrelab.org/). Dr. Wiggs studies the genetic basis of glaucoma and has led the largest GWAS meta-analysis for primary open angle glaucoma (https://oculargenomics.meei.harvard.edu/labs/wiggs-lab/).
The successful candidate will have a strong background in statistics, statistical genetics, computational genomics, bioinformatics, or a related quantitative field, experience with large-scale genomic data analysis, and strong programming skills, and should be excited to contribute to advancing the science and medicine of eye disease. Research projects will involve statistical analyses of GWAS, whole genome and whole exome sequencing data, and large-scale genotype and phenotype data from the UK Biobank, and integration with functional genomic data, to identify novel genetic risk factors and biological processes associated with complex eye diseases.
If interested, please send your CV, cover letter, and contact information for 3 references to Dr. Ayellet Segrè: ayellet_segre@meei.harvard.edu
Link:
https://oculargenomics.meei.harvard.edu/
Bioinformatics Research Data Analyst II
Moffitt Cancer Center
Now hiring a Research Data Analyst II in the Translational Bioinformatics and Cancer Systems Biology Laboratory of Dr. Aik Choon Tan (tanlab.org ) at the H. Lee Moffitt Cancer Center & Research Institute. We are looking for a talented, energetic and highly motivated individual to join our lab to "contribute to the prevention and cure of cancer"! This position will be involved in innovative cancer genomic projects. The data analyst will be working closely with Dr. Tan and his lab in assisting the development of computational methods for processing and integrating cancer genomics data. The data analyst will have the opportunity to be trained by computational and experimental mentors, and will be supervised by Dr. Aik Choon Tan (aikchoon.tan@moffitt.org). He/she will have the opportunity to collaborate with cutting-edge oncology research groups at the Moffitt Cancer Center and work on translational research projects.
Position Highlights:.
Opportunity to work in exciting translational cancer research projects in a multi-disciplinary team science setting.
Participate in advanced cancer genomics and cancer systems biology research projects.
Outstanding mentorship from expert faculty with wide-ranging funded research programs.
Work at the intersection of data science and cancer research.
The Ideal Candidate:
Should have a strong interest in either basic or translational research. A track record of applying computational and/or statistical models to solve biological problems is desired.
Experience in common programming languages is needed (e.g., R, Python, C, Java, Perl).
Familiarity with next-generation sequencing data and other high-throughput bioinformatics data.
Familiarity with high dimensional data wrangling.
Familiarity with analysis techniques including machine learning, parallelization, and out-of-memory computation in a cluster environment, image processing, and high dimensional data visualization.
Link:
https://moffitt-cancer-center-careers.hctsportals.com/jobs/956828-rsch-data-analyst-ii-bioinformatics
Translational Bioinformatics Postdoctoral Fellow
Moffitt Cancer Center
Now hiring a Postdoc Fellow in the Translational Bioinformatics and Cancer Systems Biology Laboratory of Dr. Aik Choon Tan (tanlab.org ) at the H. Lee Moffitt Cancer Center & Research Institute. We are looking for a talented, energetic and highly motivated individual to join our lab to "contribute to the prevention and cure of cancer"! This position will be involved in innovative cancer genomic projects. The research fellow will develop computational and statistical algorithms for the analysis and interpretation of cancer genomic datasets using histopathological images and next generation sequencing technologies, and to develop computational tools for linking these vulnerabilities with therapeutics. The research fellow will have the opportunity to be trained by computational and experimental mentors, and will be supervised by Dr. Aik Choon Tan (aikchoon.tan@moffitt.org). He/she will have the opportunity to collaborate with cutting-edge oncology research groups at the Moffitt Cancer Center and work on translational research projects.
Position Highlights:.
Opportunity to work in exciting translational cancer research projects in a multi-disciplinary team science setting.
Participate in advanced cancer genomics and cancer systems biology research projects.
Outstanding mentorship from expert faculty with wide-ranging funded research programs.
Work at the intersection of data science and cancer research.
Translating bioinformatics research in clinical trials.
The Ideal Candidate:
The successful applicant will have completed (or be close to completing) a Ph.D. or M.D./Ph.D. in an applied quantitative discipline. This includes, but is not limited to, Computer Science, Informatics, Biostatistics, Population/Evolutionary Genomics, or Applied Mathematics.
Should have at least one first Author publication.
Experience in common programming languages is needed (R, Python, C, Java, Perl).
Preference will be given to applicants with strong evidence of productivity & creativity
Link:
https://moffitt-cancer-center-careers.hctsportals.com/jobs/954430-translational-bioinformatics-postdoctoral-fellow
Postdoctoral fellowship in algorithmic biology, Cancer Data Science Lab, NCI, NIH
Cancer Data Science Lab, NCI, NIH
Postdoctoral fellowships available with Dr Cenk Sahinalp at Cancer Data Science Lab. We are interested in talented applied algorithms and machine learning Ph.D.s with experience in sequence analysis and applied cryptography to join our team and lead exciting projects in algorithmic cancer biology. We have a strong preference for backgrounds in CS, ECE and math. Short (2-3 years) and long term (5 year - ideal for a change in research direction) fellowships available.
Link:
https://irp.nih.gov/pi/s-cenk-sahinalp
Bioinformatics Scientist I / II
Nkarta Therapeutics
Nkarta is a clinical-stage biotechnology company advancing the development of allogeneic, off the shelf natural killer (NK) cell therapies for Cancer.
Position Summary
The Translational Bioinformatics group is responsible for advancing Nkarta’s drug pipelines through the strategic application of cutting-edge bioinformatics and computational approaches. The successful candidate is expected to play a critical role in analysis and interpretation of omic data for development of cancer therapeutics. The candidate will have a comprehension of immunology, oncology, or immuno-oncology and the ability to apply modern computational biology approaches to provide scientific insights.
Primary Responsibilities
• Works closely with translational and research teams in analyzing novel cell therapy datasets.
• Analyzes and integrates heterogeneous datasets including high throughput NGS datasets such as RNA-seq, FACS and Whole Genome and Single cell datasets.
• Interrogates public databases such as TCGA, CCLE, GTex to infer data for biomarker discovery.
• Designs and develops robust data analysis pipelines and methods to support target discovery both in Translational and Research settings.
Position Requirements
• Hands on experience working with large-scale NGS dataset from genomics, transcriptomics, and proteomics experiments from oncology datasets.
• Prior experience with immuno-oncology, oncology or immunology datasets.
• Have solid knowledge of Unix/Linux, command line interfaces, and fluency in some common scripting and/or programming language (e.g., R, Python).
• Strong problem-solving and collaboration skills, and rigorous and creative thinking.
Preferred
• Experience analyzing single cell multi-omics datasets.
• Experience using Machine learning methods to interrogate large datasets.
Education / Background
• PhD in computer science, bioinformatics, computational biology or related quantitative fields with 2+ years post-PhD experience.
Senior Bioinformatics Scientist
DNAnexus
Job Description
This is an exciting opportunity to join DNAnexus’ growing team. We are looking for a bioinformatician familiar with genomics who enjoys working hands-on with other scientists, software engineers, and clients to solve informatics challenges to join our team. As a member of the Bioinformatics team in the DNAnexus xVantage organization, you will work with industry leaders across all aspects of genomics, gaining exposure to leading genomic science and application development. You will advise customers on best-practices, develop and integrate bioinformatics pipelines, data standards, methods, and datasets into the DNAnexus platform. You'll also be the scientific and technical liaison between DNAnexus and some of the highest-profile clients to help them fully leverage DNAnexus products and services to achieve their scientific objectives.
Responsibilities
Research, integrate, test and validate new bioinformatics methods on the DNAnexus Platform.
Ability to develop reusable, well-tested software in WDL, Python, R or shell scripting.
Work directly with clients to assess their scientific and bioinformatics needs and creatively propose solutions to meet or exceed these needs.
Advise customers on research and clinical pipelines incorporating multi-omics data of various types
Introduce DNAnexus to prospective customers and demonstrate how we can help them migrate to the cloud.
Teach new customers how to use the DNAnexus platform and SDK to develop their own analytic tools
Advance our relationships with scientific and technical users, achieve customer satisfaction objectives, and grow our active user base.
Synthesize learnings from customers to help direct our technology development roadmap.
Requirements
Masters, or equivalent experience, in computer science, bioinformatics, computational biology, biology, genetics, or related discipline with a computational emphasis. A Ph.D. is desirable.
Strong programming ability in relevant framework and languages such
Link:
https://www.smartrecruiters.com/DNAnexus/743999751533225-senior-bioinformatics-scientist
Bioinformatics Software Engineer
Boehringer Ingelheim
At Boehringer Ingelheim in Vienna, Austria, we are looking for a Bioinformatics Software Engineer.
The successful candidate drives the design and implementation of automated computational biology processing pipelines as well as continually improves the pipeline setup with a focus on reproducibility, scalability, as well as ease of use. Furthermore, she/he supports the processing and integration of large and complex data sets and helps to make data as well as analyses available in interactive web applications.
Large scale omics (NGS, proteomics) studies for preclinical drug discovery and development will represent the main data domain, complemented by functional screen (CRISPR), imaging, and rich phenotypic data.
If you like to code and are interested in helping to fight severe diseases, such as cancer, this position might be the right one for you.
Click the following link to find out more about the position and to apply:
https://boehringer-ingelheim.talentry.com/share/job/200914/571713/1630258385/3
Also have a look at our Computation Biology department page on LinkedIn and find more open positions in Austria, Germany, and the US.
https://www.linkedin.com/company/boehringer-ingelheim/life/7aa8c3ed-e606-4a4f-ab07-ac9d1242329d/
Link:
https://boehringer-ingelheim.talentry.com/share/job/200914/571713/1630258385/3
Bioinformatics Data Analyst / Data Steward
Boehringer Ingelheim
At Boehringer Ingelheim in Vienna, Austria, we are looking for a Bioinformatics Data Analyst / Data Steward.
Biomedical research is turning into information science, with an ever-increasing availability of multi-omics data sets ranging from pre-clinical models to patient data. You support and drive the implementation and maintenance of sustainable and comprehensive data assets according to FAIR principles. You will actively contribute to the introduction and implementation of new data management and analysis strategies aiming to unlock the full potential of our data assets.
If you like data and are interested in helping to fight severe diseases, such as cancer, this position might be the right one for you.
Let's turn data into insights and help patients.
Click the following link to find out more about the position and to apply:
https://boehringer-ingelheim.talentry.com/share/job/200681/571713/1630260170/3
Also have a look at our Computation Biology department page on LinkedIn and find more open positions in Austria, Germany, and the US.
https://www.linkedin.com/company/boehringer-ingelheim/life/7aa8c3ed-e606-4a4f-ab07-ac9d1242329d/
Link:
https://boehringer-ingelheim.talentry.com/share/job/200681/571713/1630260170/3
Knowledge Engineer
Boehringer Ingelheim
At Boehringer Ingelheim in Vienna, Austria, we are looking for a Knowledge Engineer.
As a knowledge engineer you will create a bridge between data and business requirements, drive new capabilities for reuse of cross domain data and information to help deliver efficient and scalable technology solutions for the development of cancer therapeutics. Together with computational biologist, data stewards and data engineers you will integrate data from different omics domain. Furthermore, you will support provisioning and development of controlled vocabularies, taxonomies, and ontologies to semantically enrich metadata.
If you like data and are interested in helping to fight severe diseases, such as cancer, this position might be the right one for you.
Let's turn data into knowledge and help patients.
Click the following link to find out more about the position and to apply:
https://boehringer-ingelheim.talentry.com/share/job/200682/571713/1630260770/3
Also have a look at our Computation Biology department page on LinkedIn and find more open positions in Austria, Germany, and the US.
https://www.linkedin.com/company/boehringer-ingelheim/life/7aa8c3ed-e606-4a4f-ab07-ac9d1242329d/
Link:
https://boehringer-ingelheim.talentry.com/share/job/200682/571713/1630260770/3
Post-doc, genotype-phenotype map
Cold Spring Harbor Laboratory
A postdoctoral position is available in computational analysis of genotype-phenotype data in the McCandlish lab in the Simons Center for Quantitative Biology at Cold Spring Harbor Laboratory.
We are looking for a candidate to develop and apply new methods for the analysis of high-throughput experimental data (deep mutational scanning, MPRAs) and genomic sequence data, with a particular emphasis on inferring and understanding complex genetic interactions.
Informal inquiries via e-mail are welcome. Please see the link below for the full job posting.
https://cshl.peopleadmin.com/postings/18419
Data and Cancer Collaboratory Post-Doctoral Scientist
The Data Science Institute at Columbia University
Applications are invited for the position of a Data and Cancer Post-Doctoral Scientist. The recipient of this two-year research position will be embedded in a Columbia University Irving Medical Center (CUIMC) cancer tumor board, an interdisciplinary board of clinicians reviewing plans of care for complex cancer tumor cases using state-of-the-art genomic, imaging analysis, and natural language processing where appropriate. The intent of this post-doc position will be to advance and provide data science expertise, data-driven evidence, and data science decision-making and modeling in cancer patient review and treatment. Based on this unique opportunity to work directly with clinicians, the post-doc will be expected to identify new research questions for data science research in cancer care, work on interdisciplinary research projects between clinicians/MD’s and data science researchers at Columbia, and publish original research results. The post-doc will work in collaboration with a Tumor Board Clinician Mentor and with DSI Research Scientists and faculty experts. The individual will play a unique role for the Institute: not just advancing knowledge, but also bringing that knowledge to action in partnership with CUIMC clinicians and DSI researchers.
The post-doc will be part of a select like-minded cohort of fellows and research scientists focused specifically on data science and cancer, as well as be a member of the DSI general Post-Doctoral Fellow cohort. The post-doc will contribute to the defining the applications and new discovery in the field of data science and cancer treatment for the long-term future.
The Data Science Institute Data and Cancer Collaboratory Post-Doctoral Scientists are funded by a generous gift to the Data Science Institute with the goal of using data science to advance in cancer treatment, research and discovery.
Link:
https://apply.interfolio.com/88793
Multiple positions in Single-cell genomics/Statistical genomics
Rutgers University
The Vivian Li lab is interested in statistical modeling and algorithm development, as well as their applications to high-throughput sequencing data in bioinformatics and clinical research. We are hiring at all levels, including graduate student/research assistant/postdoc, to work on multiscale analysis of single-cell transcriptomes. Please contact Dr. Vivian Li if you are interested in using statistical/computational methods to answer biological questions and have a background in statistics, biostatistics, bioinformatics, computer science, or other related fields.
Link:
https://vivianli.org
Postdoctoral researcher in the Junction of Statistics and Biology lab at UCLA
UCLA
The research group “Junction of Statistics and Biology” led by Dr. Jingyi Jessica Li in the Department of Statistics at UCLA invites applications for a postdoctoral position. The research in the group focuses on developing statistical methods to address important biological and biomedical questions from high-throughput genetic and genomic data.
Our current projects include: identifying disease/trait-associated genes from population-scale bulk RNA-seq data, studying temporal and spatial dynamics from single-cell multi-omics data, benchmarking computational tools, and statistical methodology development for asymmetric classification and multiple testing motivated by genomic applications. We will strongly support highly motivated postdocs to initiate independent lines of research.
Requirements
To be considered for this position, an applicant should have:
· a PhD degree in a related field (statistics, biostatistics, computer science, machine learning, mathematics, bioinformatics, computational biology, etc.)
· strong programming skills: (Python | C | C++ | Java) & (R | Matlab)
· strong quantitative background (statistical modeling, machine learning, etc.) or extensive computational genomics experiences (high-throughput sequencing data analysis, bioinformatic applications, etc.)
· first author paper(s) written in English in previous area of research, with status as accepted or published in journals or conference proceedings
· strong oral and written communication skills in English
Application Process
Interested applicants should submit (1) a letter of interest, (2) a one-page proposal for a project to be conducted in Professor Li's group, (3) CV, and (4) three references (including name and contact information) to jli [at] stat.ucla.edu with subject line “Postdoc application.”
Link:
http://jsb.ucla.edu
Postdoctoral researcher
University of Michigan
Developing and applying machine learning approaches for single-cell multi-omic and spatial transcriptomic data. New datasets generated by collaborators studying human and mouse brain, bone, and blood cells.
Link:
welch-lab.github.io
Postdoc or PhD student in Algorithmic Bioinformatics
Saarland University
The group of Algorithmic Bioinformatics (Prof. Sven Rahmann) at the Computer Science Department and Center for Bioinformatics is inviting applications for the following position commencing at the earliest opportunity:
Academic research assistant (m/f/x)
salary in accordance with the German TV-L salary scale1, pay grade: E13, employment: for up to 3 years, 100 % of standard working time.
We offer two academic research assistant (m/f/x) positions in the newly established Algorithmic Bioinformatics group at the Computer Science Department and Center for Bioinformatics.
The group, led by Prof. Sven Rahmann, develops novel algorithms for pressing problems in Bioinformatics, including extremely fast and compact hashing algorithms, methods to quantify similarity between and diversity among biological sequences, or probabilistic methods to analyze genome-scale datasets, including machine learning techniques. We apply our methods in clinical or research settings and help our collaborations partners to analyze their datasets. Some well known tools develop in the group are the workflow management system Snakemake, the methylation analysis tool amplikyzer2, the adapter removal tool cutadapt, the DNA motif discovery tool MoSDi, and may others. Several former PhD students of the lab have in the meantime become professors.
Job requirements and responsibilities:
• Conducting research in algorithms for bioinformatics problems
• Writing publications and giving presentations both internally and externally at research meetings
• Teaching in the Bachelor and Master Bioinformatics program of the university
• Co-supervision of Bachelor and Master theses in the Bioinformatics program
Your academic qualifications:
• Completed scientific university studies in bioinformatics, computer science or a related discipline (Master or PhD). (The opportunity to pursue the next qualification goal, PhD degree or habilitation or qualification towards own group leadership, is provided.)
Link:
https://www.rahmannlab.de
Research Assistant / Laboratory Manager / Bioinformatician
University of Arkansas
Full-Time Research Assistant / Laboratory Manager is available in Fall 2021 in the Lab of Dr. Xuan Zhuang, Department of Biological Sciences, University of Arkansas. Research interests in the Zhuang Lab include Genetic basis of variation for complex traits and diseases; Evolution of genetic novelty and diversity; Molecular mechanisms of gene formation and gene loss. Investigations involve comparative genomics, molecular evolution, quantitative genetics, and bioinformatics.
As a lab manager, the candidate will assist the PI to set up a new lab and support the laboratory research requirements of the lab, including new equipment ordering and testing, protocol development, equipment maintenance, supply stock ordering, and basic administrative duties. As a research assistant, the candidate will assist the PI with conducting experiments, collecting data, and performing comparative genomics or quantitative generics studies. The candidate will work directly with the PI and will have opportunities to participate in research seminars; attend conferences; collaborate on publications; and supervise undergraduate researchers. The position offers excellent benefits and a friendly working environment.
Please contact Dr. Zhuang and email your CV, unofficial transcripts, contact information of three references, and a cover letter describing your experience relevant to the ones listed below.
Minimum Requirements
• B.S. or M.S. in Biology or related fields.
• Experience working in a research lab or as a Bioinformatician.
Desirable Qualifications
• Experience being a lab manager, or setting up new lab with PI.
• Experience working in a Linux/Unix environment, and using Python, R, etc.
• Molecular biology lab skills or genomic data analyzing experience.
• Research experience in comparative genomics or quantitative generics.
• Experience working with fruit fly or fish.
Link:
https://fulbright.uark.edu/departments/biology/directory/index/uid/xz036/name/Xuan+Zhuang/
Postdoc position in machine learning for precision medicine and health equity
University of Tennessee Health Science Center
The computational systems biology lab at University of Tennessee Health Science Center (https://compbio.uthsc.edu) is seeking highly motivated candidates for a postdoc position. The candidate should have a Ph.D. degree in computer science, statistics, or related fields. Strong expertise in deep learning is required. Research experience in EHR and/or OMICS data analysis is a significant plus. The successful candidate will develop machine learning algorithms for precision medicine and health equity. Over 80% of the current GWAS and clinical OMICS data were collected from individuals of European ancestry, which comprise about 16% of the world’s population. AI-powered precision medicine is set to be less precise for the data-disadvantaged populations. We are committed to address the new health disparities arising biomedical data inequality. For a pilot study in this direction, please see this paper (https://www.nature.com/articles/s41467-020-18918-3.pdf).
Located in Memphis, a dynamic Mid-South city rich in culture, history, diversity, music and cuisine, the University of Tennessee Health Science Center is one of the largest, most comprehensive academic health centers in the United States with a solid commitment to postdoctoral training.
HOW TO APPLY: Send CV to Dr. Yan Cui (ycui2@uthsc.edu).
Computational Biologist
Synlico Inc
Synlico is taking a different approach to understand biological system and process. The company is seeking talented, ambitious researchers to develop cutting-edge computational tools to understand individual cells and well as new technologies to enable more accurate prediction of biological system. The company’s research is highly interdisciplinary, involving system biology, genomics, bioinformatics, mathematics, and highly team oriented.
The computational biologist position will apply new algorithms and develop new cell modeling tools in areas of interest to the company. Candidates should have expertise in application aspects of following areas:
• Deep understanding of system biology such as biological network motif and robustness of biological system.
• Familiar with Dynamic modeling, boolean network modeling, rule based modeling, PDE/ODE modeling.
• Stochastic simulation algorithm, PDE/ODE modeling
• Multilscale simulation, special stochastic kinetics, coarse-Grained simulations
• Parameter estimation
• High Performance Simulation
Position Requirements
• Ph.D degree in computer science, bioengineering, mathematics, physics, statistics, or a related discipline.
• Strong understanding of theoretical and application aspect of system biology and cell modeling.
• Extensive experience and understanding with mathematical modeling of cell signaling network.
• Programming experience in Python, C, C++,Fortran, Matlab or other programming languages.
• Ability to work independently and within a team.
H1B will be provided to qualified candidates. OPT is also acceptable for this position.
Interested candidates please send your CV and full list of publications to career@synlico.com
Link:
None
PhD Student in Computational Immunology
Frankfurt Cancer Institute
The group of Computational Immunology is part of the Immunomonitoring platform at the Frankfurt Cancer Institute located in Frankfurt am Main, Germany, https://fci.health/en/immunomonitoring/ . We are interested in understanding the genetic basis for human immune system diversity, with a particular focus on cancer immunology. We develop computational tools for human immunology and collaborate with experimentalists and clinicians at the University Hospital Frankfurt and worldwide.
Research tasks:
- Computational method development and collaborative research projects in the field of cancer immunology and immunotherapy
- Analysis of different types of multi-omics data (single-cell sequencing, proteomics, multiplexed immunofluorescence images)
- Analysis of adaptive immune receptor sequences (B cell and T cell receptors)
Qualification and requirements:
- Master’s degree in Computational Biology, Bioinformatics, Biophysics or related field (or Biology + excellent programming skills)
- Hands-on experience in programming with at least one scripting language such as Python or R
- Strong interest in immunology or cancer biology
- Ability to conduct independent research and enjoy working in an international and interdisciplinary environment
- Fluency in English language
Contact Katharina Imkeller (imkeller@embl.de) with questions and to apply.
Postdoc position in machine learning
University of Warsaw
Laboratory of Modeling of Cellular Processes is looking for highly motivated candidates for a postdoc position to work in the project entitled: "Self-learning systems in the design of compounds modulating GPCR receptors activation". The candidate should have a Ph.D. degree in computer science, statistics, bioinformatics, biophysics, computational chemistry, or related fields. The successful candidate will develop ML algorithms to decrease the number of compounds for testing in the pre-clinical phase of GPCR drug discovery.
Postdoctoral Associate, Smillie Lab
Harvard Medical School, Massachusetts General Hospital
The Smillie Lab is seeking highly motivated, independent, and creative people with dry or wet lab expertise to join our team. We are a new research group at Harvard Medical School, Massachusetts General Hospital, and the Broad Institute that uses genomics to study the human microbiome and mucosal immunity. Past work has focused on recent evolution of the human microbiome (Nature, 2011), single-cell genomics of the human colon during health and IBD (Cell, 2019), and single-nucleus mapping of the enteric nervous system (Cell, 2020).
Specific areas of interest include:
- The evolution of the human microbiome in health and disease
- Single-cell and spatial transcriptomics methods to study host-microbiome interactions
- The enteric nervous system and neuro-immune communication
- Gut and lung biology, cell-cell interactions, and tissue circuits
We are looking to build a collaborative, rigorous, and fun research environment with strong connections between wet and dry labs. Bench scientists can receive training in genomics and computational biology, while computational scientists can work closely with wet lab biologists. All scientists will benefit from extensive collaborations at MIT, Harvard, and the Broad Institute.
Requirements:
Qualified candidates should have:
- Degree in Computer Science/Engineering, Bioinformatics, Biostatistics, or a related field
- Comfort and experience with programming for biological data analysis
- Strong publication record and excellent communication skills
Independence, creativity, and ability to work well with others
How to apply:
Please send your CV and a brief description of your research interests to Chris Smillie (csmillie@mgh.harvard.edu).
Link:
https://www.smillielab.org
Postdoctoral Research Scientist in Machine Learning
Weil Cornell Medicine & The City University of New York
Weill Cornell Medical College of Cornell University and Computer Science at The City University of New York are seeking a joint Postdoctoral Research Scientist in the fields of machine learning, computational genomics, translational bioinformatics, systems biology, and biophysics. The candidate is expected to develop new computational methods for the multi-scale modeling of drug actions and genotype-phenotype associations as well as apply state-of-the-art computational tools to omics data analysis and integration, drug discovery and precision medicine. Depending on candidate’s interests and backgrounds, specific projects may include but not limited to: predicting genome-wide protein-ligand interactions, integrating and analyzing multiple omics data for drug target identification, identifying individualized drug response biomarkers, text mining of electronic medical records, knowledge representation and ontology development of drug responses, drug repurposing, and any other open questions in systems pharmacology. The Postdoctoral Scientist has the opportunity on developing or enhancing skills in statistics, machine learning, and big data analytics. Our multiple NIH funded projects involve close collaborations between Cornell University, University of Virginia, and CUNY. We provide you with the ideal research environment to advance your career: freedom to pursue your interests, interaction across disciplines, and excellent salary.
Candidates must have a Ph.D. in bioinformatics, computational biology, statistics, mathematics, biophysics, computer science, and/or related fields. The candidate also must have a strong background and experience in one or more of the following areas: genomics, gene expression data analysis, systems biology, chemoinformatics, biophysics, machine learning, or multi-variable statistics; strong programming skills using Python or R; effective communication skills; self-motivated and independent.
Link:
http://compsci.hunter.cuny.edu/~leixie/
Postdoctoral Fellow in Single Cell and Multiomics Research
Moffitt Cancer Center
Now hiring a Postdoc Fellow for Single Cell Computational Research in the Laboratory of Dr. Y. Ann Chen (http://lab.moffitt.org/chen/) at the H. Lee Moffitt Cancer Center & Research Institute. We are looking for a highly motivated and independent candidate with a strong quantitative background to develop computational approaches for analyzing single cell and multiomics data in cancer research. This position will be involved in exciting cancer omics projects. The research fellow will be responsible for developing statistical methods and computational tools for integrating and visualizing multi-modality single cell and bulk omics datasets. The goals are to understand tumor immune interaction, enhance cancer theraputics prediction, select predictive biomarkers, and improve cancer patient outcomes. The research fellow will have the opportunity to be trained by computational and experimental mentors, and will be supervised by Dr. Chen. He/she will have the opportunity to collaborate with cutting-edge oncology research groups and clinicians at the Moffitt Cancer Center and work on translational research projects. Come and join us to "contribute to the prevention and cure of cancer"!
Interested applicants should send a single PDF file that includes a cover letter, current CV, and contact information for three references to Dr. Y. Ann Chen @ Ann.Chen@moffitt.org.
Link:
http://lab.moffitt.org/chen/
Bioinformatics & Experimental Postdoc at 4D Nucleome Functional and Structural Genomics lab in Poland (https://4dnucleome.cent.uw.edu.pl)
Centre of New Technologies, University of Warsaw
Experimental and bioinformatics postdoc within "Multiscale spatial reorganization of chromatin in response to replication stress and its role in cellular protection against genomic instability" project. Details at https://4dnucleome.cent.uw.edu.pl and https://cent.uw.edu.pl/en/laboratories/laboratorium-genomiki-funkcjonalnej-i-strukturalnej/
Link:
https://cent.uw.edu.pl/en/career/postdoc-adjunct-in-the-laboratory-of-functional-and-structural-genomics/
Bioinformatics & Experimental 2nd Postdoc at 4D Nucleome Functional and Structural Genomics lab in Poland (https://4dnucleome.cent.uw.edu.pl)
Centre of New Technologies, University of Warsaw
Experimental and bioinformatics postdoc within "Multiscale spatial reorganization of chromatin in response to replication stress and its role in cellular protection against genomic instability" project. Details at https://4dnucleome.cent.uw.edu.pl and https://cent.uw.edu.pl/en/laboratories/laboratorium-genomiki-funkcjonalnej-i-strukturalnej/
Link:
https://cent.uw.edu.pl/en/career/stazysta-podoktorski-adiunkt-w-laboratorium-genomiki-funkcjonalnej-i-strukturalnej/
Postdoctoral researcher in Computational Genomics
University of California San Diego
A research position is available in Dr. Vikas Bansal’s research group at the University of California San Diego for postdoctoral research in Computational Genomics. The group focuses on developing computational methods for the detection and analysis of genetic variation using high-throughput DNA sequencing technologies and applying these methods to understand human disease. The lab has developed computational methods for haplotype phasing (HapCUT2), small variant calling (Longshot, Nature Communications 2019) and read mapping in segmental duplications (Nucleic Acids Research 2020) using long-read sequencing technologies. Long-read sequencing technologies have the potential to overcome some of the key limitations of short-read sequencing, particular in long repetitive regions of the human genome, but require the development of new algorithms. The selected candidate is expected to work on developing computational methods and tools for long-read sequencing technologies and applying them to human genome analysis. Salary is negotiable and will be commensurate with experience and skills.
Link:
https://bansal-lab.github.io/publications.html
Postdoctoral Fellow in statistical genomics and single cell research
Penn State University
The Department of Statistics, at The Pennsylvania State University, invites applications for multiple Postdoctoral Scholar positions in the lab of Prof. Qunhua Li (with collaboration with Prof. Ross Hardison and Prof. Xiang Zhu). Potential research projects include (but not limited to) developing novel statistical and computational methods for analyzing large-scale genomics and genetic/epigenetic data from next-generation sequencing technologies and single cell technologies. A Ph.D. in Statistics, Biostatistics, Bioinformatics, Computational biology or directly related field at time of appointment is required.
The successful applicants will be expected to have a solid background in statistical modeling and computational skills, research experiences showing independence and innovation, and demonstrated academic writing skills. Prior experience in quantitative data analyses for large-scale biological data is preferred.
This position is two-year with the possibility of renewal. The initial appointment is one-year from the date of hire and will be renewed yearly upon satisfactory performance.
The successful candidates will join an interdisciplinary group of graduate students, postdoctoral researchers, and faculty, as well as centers such as the Center for Medical Genomics (http://cmg.psu.edu/) and the Center for Eukaryotic. Recent work from the research team can be found at the following websites:
Qunhua Li : http://www.personal.psu.edu/users/q/u/qul12/
Ross Hardison: https://science.psu.edu/bmb/people/rch8
Xiang Zhu: https://pennstate.pure.elsevier.com/en/persons/xiang-zhu
Applicants must email the following materials to Prof. Qunhua Li (qunhua.li@psu.edu) and submit an application through Mathjobs.org (https://www.mathjobs.org/jobs/list/17555) in order for the application to be complete: (1) Curriculum Vitae; (2) Statement of Research Experience and Interests; (3) Names and Contact Information for two references. Informal inquiry can be sent to qunhua.li@psu.edu
Postdoctoral fellow in computational 3D genome organization & function
University of Southern California
The Fudenberg group is actively looking for postdoctoral researchers to join us on our journey to understand genome organization and function. We are part of the Quantitative and Computational Biology Department at USC, which hosts an incredible range of computational biology research all on one floor. Our group has had fruitful collaborations with researchers with backgrounds ranging from theoretical physics, to computer science, to chromatin biology, and welcome researchers excited by inter-disciplinary science.
Our group uses computational approaches to identify and answer fundamental questions in genome biology. These include:
• How do molecular interactions between proteins organize micron-long chromosomes?
• Which DNA sequences specify when & how this organization occurs?
• How does genome organization influence communication between DNA regulatory elements?
Our group currently develops:
• polymer simulations of genome folding mechanisms
• neural network models of DNA sequences determining genome folding
• computational tools for large-scale genomic data analysis and visualization
Potential research projects include developing computational approaches for:
• designing DNA folding in silico
• discovering new regulators of 3D genome folding
• simulating biophysical pathways of chromosome folding
• large-scale analysis and visualization of 3D genome folding data
Applicants should have a strong quantitative background (e.g. PhD in computational biology, physics, applied math, or computer science), a strong interest in genome biology, and the skills to work collaboratively in a team. Prospective postdocs should send via email a 1-2 page cover letter with a description of their past and potential research interests, including how the latter would be enriched by time in our group, as well as a CV and contact information for 3 references. For more information and contact information, see https://fudenberg.team/.
Link:
https://fudenberg.team/contact/
Postdoc fellow
Tulane University
The Division of Biomedical Informatics and Genomics at Tulane University School of Medicine has an open postdoctoral position to study computational proteomics. This is an annual renewable appointment for up to five years subject to performance and funding. The postdoc will work with Dr. Xiaowen Liu (https://www.toppic.org/people/xliu/index.html) on designing and implementing software tools for analyzing mass spectrometry data. Research areas will focus on algorithm design, machine learning, and proteomics data analysis.
Qualifications
The ideal candidate will have a PhD in computing, statistics, or bioinformatics; a strong background in data analytics, machine learning, and mathematical modeling, a strong interest in bioinformatics, and solid C++ programming skills for software development in Linux.
Link:
https://medicine.tulane.edu/departments/division-biomed-gen/faculty/xiaowen-kevin-liu-phd
Postdoctoral Fellow in Boston Children's Hospital
Boston Children's Hospital
Postdoctoral positions are available for highly motivated and skilled individuals with expertise in next generation sequencing (NGS) analysis and statistical genomics. Dr. Kong’s group in the Computational Health Informatics Program (CHIP, http://www.chip.org) at Boston Children’s Hospital, Boston, MA, USA (www.childrenshospital.org) are looking for enthusiastic and talented genome scientists at various levels (post-docs and research scientists). We seek to improve current clinical practices by providing expertise and insight from largescale and multidimensional analysis of multi-omics datasets from patients with diverse disorders. PRIMARY DUTIES AND RESPONSIBILITIES:
• Develop novel computational and bioinformatic tools for genomic analysis.
• Statistical analysis of genomic and clinical datasets from case-control and cohort studies and interpret the results accordingly.
• Work independently on multiple ongoing projects with flexibility to adjust to new priorities.
• Cross-training bioinformatic colleagues.
• Present the work in form of scientific publications and oral communications to the scientific community.
KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED:
• Strong proficiency with R, python and other programming languages.
• Familiarity with modern statistical analysis paradigms with high-dimensional data is required.
• Strong communication skills and ability to effectively translate scientific concepts to multidisciplinary personnel.
• Demonstrated ability developing analysis schemes for whole-genome sequencing (WGS), RNA-Seq and epigenomic profiles.
• Deep understanding of genomics and molecular biology.
• Highly proficient in spoken and written English and scientific writing skills.
The candidates must hold a Ph.D. or equivalent degree by the start of employment. Applicants should send a cover letter with research experience and interests, curriculum vitae (CV), and the names and contacts of three referees to Dr. Sek Won Kong (sekwon.kong@childrens.harvard.edu).
Postdoc scientist (2 years) - Systems biology - Metabolic modelling - Gut microbiota
Inria
The project aims at building a quantitative model of the gut microbiota in space and time at the metabolic level. To that end, we are looking for a systems biologist who will work on metabolic model reduction and simplification. We aim at developping methods to identify key microbes and functions that will be used for modelling in space and time. The recruited scientist will work in collaboration with a second postdoc scientist who will work on the mathematical part of the project.
The project is funded for two years by Inria, the French national Institute for research in computer science. The lab is in Bordeaux, in the South of France. More details on the website or via email to: clemence.frioux@inria.fr.
Link:
https://jobs.inria.fr/public/classic/fr/offres/2021-03628
PhD position 'Virus diversity and evolution in natural plant ecosystems'
Wageningen University
Wild plant communities act as viral reservoirs that are also connected to agricultural plants. Since viruses can spill over from natural to agricultural systems, it is highly relevant to characterize virus diversity in wild plants. Plant virus genomes are highly diverse and evolve rapidly. To know which role plant viruses play in shaping natural plant communities, we must characterize their biodiversity and evolution.
You might be familiar with the phenomenon that plant virus infections are often asymptomatic, i.e., they do not cause overt disease, and can even be beneficial for the host. Recently, plant virus research expanded from the study of individual virus-host systems into characterizing global diversity using metagenomics, i.e., sequencing the genetic content of environmental samples without the need for prior virus isolation. Metagenomics led to the surprising observation that virus infections are ubiquitous, that there is a high incidence of mixed infection, and that most plant viruses identified in crops also occur in wild plants. There is growing evidence that viruses can impact plant ecosystems, which calls for a reappraisal of the role of viruses in natural ecosystems and accentuates the need to understand virus genomes and their function and evolution.
The aim of this project is to develop bioinformatics methods to analyze plant virus metagenome data that has been sampled from wild plants in the Netherlands. This (and potentially your) project will contribute to understanding plant virus diversity and evolution in natural Dutch ecosystems. You will contribute to developing bioinformatics methods to discover and reconstruct virus genomes from high-throughput plant virus sequencing data and to analyze ecological and evolutionary properties of these viruses. To this end, we aim to analyze the effect of host range and mixed infections on intra-host diversity and estimate how recombination and selection impact virus genome evolution.
Link:
https://www.wur.nl/en/vacancy/PhD-position-Virus-diversity-and-evolution-in-natural-plant-ecosystems.htm
postdoc in algorithmic bioinformatics
Tel Aviv University
The Shamir lab at Tel Aviv University is inviting applications for postdoctoral positions in development of algorithms for deep sequencing and multi-omic data. We seek a highly creative, independent, strongly motivated researcher to join our Computational Genomics group. The lab works on high throughput genomics, medical informatics, gene regulation, and cancer analysis using algorithmic and machine learning methodologies. The postdoc will collaborate with group members on developing resource-efficient algorithms for analysis of deep sequencing and multi-omic data. Strong background in theoretical computer science and ability and programming knowledge are required. Additional background in bioinformatics or biology is preferred but not essential. Starting date: asap.
Link:
http://acgt.cs.tau.ac.il/index.php
Postdoctoral fellow in cancer chromatin organization
MD Anderson Cancer Center
The Akdemir lab at the Neurosurgery department of MD Anderson Cancer Center seeks computational biology post-doctoral fellows to work on the analysis of comprehensive genomic datasets from human central nervous system (CNS) tumors. The laboratory focuses on integrative computational analyses projects to advance efforts for precision cancer medicine. The projects include analyzing multi-omics datasets from primary human tumors such as long-read whole genome sequencing, genome-wide chromatin organization (Hi-C) and single-cell ATAC-sequencing from common (i.e. glioblastoma) or rare (i.e. chordoma) CNS tumor types to investigate how tumor evolution shapes the organization of chromatin in cancer cells and tumor microenvironment. Qualifications:
• Ph.D. in bioinformatics, mathematical, physical, or computer science, or comparable research experience, together with significant experience in computer programming and computational biological applications.
• At least one first/co-first author bioRxiv preprint or paper with submitted, accepted or published status in journals is required.
• Experience in R and/or Python is required. A background in cancer genomics and next-generation sequencing data handling is preferred.
Interested candidates, please contact with Kadir by providing your CV and a 1 page cover letter describing why you are interested in this position and how your prior experience is related with mentioned projects.
More information can be found at akdemirlab.github.io
Link:
https://akdemirlab.github.io/
Postdoctoral Associate in Computational Proteomics
The Hong Kong University of Science and Technology
Postdoc associate positions with a monthly salary of 32,000 HKD plus medical and dental benefit are available in the area of computational proteomics. The ideal candidates may be majored in computer science, electronic engineering, biomedical engineering, applied mathematics, or statistics. Biological knowledge is a plus but not a must. The positions are for two years initially and are open until filled. Extension is possible and will be based on mutual agreement. Interested candidates should email his/her CV, a brief research statement, and names of two or three referees (PDF file preferred) to Prof. Weichuan YU at eeyu@ust.hk
Link:
http://bioinformatics.ust.hk/Positions.html
Tenure track investigator positions in computational biology at NIH
National Institutes of Health
Stadtman Tenure-Track Investigator in Computational Biology across all institutes at NIH
Link:
https://irp.nih.gov/careers/trans-nih-scientific-recruitments/stadtman-tenure-track-investigators
Senior Post-Doctoral Researcher in Biomedical and Metabolomics Data Analyses
University Hospital Schleswig-Holstein
We are looking for an enthusiastic and motivated candidate with a PhD degree in data science / bioinformatics / computational biology / physics or similar research fields. The candidate should have a strong background in the work with biomedical and metabolomics data, machine learning, and statistical programming tools like R or PYTHON. Moreover, we expect the ability to work independently and as a team member. Work tasks include:
- Training and evaluation of high-dimensional machine learning models (e.g. Cox regression, LASSO regression, probabilistic graphical models) based on both biomedical and metabolomics (longitudinal) data
- Interpretation of machine learning models within biomedical context with the aid of expert nephrologists
- Presentation to the scientific community, i.e., by publishing in high-ranked journals and via presentations at international conferences
Link:
https://jobs.uksh.de/job/Kiel-Schl-24105/708763701/
Junior Bioinformatician / Data Scientist
myNEO
myNEO is a Belgian biotech company in Ghent, focused on identifying, exploring, and validating personalised cancer treatments based on genomic analysis of sequencing data. Our proprietary state-of-the-art algorithms, incorporated in the platform, are open for licensing by biotech and pharma companies to improve the efficacy & applicability of the immunotherapies they are developing.
What does the job entail?
• Running, monitoring, and maintaining our state-of-the-art neoantigen discovery pipeline
• Researching, developing, implementing, and documenting new features
• Assessing the quality of the bioinformatics analysis results
• Presenting your progress and results in a clear and engaging fashion
• Maintaining a scientific watch to remain at the cutting edge of the field
• Attending conferences and training workshops to improve your knowledge and to network
What are we looking for?
• 0 to 3 years of experience in the field
• Experience in NGS data handling, processing and analysis
• Experience in variant calling processes is a plus
• Familiar with biological databases design, curation and maintenance
• Good programming skills (1+ languages Python, Perl, R, C++, Julia)
• Experience with High-performance computing and performance optimisation
• Cancer biology background is a plus (cancer metabolism, tumour genomics, innate immune responses)
• Strong interest in cancer research and personalised therapeutics is highly recommended
• Critical about assessing implications of research and able to convert them into pathway functionalities
• Team player who is able to be flexible and work independently
What do we offer?
• A competitive salary
• Flexible working hours and home office 1-2 days/week
• A generous benefits package (laptop, hospital insurance, meal vouchers, bicycle allowance)
• The possibility to grow side-by-side with the company and to get responsibilities from day 1
• Involvement in discussions with highly experienced academics, doctors, and industrialists.
Link:
https://myneo.me/en
Senior Bioinformatician/Data Scientist
myNEO
myNEO is a Belgian biotech company in Ghent, focused on identifying, exploring, and validating personalized cancer treatments based on genomic analysis of sequencing data. Our proprietary state-of-the-art algorithms, incorporated in the platform, are open for licensing by biotech and pharma companies to improve the efficacy & applicability of the immunotherapies they are developing.
What does the job entail?
• Running, monitoring, and maintaining our state-of-the-art neoantigen discovery pipeline
• Researching, developing, implementing, and documenting new features
• Leading and managing small teams on individual projects and collaborations
• Assessing the quality of the bioinformatics analysis results
• Presenting your progress and results in a clear and engaging fashion
• Maintaining a scientific watch to remain at the cutting edge of the field
• Attending conferences and training workshops to improve your knowledge and to network
What are we looking for?
• At least 5 to 8 years of experience in the field
• Experience in computational analysis pipelines for high-throughput NGS data analysis
• General experience in NGS data handling, processing, and analysis
• Familiar with biological databases design, curation, and maintenance
• Good programming skills; Python,R and bash knowledge mandatory, 1+ of Perl/C++/Julia/JavaScript is a plus
• Experience with high-performance computing and performance optimization
• Experience with visualisation tools and Machine Learning/Deep Learning is a plus
• Biological background (cancer metabolism, tumour genomics, innate immune responses)
• Strong interest in cancer research and personalized therapeutics is highly recommended
• Critical about assessing implications of research and able to convert them into pathway functionalities
• Actively follow-up a team of junior bioinformaticians in their progress and provide guidance
• Team player who is able to be flexible and work independently
Link:
https://myneo.me/en
Junior Bioinformatics Scientist
Achilles Therapeutics
We are seeking a talented and enthusiastic Bioinformatics Sceintist to join the Bioinformatics Research Group. As part of an international consortium, the Scientist will contribute to the design, development and implementation of novel tools that predict neoantigen immunogenicity to inform the next-generation of personalised immunotherapies. The ambitious research programme is funded by a Future and Emerging Technologies grant under the EU Horizon 2020 programme, and integrates cutting-edge expertise from internationally renowned scientists based at UCL, The Francis Crick Institute, The Danish Technical University, the Weissman institute and Achilles Therapeutics.
Link:
https://apply.workable.com/achilles-therapeutics/j/931F7FAC8C/
Senior Bioinformatics Scientist
Achilles Therapeutics
We are seeking a talented and enthusiastic Senior Sceintist to join the Bioinformatics Research Group. As part of an international consortium, the Senior Scientist will contribute to the design, development and implementation of novel tools that predict neoantigen immunogenicity to inform the next-generation of personalised immunotherapies. The ambitious research programme is funded by a Future and Emerging Technologies grant under the EU Horizon 2020 programme, and integrates cutting-edge expertise from internationally renowned scientists based at UCL, The Francis Crick Institute, The Danish Technical University, the Weissman institute and Achilles Therapeutics.
Link:
https://apply.workable.com/achilles-therapeutics/j/FB2E8E8CEA/
Postdoctoral fellow in statistical genetics and computational analysis of disease-associated and other functional variation in the human genome
UNIVERSITY OF CHICAGO
A postdoctoral scholar position is available in the research group of Dr. Xuanyao Liu at the University of Chicago. The Liu lab develops statistical methods to understand the genetic basis of complex traits. The exact projects for the scholars will be flexible, though based around trans gene regulation and complex traits, understanding genetic architectures of cis and trans- gene expression regulation, understanding trans-ethnic genetic architectures of gene expression and complex traits, and improving polygenic score portability. The scholar will be working closely with me, and my goal is to provide ample supervision and support for the scholar to be successful in academia and industry. The candidate will also benefit from training at a campus with reinforcing strengths in statistical genetics and human genetics. We maintain close interactions with groups focusing on statistical/computational problems in human genetics (e.g., Stephens, Novembre, Li, He, Imm, Abney and Dahl) and genetic studies of gene regulation (e.g., Gilad, Li). Suitable candidates may come from a wide variety of quantitative / data science backgrounds. Those with strong expertise in computational and statistical genetics will be preferred. The expected start date is negotiable, and the salary will be competitive and based on the level of experience. To apply please send a brief cover letter, curriculum vitae, and contact information for two references to xuanyao@uchicago.edu. Please see https://voices.uchicago.edu/liulab/members/ to learn more about the group.
Link:
https://voices.uchicago.edu/liulab/members/
Postdoctoral fellowship at Moffitt Cancer Center and Research Institute
Moffitt Center and NCBI
The laboratories of Drs. Kenneth Shain, Mehdi Damaghi and Ariosto Silva, at Moffitt Cancer Center and Research Institute (MCC), are seeking highly motivated candidates for postdoctoral training in the field of bioinformatics, computational biology, cancer genomics and evolutionary theory of cancer, to work on a cutting-edge, interdisciplinary, and cross-institutional research, focused on the co-evolution of cancer epi-genomes throughout tumor progression, with a particular emphasize on Multiple Myeloma (led by Dr. Shain) and Breast Cancer (led by Dr. Damaghi). The research involves a tight collaboration with the laboratory of Dr. Eugene Koonin at the National Center for Biotechnology Information (NCBI), such that the successful candidate will work with basic, translational and clinical scientists at Moffitt and NCBI, in a synergistic collaboration, and will hold a fellowship at the NIH/NLM/NCBI. Interested candidates should contact Drs. Kenneth Shain (ken.shain@moffitt.org), Mehdi Damaghi (Mehdi.Damaghi@moffitt.org), Erez Persi (erez.persi@nih.gov) and/or Ariosto Silva (ariosto.silva@moffitt.org).
Link:
None
