Postdoc in Deep Learning for Genomics
Cold Spring Harbor Laboratory
The Koo lab is hiring postdocs! Potential projects include but are not limited to 1) developing deep learning solutions to address cutting edge problems in cancer genomics, working closely with wet lab experimentalist at the CSHL Cancer Center; 2) advancing design principles for deep neural networks to improve their interpretability and robustness properties for regulatory genomics; 3) developing deep generative models for protein and RNA sequences. Candidates with prior knowledge of computational biology or a machine learning background with a strong interest in transitioning into (cancer) genomics are encouraged to apply. Check out http://koolab.cshl.edu for more info!
Link:
koolab.cshl.edu
Statistical Genomics Postdoc Position
The University of Texas MD Anderson Cancer Center
Two full-time postdoctoral fellow positions are available at Dr. Wenyi Wang’s lab, at the Department of Bioinformatics and Computational Biology at the MD Anderson Cancer Center (MDACC). Dr. Wang’s research laboratory aims to address clinically relevant questions in cancer biology and genetics using computational means through the development of statistical methods and analysis of genomic or other complex data. The current research programs focus on developing novel biomarkers for the risk stratification, treatment selection, and prognostication of cancers based on measures of intra-tumor and inter-tumor heterogeneity, using deconvolution models for bulk and single cell sequencing data. For further information, visit the lab website at https://odin.mdacc.tmc.edu/~wwang7/.
To apply, send a curriculum vitae, a research statement and three references titled “Postdoctoral application - Name” to wwang7@mdanderson.org.
Link:
https://odin.mdacc.tmc.edu/~wwang7
Postdoc in Bioinformatics and Computational Genomics
University of Minnesota
We are looking for a highly motivated candidate specializing in Bioinformatics to join the Computational Cancer Genomics lab of Dr. Rendong Yang. The goal of this position will be to lead multiple research projects, develop novel computational algorithm(s), perform data analysis, collaborate with biologists and physicians, and present/publish the results in scientific conferences/journals. The main focus is to explore the functional consequences of somatic alterations in cancer patients, to identify driver alterations, and to understand the genetic mechanisms of cancer progression and drug resistance by integrating multi-dimensional data from large-scale cancer studies such as The Cancer Genome Atlas (TCGA). Our work have been published (or in press) in high impact journal such as Nature, Nature Genetics, Nature Immunology, Nature Communications, Genome Medicine, Cancer Research, Bioinformatics. The postdocs in the lab are currently supported by prestigious Eagle Cancer Telethon fellowship
About the Hormel Institute
The Hormel Institute, a biomedical research center of the University of Minnesota, was established in 1942 and has an excellent reputation and long history for producing world-class medical research. The Institute’s research success has resulted in a second major expansion of its research facilities and includes an additional new state-of-the-art laboratory building that opened in January 2016. The Hormel Institute offers its research scientists complete access to state-of-the- art cutting edge equipment that includes a cryo-electron microscope (Titan Krios and Tecnai G2 Spirit Biotwin); FACS cell sorter; confocal microscopy; flow cytometry; protein crystallography robotics and defraction system; nano-HPLC-AB SCIEX triple TOF 5600 mass spectrometry; a Blue Gene/L and 3 racks of Linux GPU supercomputers for computational biology and bioinformatics; and spectrophotometers.
Postdoctoral position in computational genomics and metagenomics
Weill Cornell Medicine
Ideal candidates must have a Ph.D. in Computer Science, Computational Biology, Engineering or a related life sciences field with quantitative skills. Excellent computational (e.g. Algorithms, Machine Learning, Mathematics), programming (e.g. C/C++, Java or Python) and communication skills are required. Candidates with prior experience in biomolecular sequence analysis are highly desirable.
The candidate is expected to take leadership of some the exciting algorithmic research questions we are actively perusing to improve metagenome analysis using current (and future!) sequencing technologies. We are generating several research and clinical datasets at Weill Cornell, New York-presbyterian hospital and our hospital for special surgery. Please email your CV to "imh2003@med.cornell.edu" along with a brief description of your background and future interest. Use the subject "Postdoctoral Fellows in Computational Genomics -- Algorithm Development".
Link:
www.imanh.org
Postdoctoral fellow, bioinformatics, 3D genomics
Virginia Commonwealth university
A postdoctoral position is available immediately in the Department of Biostatistics at Virginia Commonwealth University. The main focus will be analysis and interpretation of the 3D structure of the human genome (Hi-C data) and the development of biostatistical methods and bioinformatics tools for 3D genomics. Numerous collaborative opportunities in cancer research are available. This is an excellent opportunity for someone who seeks a stimulating interdisciplinary work environment.
Required Qualifications
• Ph.D. in Bioinformatics, Biostatistics, Computer Science, or related field
• Working experience in bioinformatics analysis, integration, and interpretation of high-throughput sequencing data, including single-cell sequencing
• Proficiency in programming, data analysis and visualization using R/Bioconductor, familiarity with Linux command line and high-performance computing environments, version control with Git
• Must demonstrate strong personal initiative and the ability to work effectively as a part of a team
• A track record of publications in relevant peer-reviewed journals
• Fluent in English (oral and written)
Preferred Qualifications
• Experience with the application of supervised and unsupervised machine learning methods to genomics data; experience with deep learning frameworks (e.g., TensorFlow) is considered a plus
• Experience with at least one of Python/Jupyter, Matlab, C, Java is considered a plus
Link:
https://www.vcujobs.com/postings/98534
Postdoc positions on machine learning in brain genomics
University of Wisconsin Madison
Postdoc positions (NIH funded) are available immediately in the laboratory of Dr. Daifeng Wang (https://daifengwanglab.org/ ) at the University of Wisconsin – Madison. The positions will work on developing interpretable machine learning methods (e.g., multi-view learning, deep learning, representation learning) for analyzing multi-modal data, understanding functional genomics and improving phenotype prediction in the human brain and brain diseases. The selected candidates will work in an interdisciplinary environment and have a chance to collaborate with PIs from Waisman Center, UW-Madison and other top institutes.
The applicant should have a Ph.D. degree with background in computer science, bioinformatics, data science or related areas, and be skilled in programming (e.g., R, Python, Pytorch, Tensorflow). Prior experience on machine learning, software development is preferred. Prior background in neuroscience or genomics is a plus, but not required. Applicants are requested to send a CV and a list of 3 references to daifeng.wang@wisc.edu .
Link:
https://daifengwanglab.org/
PhD student position for modelling
University of Tübingen
Title of project: Siderophore Based Shaping of the Nasal Microbiome.
The project is about modelling syntrophic and obstructive interactions between bacteria that shape the composition of a polymicrobial community. We will focus on siderophores and their syntrophic interaction with other members in a microbial community. This project is a collaboration with two biological partners who will conduct the experiments. The project is part of the Cluster of Excellence on Controlling Microbes to Fight Infections.
Link:
https://uni-tuebingen.de/de/164662
Postdoctoral positions in systems and network biology
University of Wisconsin Madison
Two postdoctoral positions are available in computational biology with focus on gene regulation with single and bulk omics data. One position specifically focus on comparative analysis of regulatory networks across species.
Link:
https://roylab.discovery.wisc.edu/jobs/
Computational PostDoc Position in the Translational Cancer Medicine group
IRCC Candiolo
The Translational Cancer Medicine group at the Candiolo Cancer Institute (Turin, Italy) is looking for a computational biologist for a postdoctoral fellow position. The main focus of the lab is on creating, maintaining and characterizing a large collection of patient-derived colorectal cancer (CRC) tumourgrafts and organoids to deepen our knowledge of metastatic CRC, in terms of both
basic and translational research.
The candidate will join an interdisciplinary group that includes wet-lab biologists and a computational team and will be engaged in full-circle projects, from the experimental plan design to the purely computational steps.
Not only will the ideal candidate be able to perform computational analyses on the already collected data; they will also need to propose new experiments and explore different analytical solutions independently.
See the linked doc for a full description of available projects and more details.
Link:
https://drive.google.com/file/d/1_OvNBUHNIYb-Y0INfEgH7ln7Jh2npHYT/view
Postdoctoral position in Algorithmic Genomics
Heinrich Heine University Düsseldorf
We are looking for a talented, highly motivated postdoc with a strong background in bioinformatics, computational biology, genetics, quantitative biology or a related discipline to join the exciting project „Comprehensive and efficient identification of genomic differences from whole-genome alignments“ for 3 years. The successful applicant will join the Cluster of Excellence on Plant Sciences (CEPLAS) at the University of Düsseldorf in Germany.
Background
Genome sequences are key resources to understand functional processes and divergent trait evolution within and between different species. Within CEPLAS, many high-quality genome assemblies of closely related species of the Brassicaceae and other plant families are being generated. This makes it possible, in principle, to reveal intra-family similarities and structural variations from pairwise whole-genome alignments (WGA) as a major step towards family pangenome representations. However, even though efficient whole-genome alignment solutions exist there are no computational approaches that would annotate all genomic differences including the obvious hierarchy ranging from small single nucleotide changes to large complex rearrangements. The project will therefore extend SyRI, an existing algorithm for genome-wide structural rearrangement identification to solve this efficiently.
Qualifications needed: good algorithmic background, programming skills, knowledge in bioinformatics, Plus: experience with genomic data or plant genomics
Project leaders: Prof. Dr. Gunnar Klau (Heinrich Heine University Düsseldorf), Dr. Korbinian Schneeberger (Max Planck Institute for Plant Breeding Research Cologne)
Application process
Qualified candidates should submit their application (cover letter, curriculum vitae, contact info of two references, PhD certificate if already issued) as one singe PDF via e-mail to office@ceplas.de. For full consideration, please apply by September 1. However, the position is available until filled.
Link:
https://www.ceplas.eu/fileadmin/user_upload/News-2020/CEPLAS_Postdoc_Klau.pdf
Postdoc in medical informatics
Tel Aviv University
Ron Shamir's Computational Genomics lab at Tel Aviv University is inviting applications for postdoctoral positions in development of algorithms for clinical genomics and precision medicine.
We seek a highly creative, independent, strongly motivated researcher to join our lab (acgt.cs.tau.ac.il) at the School of Computer Science, Tel Aviv University. The group develops new computational methods for high throughput genomics, medical informatics and gene regulation.
The postdoc will work in collaboration with other group members on developing methods for analysis of medical and genomic data, using techniques from machine learning, optimization, graph algorithms and probability. Strong theoretical background, and ability and willingness to program are required.
Background in bioinformatics and biology is preferred but not essential.
Starting date: asap.
Please send your CV and have three reference letters sent directly to: gilit@tauex.tau.ac.il
Link:
http://acgt.cs.tau.ac.il/
Postdoctoral Researcher in Cancer Genomics/Epigenomics and Bioinformatics
Karolinska Institutet
We have a long interest in molecular diagnosis in cancer-based on longitudinal population cohort study design and advanced next-generation sequencing (NGS) technology with associated data algorithm. Our group has developed advanced technologies that have been adopted globally in both research and clinical settings for precision medicine.
We are seeking a highly motivated individual specialized in bioinformatics to join our team and work on cancer genomics/epigenomics projects. We are interested in studying genomic and epigenomic traces shed by solid tumors into the blood. Prospectively collected specimens from a large-scale population-based cohort with over 5-year follow-up have been stored in the biobank for further analyses.
The position will be based in the inspiring environment in Hong Kong Science Park, with opportunities to visit collaborator laboratories at Harvard Medical School and National Cancer Institute of NIH. The successful candidate will be responsible for leading the data analysis for these projects, including the development of data algorithms/pipelines and manuscript writing.
Specific requirements include: A PhD degree in computer science, bioinformatics, data science, or relevant fields; experience in cancer research involving large-scale NGS data analysis, with a proven record of publications; excellent command of written and spoken English is required; the ability of programming using C/C++ is preferred but not required.
Karolinska Institutet is one of the world’s leading medical universities. The Nobel Assembly at Karolinska Institutet selects the Nobel laureates in Physiology or Medicine.
If you are interested, contact us via weiwei.bian@ki.se(PhD student) or zongli.zheng@ki.se(assistant professor).
Link:
https://ki.varbi.com/en/what:job/jobID:328346/where:30/#.Xo_zfYBNXF8
PhD candidate position in the Genomic stability and Health group
University of Oslo
A funded 3-year PhD candidate position is available in the Genomic stability and Health group led by Hilde Loge Nilsen at the Department of Clinical Molecular Biology (EpiGen), Faculty of Medicine, University of Oslo, Norway. EpiGen is localised at the Akershus University Hospital campus.
Deadline: 24.06.2019
Link:
https://www.jobbnorge.no/en/available-jobs/job/187747/phd-candidate-position-in-the-genomic-stability-and-health-group
Clinical Bioinformatics Engineer; also hiring analysts in data science and bioinformatics
Novartis Institutes for Biomedical Research
1 purpose....to reimagine medicine! We are seeking a bioinformatics engineer to collaboratively develop software systems and pipelines for automated processing and analysis of next generation sequencing data. The successful candidate will work with software engineers, data scientists and project managers to advance Novartis’ efforts in oncology precision medicine.
Link:
https://www.novartis.com/careers/career-search/job-details/289898BR
Postdoctoral Researcher: Single-Cell Multi-Omic Integration
University of Michigan
Developing and applying algorithms and machine learning methods for single-cell genomics. Multi-omic integration of transcriptomic, epigenomic, and spatial measurements from single cells, with applications to stem cell biology, HIV, and the brain.
Link:
welch-lab.github.io
Job Offer – Search engine for genomic sequencing data
Inria
In the framework of the broader SeqDigger ANR project, we propose to design and propose new indexing schemes, scaling up very large DNA collection (assembled or not), and offering a way to query in real time input sequences of interest. The recruited PhD student will explore existing methods, mainly based on Bloom Filters, and will propose new algorithmic solutions.
Required skills
Candidates must have strong interest and expertise in algorithmics, data structures and C++ implementation.
Knowledge in genomics and biology will be highly appreciated but is not a prerequisite.
Practical information
The recruited PhD student will work in the GenScale team at Inria Rennes, France. She/he will work in close collaboration with the SeqDigger partners (Pasteur Institute Paris, CEA Genoscope, MIO) and external collaborators (EBI, Bielefeld University, …). Short stays at EBI, Cambridge, are expected.
Remuneration: net salary approx 1600€ per month.
Starting date is flexible. PhD could start as early as possible.
Informal enquiries are encouraged. Please contact pierre.peterlongo@inria.fr
Applicants should send a full CV, a cover letter explaining their motivation, experience, and achievements, at least 2 references with contact information, and their date of availability.
Link:
https://www.cesgo.org/seqdigger/job-offer-search-engine-for-genomic-sequencing-data/
Postdoctoral Fellow - Algorithms in Nature
Cold Spring Harbor Laboratory
Two computational postdoctoral positions are available immediately at Cold Spring Harbor Laboratory (CSHL) in the lab of Saket Navlakha ( http://navlakhalab.net/ ).
Why work at CSHL?
* Work on picturesque Long Island steps away from the ocean. Eat lunch at the beach.
* Competitive salary and comprehensive benefits program, including medical and dental insurance.
* On-site, affordable, and licensed childcare center.
* One hour from New York City.
* World-renown biomedical research institute ranked #1 in research output worldwide by Nature.
* Warm, collegial, and collaborative work environment.
* Has been home to eight Nobel Prize winners in Physiology or Medicine.
* Unprecedented access to experts in nearly every biomedical field thanks to the Meetings and Courses program.
Position details
* Work at the interface of theoretical computer science, machine learning, and systems biology.
* Develop bleeding edge machine learning algorithms to answer fundamental questions about biology and disease.
* Discover new ideas for computation by studying problem-solving strategies used in nature (“algorithms in nature”).
* Recent lab successes have been in neural circuit computation and plant architecture optimization, but suggestions for new areas of interest (e.g. cancer) are also welcome.
* Ample opportunities to publish in high tier journals (PI has recent publications in Science and PNAS).
Preferred Qualifications
* Strong publication track record. A first author publication in a high impact factor (>4-5) journal or a paper presented at a top conference.
* Computer science PhD.
* Machine learning experience.
Link:
https://navlakhalab.net/
Postdoc at the Systems Biology Group at CMU
School of Computer Science, Carnegie Mellon University
The Systems Biology Group at the Computational Biology and Machine Learning Departments in the School of Computer Science at Carnegie Mellon is looking for new postdocs. We have openings in a number of exciting research projects in which we aim to develop novel machine learning methods to analyze, model and integrate high throughput genomics, proteomics and imaging data. One of our projects is focused on extending continuous states HMMs for the analysis of SARS-COV-2 infection in lung cells. For this project we are working closely with a number of leading experimental groups that generate the data we use for the modeling and test predictions made by our models. Another project we are involved with is the NIH HuBMAP which is focused on reconstructing a 3D map of the human body at the cellular and molecular levels. HuBMAP centers are generating a very large cross organ datasets which includes several different data types (scRNA-Seq, acATAC-seq, spatial transcriptomics and spatial proteomics, to name a few). Our team is focused on the development and implementation of methods for the processing and integration of genomics and imaging data for HuBMAP.
Postdocs joining our group may also be considered for the Lane Fellowship in the department of Computational Biology.
Qualifications
- PhD in Computational Biology, Bioinformatics, Computer Science, Machine Learning or related area
- Experience in the analysis and modeling of high throughput genomics and / or biological imaging data is required
- Publications (including first author publications) in leading computational biology conferences and / or in leading computational biology, bioinformatics, genomics, or multi-disciplinary journals.
Link:
http://www.sb.cs.cmu.edu/
Postdoc positions in bioinformatics
University of North Texas Health Science Center
We seek talented junior researchers to join our fast-growing team and expand our research fields.
· Solid funding support
· Track to promote junior researchers to faculty
The Center for Human Identification at the Univ of North Texas Health Science Center is globally recognized as a leader in forensic genomics. With solid funding support from the State of Texas and various Federal Government agencies, UNTCHI is a resource for international and national legal systems, provides forensic genetic and anthropological examinations for criminal casework and missing persons identification, and develops and manages of the National Missing and Unidentified Persons System for the US Department of Justice.
As the center is growing and expanding to genomics and associated omics research, we are actively seeking talented postdoctoral fellows, who are interested in bioinformatics, genomics, multi-omics and related fields. The postdoctoral fellows may work on current on-going projects and also are encouraged to explore new research projects/fields. The details of the research unit of UNTCHI could be found at https://www.unthsc.edu/graduate-school-of-biomedical-sciences/laboratory-faculty-and-staff/.
The applicants should have a Ph.D. or equivalent in bioinformatics, computational sciences, statistics, mathematics or other relevant fields. Candidates holding a degree in genomics/medical science/chemistry/life sciences are also welcome to apply if they have an extensive background in computational or statistical work.
Applicants with a background in human genomics, pharmacogenomics, microbial genomics, or human disease research will be preferentially considered.
Please submit your resume, contacts of three references, and a brief statement of past research accomplishments and future research interests to https://jobs.untsystem.edu/postings/36790
Please contact Jianye.Ge@unthsc.edu for any questions
Post doc - single cell @ Moffitt Cancer Center
Moffitt Cancer Center
Computational algorithm and tool development for analyzing single cell data
Link:
http://lab.moffitt.org/chen
Postdoc in Topological Data Analysis and Machine Learning
Michigan State University
We are seeking an individual passionate about applying Topological Data Analysis (TDA; a mathematical method that measures shape) and Machine Learning (ML) to study the molecular basis of plant morphology.
You will get to dig into plenty of cool data – 3D X-ray computed tomography and time-course gene expression profiles – and be a pioneer in applying state-of-the-art data science techniques and mathematical approaches to the analysis and predictive modeling of complex biological processes.
The project is based at Michigan State University between the Montgomery, Chitwood, Munch, and Krishnan Labs, in collab. w/ the Husbands Lab (Ohio State Univ.). You will get to work with all five PIs, who offer complementary scientific expertise, and have strong track records in mentoring and career development.
Plus, we are fully geared for an effective remote/virtual postdoctoral experience!
Link:
https://www.thekrishnanlab.org/join-us
PhD or Postdoc in Computational Genomics and Statistical Machine Learning
University of Massachusetts Amherst
We are looking for PhD or postdoc candidates to join the laboratory of Dr. Zhengqing Ouyang in the Department of Biostatistics & Epidemiology at UMass Amherst. Our lab strives to advance the frontiers of computational genomics. The current focus is to develop novel statistical machine learning methods for the following areas:
1. Higher-order structures of genomes and RNAomes;
2. Spatial and temporal structures of single cellomes; and
3. Data integration and modeling of multi-omics data.
The candidates will work on specific projects adapted to their research interests and will have access to large-scale first-hand datasets from our collaborators. Work by our lab members have been published or accepted in prestigious journals or conferences such as Nature Biotechnology, Nature Methods, Nucleic Acids Research, Genome Biology, PLoS Computational Biology, JEM, PSB, and RECOMB, etc.
About UMass Amherst
UMass Amherst is the flagship campus of the University of Massachusetts system, sits on nearly 1,450 acres in the scenic Pioneer Valley, 90 miles from Boston and 165 miles from New York City. The campus is one of the major research universities, and consistently ranked among the top public research universities in the US.
Link:
https://people.umass.edu/ouyanglab/
PhD student position in genome data science
Universität Bielefeld
We are currently seeking a highly motivated PhD student to join our group. By rank, the position is classified as a German Scientific Assistant, with salaries being determined based on prior experience and qualifications (‘E13-TVL’). Working language is English or German, depending on personal preference.
The corresponding research activities will relate to topics from areas such as “Artificial Intelligence in Biomedicine / Computational Personalized Medicine / Algorithmic Bioinformatics / Computational (Single Cell / Pan-) Genomics”. Particular examples of potential research are:
● Deep Learning for understanding / diagnosis / therapy selection of so far insufficiently understood diseases, such as cancer, amyotrophic lateral sclerosis, and further neuropathological disorders, in particular when relating to the microbiome.
● The creation and implementation of programming frameworks that support the analysis of the genetic diversity of diseases
● The evaluation of single cell genomics experiments, as a precision tool to support the fine-grained understanding of cancer heterogeneity and cancer in general, and developmental processes that, for example, characterize the shaping of the immune system, possibly in interaction with the two points from above.
● The creation and analysis of novel algorithmic/mathematical structures and indexes that support the mapping of the genetic diversity of entire populations (“Computational Pan-Genomics”)
The position will be soon announced on https://www.uni-bielefeld.de/Universitaet/Aktuelles/Stellenausschreibungen/auswiss_2013.html
Link:
https://www.uni-bielefeld.de/Universitaet/Aktuelles/Stellenausschreibungen/auswiss_2013.html
PhD student position on genome analysis at Univ of Texas at Arlington
Univ of Texas at Arlington
A PhD student position on genome analysis is open in the Xu Lab at the Univ of Texas at Arlington. The research direction is largely focused on large-scale population genomic analysis of the consequences of hybridization in natural populations. We are also interested in developing methods to infer recombination rate from population genomic data. Informal inquiries are welcome!
Link:
http://blog.uta.edu/xus
Postdoctoral Fellow
Memorial Sloan Kettering Cancer Center
Postdoctoral Fellow, Medical Physics/Biostatistics
Memorial Sloan Kettering Cancer Center
Memorial Sloan Kettering Cancer Center (MSK) is one of the world’s premier cancer centers, committed to exceptional patient care, leading-edge research, and superb educational programs. The blending of research with patient care is at the heart of everything we do. The institution is a comprehensive cancer center whose purposes are the treatment and control of cancer, the advancement of biomedical knowledge through laboratory and clinical research, and the training of scientists, physicians and other health care workers.
We are seeking a highly motivated candidate, interested in biostatistics and bioinformatics, for a position as a postdoctoral fellow. This position will focus on machine learning-based modeling of outcomes on genome-wide association studies (GWAS) that include radiation and genetics (e.g., the Women's Environmental Cancer and Radiation Epidemiology (WECARE) Study and REQUITE Study).
The ideal candidate should have:
· PhD degree in bioinformatics, computer science, biostatistics, statistics, physics or a related field
· Experience in predictive modeling using machine learning techniques
· Experience in analyzing large data sets, be proficient in at least one of the statistical programming languages R/Matlab/Python and have experience working on Unix/Linux systems and basic shell scripting
Experience in GWAS data analysis would be advantageous, but is not necessary.
Please send CV, a letter outlining your interest and names/contact information of three references via email to:
Jung Hun Oh, PhD
Assistant Attending, Department of Medical Physics
ohj@mskcc.org
Link:
None
Senior Software Engineer / Bioinformatics, Oncology Data Science Team
Novartis Institutes for Biomedical Research
750 million. That's how many lives our products touch! NIBR Oncology is seeking an experienced software engineer with domain knowledge in bioinformatics to help develop applications to marshal, transform and visualize complex data sets from the pre-clinical and clinical research space, including phenotypic, genotypic and other biological markers. While exciting, this sometimes presents a challenge—and we want you to help! Specifically, in this hands-on role, you will collaboratively architect and design new software solutions that accelerate the work of our data scientists. You will also lead or contribute to efforts to enhance and improve existing systems. You will work within a larger Engineering team following Agile practices and collaborate closely with end-users to deliver the most impactful solutions possible. You should have a strong software engineering background and an understanding of the scientific domain.
Job Responsibilities:
•Extend and enhance current web-based visualization and analytics tools for future use
•Design and architect new solutions to enable data visualization, analysis and reporting to support data scientists
•Research and recommend innovative new technologies, methods and systems to process, store and visualize data
•Contribute to a culture of strong engineering practices in a globally distributed, cross-site team
•Collaborate and interact with scientists and stakeholders to understand the problem domain and identify opportunities to accelerate their work
Apply online here:
https://www.novartis.com/careers/career-search/job-details/297542BR
(Also this role:Clinical Bioinformatics Engineer)
https://www.novartis.com/careers/career-search/job-details/289898BR
Link:
https://www.novartis.com/careers/career-search/job-details/297542BR
PhD or PostDoc in Computational Biology (Switzerland)
University of Lausanne
We are looking for candidates for both a PhD and PostDoc position in the Computational Biology Group (CBG) at the University of Lausanne. The group, headed by Prof. Sven Bergmann, develops and applies methods for the integrative analysis of large-scale biological and clinical data. It is part of the Department of Computational Biology (DBC), currently hosting nine research groups, and also affiliated with the Swiss Institute of Bioinformatics (SIB).
Link:
https://www2.unil.ch/cbg/index.php?title=Positions
Research Technician Bioinformatics – Next Generation Sequencing
Rijk Zwaan Breeding
As Research Technician Bioinformatics within the biotechnology research facility of Rijk Zwaan, you will join the bioinformatics team and fulfill an essential role by applying various bioinformatics analyses and developing analyses pipelines to answer research questions at Next Generation Sequencing.
You will be working with Next Generation Sequencing (NGS) data (third generation) and set up analyses and data processing pipelines to support the new applications of NGS within Rijk Zwaan. In close collaboration with bioinformatics group members as well as with researchers of the NGS team at molecular biology, you will develop prototype analysis platforms for use by other experts. At a later stage you provide input for the transfer of these prototypes to production versions that can be used by non-expert users. Additionally, you are responsible for:
Executing bioinformatics analysis
Contributing to the development and implementation of new bioinformatics tools and pipelines to facilitate and further expand genomics research at Rijk Zwaan, together with your colleagues
Your contribution:
You are an enthusiastic, outgoing team player who looks for solutions and you are not afraid to explore new challenges. You enjoy to work in multidisciplinary projects and are capable of working on several projects in parallel, while upholding high standards. You have a positive attitude with a constant thrive to improve. In addition, we can find the following on your resume:
- A bachelor degree with at least 2 years of work experience or a master degree in computer science/Bioinformatics/Computational biology
- Hands on experience with analyzing NGS data and downstream processing (genome assembly, RNAseq data analysis)
- Advanced skills in at least one programming language such as Python, Java, R
- Experience in bioinformatics pipeline development
- Knowledge of plant biology and/or plant breeding
Link:
https://www.rijkzwaancareers.com/en/vacancy/research-technician-bioinformatics-next-generation-sequencing
Technician Bioinformatics
Rijk Zwaan Breeding
In the biotechnology research facility of Rijk Zwaan, you will join the bioinformatics team. Within this team you will apply various bioinformatics analyses to contribute to answers for different research questions within Rijk Zwaan. In these multidisciplinary projects, you will be responsible for analyzing and combining various ~omics data. Together with other bioinformatics colleagues, you are responsible for running and maintaining various existing bioinformatics analyses pipelines. Beside this you will work on:
Maintaining in-house databases and update them regularly
Execution of different analyses simultaneously to solve complex biological problem
Development and implementation of new bioinformatics tools and pipelines to facilitate and further expand genomics research at Rijk Zwaan
Your contribution:
You are an enthusiastic team player with a ‘can do’ mentality and constant drive to improve. Your analytical skills are strong and you are really passionate about data. Besides this, you are capable of working on several projects in parallel, while upholding high standards. In addition, your CV ticks the following boxes:
A Bachelor degree in Bioinformatics/Computational biology or similar
Experience with next generation sequence (NGS), Bioinformatics analyses and use of public databases
Experience in at least one programming language, such as Python, Java, R
Link:
https://www.rijkzwaancareers.com/en/vacancy/technician-bioinformatics
Scientific programmer
Rijk Zwaan Breeding
In the biotechnology research facility of Rijk Zwaan, you will join the bioinformatics team to design and develop new tools/pipelines for various bioinformatics applications. In close consultation with researchers and technicians, you will prototype new software/pipelines and implement them into stable (company-wide) solutions. In these projects, you will work in close collaboration with IT teams at Rijk Zwaan. You independently scout for new (open source) tools, introduce them to the bioinformatics team and test them on usability. You will be the main person involved in converting research level code to production level code that will lead to stable company wide data analyses solutions. In addition, you play a supportive role in answering biological questions by deploying available bioinformatics solutions for the team and other Rijk Zwaan researchers. In parallel, you take lead in setting up integrative resource platforms for comparative genomics applications. In this way, the position will offer you versatile challenges in a research environment and the opportunity to participate directly in the innovation process.
Your CV ticks the following boxes:
- A master degree in computer science/Bioinformatics/Computational biology with a strong computational/software background
- Expert in at least one programming language and comfortable with few more languages (e.g. Python, Java, R, C++, Unix/Shell scripting)
- Proven track record in research software development and knowledge in open source tools in genomic field is an advantage
- Proven track record of developing and deploying bioinformatics or other software tools
What can you expect from us?
- A permanent contract from the start
- Various training courses and opportunities through our very own Rijk Zwaan Academy
- The freedom to take the initiative and work on your own development
Link:
https://www.rijkzwaancareers.com
Postdoc in computational evolution or phylogenomics
University of Lausanne and Swiss Institute of Bioinformatics
There is an open position in my lab (https://lab.dessimoz.org), based in Lausanne, Switzerland. Please get in touch with me asap for an informal discussion
Link:
https://lab.dessimoz.org
Postdoc in Computational Pan-Genomics
Universität Bielefeld
We are currently seeking a highly motivated post-doctoral researcher to join our group. By rank, the position is classified as a German Scientific Assistant, with salaries being determined based on prior experience and qualifications (‘E13-TVL’). Working language is English or German, depending on personal preference.
The corresponding research activities will relate to the field of Computational Pan-Genomics. Particular examples of potential research are:
● The creation and analysis of novel algorithmic/mathematical structures and indexes that support the mapping of the genetic diversity of entire populations
● The creation and implementation of programming frameworks that support the analysis of the genetic diversity of diseases
● The development and design of pan-genome representations for deep learning analysis
● The construction of deep network architectures to derive predictions from those representations
The exact choice of topic can be determined in personal discussions, according to personal preferences and strengths.
Research activities will cover 75% of work time, assistance and guidance of teaching activities 20%, and participation in academic management 5%.
The position will be soon announced on https://www.uni-bielefeld.de/Universitaet/Aktuelles/Stellenausschreibungen/auswiss_2013.html
Link:
https://www.uni-bielefeld.de/Universitaet/Aktuelles/Stellenausschreibungen/auswiss_2013.html
Bioinformatics Engineer (6 month temporary position, remote)
Simons Foundation
POSITION SUMMARY
The Simons Foundation in New York City is seeking a Bioinformatics Engineer to develop and support whole exome and genome sequence data analysis pipelines in both research and operational modalities. This position will report to the Director of Data and Analytics in the informatics group and will work with other engineers and analysts in the informatics group, as well as with clinical and basic research teams at the foundation.
*This position will be a 6 month temporary position*
*This position will also be remote*
Please, see all details on required skills and apply on
https://simonsfoundation.wd1.myworkdayjobs.com/en-US/simonsfoundationcareers/job/160-Fifth-Avenue/Temporary-Bioinformatics-Engineer_R0000668
Link:
https://simonsfoundation.wd1.myworkdayjobs.com/en-US/simonsfoundationcareers/job/160-Fifth-Avenue/Temporary-Bioinformatics-Engineer_R0000668
Bioinformatics Scientists and Computational Biologists
Encoded Therapeutics
Encoded Therapeutics is a young biotech company funded by world-class healthcare investors Venrock, Arch Venture Partners, Illumina Ventures, and Matrix Capital Management. At Encoded, we are combining the precision of gene regulation with the versatility of gene therapies.
We are looking for a talented Bioinformatics scientist and a Genomic Data Scientist to help in the development of a diverse therapeutic pipeline driven by a transformative core technology. This is a unique opportunity to work at the intersection of genomics and computing to significantly impact lives of people affected with severe debilitating diseases.
Link:
https://encoded.com/
Research Assistant Professor of Bioinformatics
UT Health Science Center at Houston – Houston, TX
The Center for Precision Health (CPH) at the School of Biomedical Informatics (SBMI), University of Texas Health Science Center at Houston (UTHealth), a leading academic health center, seeks an exceptional candidate for a non-tenure track position at the assistant professor level in the areas of precision medicine and bioinformatics.
UTHealth is in the world-renowned Texas Medical Center (TMC), located in cosmopolitan Houston, Texas, the fourth largest city in the United States. SBMI currently offers PhD and Master's degrees; it also features certificate programs in biomedical and health informatics.
RESPONSIBILITIES: The successful candidate will be expected to plan, supervise, and direct research in bioinformatics, genetic and genomic medicine, and related areas within the CPH. The candidate will provide technical expertise to lead in the development of study design, sample or data collection, pipeline development, data analysis, results interpretation, manuscript writing, and grant proposal preparation. Collaborative research with other faculty in the Center for Precision Health, at SBMI, and across UTHealth and the Texas Medical Center (e.g., MD Anderson Cancer Center and Baylor College of Medicine, etc.) is also strongly encouraged. This position provides opportunities to supervise postdoctoral fellows and lead projects or team research initiatives, as well as develop grant applications.
QUALIFICATIONS: The candidate should possess a doctoral degree in one of the following areas: bioinformatics, genomics, genetics, computational biology, biomedical informatics, bioengineering, medicine, biostatistics, or a related discipline. A record of verifiable and published research in bioinformatics, genetics, or genomics is required; the potential to obtain extramural funding is strongly preferred. Excellent teamwork and communication skills are required.
Faculty Associate, Biomedical Informatics
UT Health Science Center at Houston – Houston, TX
Job Description
The University of Texas Health Science Center at Houston (UTHealth) School of Biomedical Informatics (SBMI) has a non-tenure Faculty Associate position in its Center for Precision Health (CPH).
POSITION KEY ACCOUNTABILITIES:
The successful candidate will be expected to plan, supervise, and direct research in bioinformatics, genomic medicine, and related areas within the CPH. The candidate will participate or lead in the development of study design, sample or data collection, pipeline development, data analysis, results implementation, manuscript writing, and grant proposal preparation. Collaborative research with other faculty in the CPH, SBMI, and across UTHealth and the Texas Medical Center (e.g., MD Anderson Cancer Center and Baylor College of Medicine) is also encouraged. This position provides opportunities to supervise post-doctoral fellows and lead projects or team research initiatives.
QUALIFICATIONS:
The individual should possess a doctoral degree in one of the following areas: bioinformatics, genomics, genetics, computational biology, biomedical informatics, computer science, engineering, medicine, biostatistics, or related disciplines. A record of verifiable, published research in bioinformatics and genomics and the potential to obtain extramural funding are preferred. Excellent teamwork and communication skills are required.
HOW TO APPLY:
Send the following documents to Zhongming.Zhao@uth.tmc.edu.
:a current curriculum vitae, a research statement, contact information for three references, and a cover letter describing qualifications and career goals.
Post-Doctoral Research Fellow - Bioinformatics/Cancer Data Science (T32 - iCADS)
H. Lee Moffitt Cancer Center & Research Institute
The Department of Biostatistics and Bioinformatics at the H. Lee Moffitt Cancer Center is seeking a highly motivated, independent, and collaborative postdoctoral research fellow interested in conducting exciting inter-disciplinary research. The Department currently has 18 faculty, 4 postdoctoral research fellows and approximately 25 staff engaged in a wide range of statistical and bioinformatics research and collaborations, including but not limited to, novel therapeutic and drug discoveries, prognostic and predictive biomarker developments, high throughput genomics, proteomics, next-generation sequencing data-based investigations, epidemiological studies, clinical trial designs, and personalized medicine studies. The post-doctoral research fellow will collaborate with faculty members within the department on statistical genomics and bioinformatics methodology projects, along with, collaboration on collaborative cancer research projects. Supervision and mentorship of the post-doctoral research fellow will be under the direction of Dr. Brooke Fridley, Department Chair. To learn more, visit
https://moffitt.org/iCADS .
REQUIREMENTS
Successful applicants will have a Ph.D. in statistics, biostatistics,
bioinformatics or related field.
Applicants are to be U.S. Citizens or U.S. Legal Permanent Residents
for this opportunity.
To apply, visit Moffitt.org/Careers_Biostats Postdoc. Interested
applicants should attach to the application a single PDF file that
includes a current CV with recent publications, a personal statement
of scientific interests and goals (2-page maximum), and contact
information for three references. For questions, please reach out to
Dr. Brooke Fridley at Brooke.Fridley@Moffitt.org.
Link:
https://moffitt.org/iCADS
Post-Doctoral Research Fellow - Bioinformatics/Cancer Data Science
H. Lee Moffitt Cancer Center & Research Institute
Now hiring a Postdoc Fellow in the Translational Bioinformatics and Cancer Systems Biology Laboratory of Dr. Aik Choon Tan (http://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 exciting cancer genomic projects. The research fellow will develop computational and statistical algorithms for the analysis and interpretation of cancer genomic datasets using next generation sequencing technology, 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.
Interested applicants should attach send a PDF that includes a current CV with recent publications, a personal statement of scientific interests and goals (2-page maximum), and contact information for three references to Dr. Aik Choon Tan at aikchoon.tan@moffitt.org.
Link:
http://tanlab.org
Postdoctoral Fellow in Bioinformatics Deep Learning
UTHealth Science Center at Houston
Postdoctoral positions are available in Dr. Zhongming Zhao's Bioinformatics and Systems Medicine Laboratory (BSML,www.uth.edu/bioinfo/), Center for Precision Health, School of Biomedical Informatics, University of Texas Health Science at Houston (UTHealth). The successful candidate is expected to join an established bioinformatics team. The ongoing projects in BSML focus on precision medicine, functional roles of genetic variants in complex disease, next-generation sequencing and single cell RNA sequencing method development and data analyses, deep learning, and regulatory networks. Integrative genomics and deep learning approaches are often applied. Funding (NIH grants, CPRIT, and lab/center startup) is available to support this position for 3+ years and promotion to faculty positions is possible. The candidate will have the opportunity to access many high throughput datasets and interact with investigators across UTHealth and Texas Medical Center. The lab is highly productive (>300 papers since 2009) and has an excellent post-doctoral training track record (e.g. 23 former postdocs are currently faculty members, two received Young Investigator Awards from national foundations, two received CPRIT Scholar faculty recruitment, and three were finalists for the Vanderbilt University Postdoc of the Year Award). Recent publications appeared in journals such as Nature, Nature Medicine, Nature Neurosciences, Nature Communications, Cancer Discovery, Genome Research, Genome Biology, Cancer Research, Oncogene, etc.
Faculty Associate--Bioinformatics and Deep Learning
UTHealth Science Center at Houston
The University of Texas Health Science Center at Houston (UTHealth) School of Biomedical Informatics (SBMI) has a non-tenure Faculty Associate position in its Center for Precision Health (CPH).
POSITION KEY ACCOUNTABILITIES:
The successful candidate will be expected to plan, supervise, and direct research in bioinformatics, genomic medicine, and related areas within the CPH. The candidate will participate or lead in the development of study design, sample or data collection, pipeline development, data analysis, results implementation, manuscript writing, and grant proposal preparation. Collaborative research with other faculty in the CPH, SBMI, and across UTHealth and the Texas Medical Center (e.g., MD Anderson Cancer Center and Baylor College of Medicine) is also encouraged. This position provides opportunities to supervise post-doctoral fellows and lead projects or team research initiatives.
QUALIFICATIONS:
The individual should possess a doctoral degree in one of the following areas: bioinformatics, genomics, genetics, computational biology, biomedical informatics, computer science, engineering, medicine, biostatistics, or related disciplines. A record of verifiable, published research in bioinformatics and genomics and the potential to obtain extramural funding are preferred. Excellent teamwork and communication skills are required.
PhD student in Computer Science (Computational Biology)
Arizona State University
A PhD student position (funded) on computational genomics/immunology is open in my group at Arizona State University (Biodesign Institute and School of Computing, Informatics, and Decision Systems Engineering).
We are interested developing computational methods for detecting genetic variations found in immunological loci, utilizing algorithmic and machine learning approaches.
Interested prospective students should email. Thank you.
PhD student in Computer Science (Computational Genomics/Immunology)
Arizona State University
A PhD student position (funded) on computational genomics/immunology is open in my group at Arizona State University (Biodesign Institute and School of Computing, Informatics, and Decision Systems Engineering).
We are interested developing computational methods for detecting genetic variations found in immunological loci, utilizing algorithmic and machine learning approaches.
Interested prospective students should email. Thank you.
Postdoc: genomic of pollinator health
Queen Mary university of london
Hello,
We have a bioinformatics-focused postdoc opening up. Applying pop gen, comparative genomics or transcriptomic approaches to understand and improve health of pollinators. Following some of the ideas in here: http://dx.doi.org/10.1016/j.tree.2019.12.012
It’s not yet officially advertised (covid); please get in touch if interested.
Link:
http://wurmlab.com
postdoc in structural bioinformatics
Purdue University
One postdoctoral position in the area of structural bioinformatics is available immediately in Professor Kihara group at Department of Biological Sciences/Computer Science at Purdue University.
The primary areas sought are protein structure modeling for cryo-EM maps, protein-protein docking prediction using novel ideas including application of deep learning. Experience in coding for protein structure prediction/modeling program is large plus.
The group is highly interdisciplinary. Taking advantage of the PIs joint appointment between Dept. of Biological Sciences and Computer Science, the group holds students and postdocs with biology background, computer science background, and other areas such as statistics.
Purdue University has one of the largest international student populations in the US universities. The highly international and safe city will provide comfortable academic life for domestic and international researchers. The university has strong collaborative atmosphere and the PI group has several collaborations with groups in different departments across the campus.
Qualified candidates should hold a PhD in Physics, Computer Science, Biology, Chemistry, Engineering, or in a related field.
Link:
http://kiharalab.org
Post-doc, Computational Epigenomics
Moffitt Cancer Center
Dr. Mingxiang Teng's group is looking for a talented post-doctoral fellow in the area of Computational Epigenomics at Moffitt Cancer Center in Tampa, Florida. This position will be focusing on methodology/tool development using epigenomic sequencing data to tackle gene regulation questions under cancer settings. If you are interested, please do not hesitate to send us your CV.
Our lab is a growing group with fresh ideas to address data challenges and biological questions in functional genomics. For more information, please refer to our home page (https://tengmx.github.io/pages/research.html). In addition, we have a highly collaborative research environment at Moffitt Cancer Center. This position will have opportunity to closely interact with our biological/clinical collaborators if interested.
Link:
https://tengmx.github.io/
Computational Biologist
Ocean Genomics
We are seeking a self-driven and passionate computational biologist with experience in genomics and gene expression to drive the development of data analyses for a new web platform for gene expression analyses and to interface with customers to help solve interesting data analysis challenges.
Link:
https://oceangenomics.com/jobs-2020-compbio-1/
Postdoctoral Fellow in Bioinformatics Genomics
Computational Health Informatics Program at Boston Children's Hospital
A postdoctoral fellow position is available at 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). We seek to improve current clinical practices by providing expertise and insight from largescale and multidimensional analysis of multiomics datasets from patients with neurodevelopmental and other disorders. The position is available for a highly motivated and skilled individual with expertise in
nextgeneration sequencing (NGS) analysis to work at the forefront of the neurodevelopmental and genomics research. The full description is available at https://tom.tch.harvard.edu/jobs/PostdoctoralFellow_BioinformaticsGenomics.pdf
Link:
https://tom.tch.harvard.edu/jobs/PostdoctoralFellow_BioinformaticsGenomics.pdf
Postdoctoral Fellow in Biostatistics
Computational Health Informatics Program at Boston Children's Hospital
A postdoctoral fellow position is available at 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). The group seeks to improve current clinical practices by providing expertise and insight from largescale and multidimensional analysis in datasets from patients with neurodevelopmental conditions and other disorders. The position is available for a highly motivated and skilled individual with expertise in developing new statistical methods to provide insights from diverse multidimensional datasets in different frameworks, involving wholegenome sequencing (WGS), population genetics, and/or exposomics.
Link:
https://tom.tch.harvard.edu/jobs/PostdoctoralFellow_BiostatisticsAnalyst.pdf
PhD students in bioinformatics Georgia State
Georgia State University
The Computer Science department at Georgia State University is looking for strong PhD candidates to join its exciting Next Generation program in the Bioinformatics cluster. The candidate would work under the supervision of Dr. Murray Patterson, however there will be ample opportunity to collaborate with other faculty, labs and industry.
The ideal candidate should have some background in:
- data analysis, interpretation and visualization
- mathematical modeling
- C/C++, Python, or other modern programming languages
- some familiarity with the unix/linux environment
Candidates with a BSc. or MSc. in computer science, mathematics or similar disciplines will be considered. Knowledge of biology/bioinformatics is not a must, but is a plus. Candidates from biology or chemistry with a strong computational component will also be considered. The planned start date is September 2020 (fall semester), or January 2021 (spring semester) at the latest.
Interested applicants should compose a single PDF file containing the following:
- a cover/motivation letter
- CV
- (unofficial) transcripts of your grades
- the contact details of 2-3 professional references
Please send this PDF in an email to mpatterson@cs.gsu.edu with the subject line "PhD application GSU"
The Department of Computer Science has a current enrollment of about 75 graduate students, and is active in research areas including bioinformatics, graphics and visualization, networks and distributed systems, and algorithms. The department emphasizes interdisciplinary research: it runs its own bioinformatics program, and participates in Georgia State's Molecular Basis of Disease and Brains and Behavior programs. U.S. News and World Report ranks Georgia State as #2 in Most Innovative Schools, nationally. Georgia State University is located in the vibrant and multicultural Atlanta, a city which is quickly becoming a major technology hub in the country.
Link:
https://www.murraypatterson.net
postdoctoral research fellow
NCBI, NIH
AlgoCSB group (PI, Teresa Przytyck) is inviting applications for a Postdoctoral Research Fellow position. Candidates with a PhD in computer science, computational biology/bioinformatics or a related discipline and no more than 5 years of prior postdoctoral training will be considered. Excellent programming, algorithms development, and data analysis skills are necessary. Hands-on knowledge of statistical tools and biological databases is desirable. This position is supported by the Intramural NIH Research Program and includes stable funding, excellent benefits and compensation. NIH is an Equal Opportunity Employer and encourages applications from women and minorities. If interested, please email your CV to Teresa Przytycka at przytyck@ncbi.nlm.nih.gov.
Link:
https://www.ncbi.nlm.nih.gov/CBBresearch/Przytycka/index.cgi#research
PhD position
University of York
This position is part of a NERC-funded climate change doctoral training programme at the University of York. The project will explore how dense plant communities can produce microclimates that are resilient to heat waves, and how genetic pathways influence the developmental decisions of individual plants in a way that influences the resilience of the entire plant community. It is primarily a data science and modelling project.
Link:
findaphd.com/phds/project/analysing-emergent-resilience-to-heatwaves-by-dense-plant-communities/?p124662
