The official conference app for RECOMB 2019 Main and Satellite Conferences

<< See 48141 More Jobs Posted in Whova Events

Jobs Posted on the Whova Community Board of RECOMB 2019 Main and Satellite Conferences

If you know anyone in the job market, feel free to share with them

Postdoc Fellow of Cancer Data Science
National Cancer Institute, NIH
Postdoctoral researcher positions of Bioinformatics and Cancer Data Science are available in the laboratory of Peng Jiang at the National Cancer Institute (NCI), National Institutes of Health (NIH). The overarching goal of Jiang Lab is to understand the process of cancer immune evasion and therapy resistance through computational and data-driven approaches. The candidate will develop statistical and machine learning solutions to advance our ability to treat cancer patients.

Applicants should have a Ph.D. in computational sciences with high proficiency in bioinformatics, statistics, and machine learning. Candidates with a background in cancer genomics, immunology research, and imaging analysis will be preferentially considered. Please send a cover letter with past research accomplishments and future research interests, a CV with a publication list, and the contact information of three references to: pengj@alumni.princeton.edu

The Jiang Lab is part of the NCI Cancer Data Science Laboratory, a new initiative dedicated to translational omics research and tightly integrated with massive national projects at NCI. As the principal investigator initiating a new team, Dr. Jiang will spend a significant amount of efforts on the candidates to make sure the success of postdoc training. The NIH Bethesda campus is the world’s largest medical research facility. Candidates will significantly benefit from the team mentorship of many world-class cancer biologists and clinicians, as well as the abundant data resource generated by many national-scale projects. NIH appointed Dr. Jiang as the Earl Stadtman Tenure-Track Investigator, which is a prestigious startup program at NIH. Dr. Jiang is a recipient of the K99 Pathway to Independence Award of the NCI and the Scholar-In-Training Award of the American Association of Cancer Research. For more information, please see the website https://ccr.cancer.gov/cancer-data-science-laboratory/peng-jiang
Senior Bioinformatician
Natera
Natera is currently seeking a Senior Bioinformatician with experience with high-throughput biological data and a strong interest in quantitative biology and algorithm development. The ideal candidate will provide support for analysis of large and complex genomics data sets generated within the group and aid with the integration of data between all of the research personnel.

Responsibilities:
* Analyze high-throughput DNA sequencing data and work with our team of scientists and statisticians to answer specific biological questions.
* Develop tools and automated analysis pipelines for diagnostic tests, including variant detection and quality control.
* Develop new algorithms and tools for DNA sequencing data analysis and propose improvements.
* Contribute to experimental design, quality control, and statistical analysis

Qualifications:
* Bachelor’s degree in Bioinformatics, Computer Science, Engineering, Biochemistry or similar field
* Minimum of 5+ years of relevant work experience
* Deep understanding of DNA sequencing data and its analysis (mapping, variant calling, etc.)
* Experience programming in Java and/or Python
* Experience using Linux command-line tools and writing shell scripts
* Ability to summarize results orally and in written form
* Self-motivated and detail-oriented

Preferred:
* Ph.D. in Bioinformatics, Computer Science, Engineering, Biochemistry or similar field
* Experience with public domain data sources, e.g. dbSNP, 1000 genomes and TCGA
Experience with relational databases
* Experience with Cancer Biology and Immuno-Oncology
Link: https://www.natera.com/careers/job-openings?gnk=job&gni=8a7885a8688e28a10168a321f2c61beb
Postdoctoral Fellows in Computational Genomics -- Algorithm Development
Weill Cornell Medicine of Cornell University
There are positions for outstanding postdoctoral fellows. 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, Deep 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 research questions we are actively perusing in the domains of characterizing human genomes using current (and future!) sequencing technologies, understanding of cancer genomes and clinical Metagenomics.

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: https://physiology.med.cornell.edu/faculty/hajirasouliha/lab/index.html
Postdoctoral fellow in human genetics and evolution
Johns Hopkins University
Applications are invited for a postdoctoral fellow position studying the genomic basis of variation in human complex traits.

The postdoc will join a research group led by Rajiv McCoy in the Department of Biology at Johns Hopkins University. Our lab develops computational and statistical methods to investigate the functional and fitness effects of human genetic variation. We are also interested in the evolutionary mechanisms by which such variation persists in nature. Within this scope, specific research topics include the study of aneuploidy, the leading cause of pregnancy loss. This includes research into the origins and phenotypic consequences of mosaic aneuploidy and structural variation—a potential hidden source of human phenotypic diversity. A second research direction focuses on the functional genomic basis of phenotypic divergence. Past and ongoing work uses introgression among archaic (Neandertal and Denisovan) and modern humans as a model to study this evolutionary process.

The postdoc will be supported in developing new research directions broadly consistent with these themes. In addition to research, opportunities are available to gain experience in teaching and mentoring. The postdoc will also receive guidance and support for career development, tailored to long-term goals.

Johns Hopkins offers an exceptional environment for research and training in computational and statistical genomics, with strong interaction among genomics research groups across departments, academic divisions, and nearby institutions. The Department of Biology further hosts cutting-edge research in molecular biology, cell biology, developmental biology, and biophysics, providing many opportunities for collaboration.

Applicants should email Rajiv with a CV, description of past and future research interests, and contact information for three references. Informal inquiries are also welcome.
Link: http://mccoy-lab.org/join
Algorithms developer
deCODE genetics
Develop algorithms related to ONT and Illumina DNA/RNA sequencing data and relating those with disease.
Link: decode.com
Data scientist, Computational Biology
Ancestry.com
We are seeking a motivated and talented data scientist with interest and experience developing machine learning methods that enable consumers to discover more about themselves. In this role, the successful candidate will analyze the movements and characteristics of populations through time using network analysis and the integration of multiple metadata sources, such as phenotypes, pedigrees, and historical documents. Working with a collaborative and nimble team of data scientists, computational biologists, population geneticists, and computer scientists, the successful candidate will creatively design novel approaches to interpret and find population structure in our database of millions of DNA samples.
Link: Ancestry.com/careers
Computational Biologist-Genomic Data Scientist
Ancestry.com
We are seeking a motivated and talented computer scientist with interest and experience developing computational algorithms to analyze genomic data to infer and characterize shared ancestry and relationships. As a member of the DNA Science team you will be working on cutting edge genomic research that will translate into products experienced by millions of customers. You will regularly work with and learn from the talented members of our multi-disciplinary team of population geneticists, statisticians, computer scientists, and computational biologists to analyze billions of genealogical and genetic records. You will have the challenging role of developing scalable computational approaches to help millions of customers sharing billions of connections understand more about themselves and their family history.
Link: Ancestry.com/careers
Senior Computational Biologist-Senior Genomic Data Scientist
Ancestry.com
We are seeking a Computational Biologist/Senior Genomic Data Scientist to work closely with a talented, diverse, and highly collaborative team of computer scientists, population geneticists, statisticians, biologists, and epidemiologists to develop state-of-the-art genomic analyses, and statistical analyses using our singular database of DNA, family histories, phenotypic records, user-curated survey responses, and historical documents. The successful candidate will be responsible for coordinating and prioritizing research activities to achieve these goals and work closely with developers, architects, and engineers to build robust systems to deliver the results of new analyses.
Link: Ancestry.com/careers
Statistical Geneticist
Ancestry.com
We are seeking a motivated and talented Statistical Geneticist with experience in statistical analysis and computational method development in conjunction with genetic data. Working with a diverse team of population geneticists, computer scientists and epidemiologists, the Statistical Geneticist will utilize, develop, and implement methods for modeling genotypes from nearly 15 million individuals and phenotypes and metadata from billions of historical documents and pedigrees. The successful candidate will be eager to analyze and integrate these data sources to provide meaningful genomic discoveries for consumers.
Link: Ancestry.com/careers
Genetic Epidemiologist
Ancestry.com
We are seeking a motivated and talented Genetic Epidemiologist to use phenotype data to harness the value of our existing genetic and pedigree data. Working with a diverse team of population geneticists, computer scientists, and statisticians, the Epidemiologist will analyze phenotypes with existing genotype data for over 10 million individuals to help our customers better understand their origins and their connections. The successful candidate will have experience in association analyses in multiethnic populations and a computational background manipulating large genomic datasets
Link: Ancestry.com/careers
Postdoc computational single cell cancer omits
MD Anderson cancer center
We are seeking outstanding applicants for Postdoctoral positions to work on single-cell cancer-omics driven research under the supervision of Dr. Ken Chen (http://faculty.mdanderson.org/Ken_Chen/) in the Department of Bioinformatics and Computational Biology.
Dr. Ken Chen is an award-winning researcher/mentor, who had over 15-year professional experience in computational cancer biology. His lab focuses on characterizing the genomic, transcriptomic and proteomic profiles of patient’s tumor samples and match with evidence-based targeted- and immuno- therapies (Personalized therapy of Cancer) for better outcomes. New high throughput technologies such as single-cell sequencing and mass cytometry are often utilized to dissect novel cell types and identify underlying molecular mechanisms that are involved in pathogenesis. The lab has been well funded by NIH, the Cancer Prevention and Research Institute of Texas, Chan-Zuckerberg Initiative, Andy Sabin Foundations, and MD Anderson Moonshots with lots of collaborative opportunities in the area of immunotherapy and targeted therapy. Former trainees in the lab have routinely published first-author papers in top computational biology journals such as Nature Methods and have secured leadership positions in either academia or industry. More information about the lab is available at https://sites.google.com/site/kchengenomics/Home
Position Qualifications:
We are recruiting creative, enthusiastic recent PhD graduates, who would like to develop a professional career in biomedical/cancer research and have
- Ph.D. in Math/Statistics/Physics, Bioinformatics/Biostats, Computer Science/Engineering
- Experience developing and disseminating novel computational tools
- Experience analyzing and interpreting high-throughput data such as DNA and RNA sequencing, microarray, and mass cytometry data
- Proficient in programming languages such as Python, Java, R, Matlab, C/C++
- At least 2 first-author publications in peer reviewed journals.
MD An
Link: None
Postdoctoral Position in Machine Learning & Computational Oncology
University of Pittsburgh
Two NIH-funded postdoctoral positions in Computational Oncology are available in the laboratory of Dr. Osmanbeyoglu at the University of Pittsburgh and UPMC Hillman Cancer Center and Department of Biomedical Informatics. Projects are in the areas of cancer genomics, epigenetics of drug response, and immunotherapy and are executed through multi-disciplinary collaborations. We have a particular interest in developing statistical methods for single cell multi-omics integration.

The Osmanbeyoglu Lab is seeking competitive candidates who have recently completed (or are close to completing) a Ph.D. in an applied quantitative discipline, such as computational biology, bioinformatics, biostatistics or computer science with a strong interest in either basic or translational cancer research. A strong computational background is needed and experience in machine learning is desired, as is previous experience with functional analysis of omics data. Opportunities for wet lab biologists interested in data science are also available. We work closely with basic and clinical science collaborators, both at University of Pittsburgh School of Medicine and other top tier institutions. Salary is competitive and commensurate with experience.

If interested in, please send an email to Dr. Osmanbeyoglu (osmanbeyogluhu@pitt.edu) including your CV (with references) and a brief Research Statement with your background and interests. Please put the word “POSTDOC-APPLICATION-2019” in the subject line.

The University of Pittsburgh is ranked as #5 in NIH funding, and Pittsburgh has been consistently voted as one of the top livable cities in the US. The University of Pittsburgh is an Affirmative Action, Equal Opportunity Employer. EEO/AA/M/F/Vets/Disabled
Link: https://jobs.sciencecareers.org/job/498806/postdoctoral-position-available-in-computational-oncology-and-machine-learning/
Research Data Scientists/Manager in Single Cell Cancer Genomics
MD Anderson cancer center
Research Data Scientists/Manager in Single Cell Cancer Genomics
Location: CPRIT Single Cell Genomics Center
Requirements: MA or Ph.D. in computer science, bioinformatics or data science
Description: The CPRIT Single Cell Genomics Center and Navin laboratory (www.navinlab.com) at the MD Anderson Cancer Center (www.mdanderson.org) is seeking a data scientist that will work on the processing and analysis of cutting-edge single cell sequencing data, including single cell DNA, RNA and ATAC data. The candidate will work closely with staff in the core facility that generate large-scale datasets for analysis. Background in bioinformatics and computational biology are required including programming skills in one or more scripting languages (perl, python), statistical languages (R studio) and programming languages (Java, C++) are required. This person should also have formal course work in statistics, mathematics and data science. The individual will setup and manage data processing pipelines for single cell sequencing, run analyses on Linux servers (RHEL) and perform project-specific analyses such as clustering, phylogenetic inference and high-dimensional analysis of single cell datasets by working closely with research investigators through the core facility. The person will work closely with research collaborators on projects to process and analyze data that is specific to their projects, and will interact with the computational scientists in the Navin laboratory on a regular basis. The person will apply existing computational software packages, and will also develop new statistical methods for the analysis of single cell sequencing datasets, including the analysis of new technologies that are developed in the core facility with spatial resolution.
Please send your CV and a cover letter to:
nnavin@mdanderson.org

Link: None
Scientist - Immuno-oncology Bioinformatics/Data Science
Regeneron
Position Summary
Known for its scientific and operational excellence, Regeneron is a leading science-based biopharmaceutical company that discovers, invents, develops, manufactures, and commercializes medicines for the treatment of serious medical conditions. Regeneron commercializes medicines for eye diseases, high LDL-cholesterol, atopic dermatitis and a rare inflammatory condition and has product candidates in development in other areas of high unmet medical need, including rheumatoid arthritis, asthma, pain, cancer and infectious diseases.

Summary
We are seeking an innovative and collaborative bioinformatics/data scientist to help drive new initiatives in immuno-oncology related research and technology development at Regeneron. The scientist will work on implementing/developing state-of-the-art analysis, mining, and visualization techniques to deep dive into single cell and bulk sequencing data from pre-clinical experiments and clinical trials. The scientist will play an important role in the decision making processes involved in the drug discovery efforts at Regeneron and will support Regeneron’s external collaborations.

Responsibilities
The successful candidate will work with an innovation-focused and fast-paced collaborative team of scientists to answer complex biological questions in a data-driven manner. Primary responsibilities will be to:
1) Analyze in-house single cell/bulk sequencing data from patient-derived T-cells and tumor cells, and develop interactive data visualizations.
2) Develop machine learning prediction models leveraging in-house and public datasets.
3) Generate hypothesis from multi-omics data and help guide experimental design to test the hypothesis.
4) Discover and prioritize therapeutic targets through integrated analysis of in-house and public datasets.
5) Implement high-throughput data analysis pipelines in a high-performance computing setup.
6) Identify novel research problems and implement/develop tools to come up with clever and
Link: https://careers.regeneron.com/job/REGEA0026308475/Scientist-Immuno-oncology-Bioinfomatics-Data-Science
Postdoctoral Fellow in Computational & Mathematical Cancer Evolution
Stanford University
We are looking for motivated and creative postdoctoral fellows to join our new lab and work on cancer evolution, genomics, and cancer early detection. See http://reiterlab.stanford.edu for more information about our research. The candidate should have a doctoral degree in bioinformatics, mathematical biology, computer science, biostatistics, applied mathematics, biophysics, population genetics, or related areas. Interested candidates should send a brief cover letter describing their research interests (< 1 page), a CV, and contact information for references to me (johannes.reiter@stanford.edu).
Link: http://reiterlab.stanford.edu
Biomedical Data Scientist
Princeton University
Princeton University Department of Computer Science
Data Scientists in Biomedical Data Science - Schmidt Data X Project

Princeton Computer Science is seeking two Biomedical Data Scientists. Data Scientists will develop novel, scalable algorithms and machine learning techniques and apply these to large repositories of biomedical data. They will work with faculty, post-doctoral researchers, and graduate students to accelerate discovery and increase research impact. The Biomedical Data Scientists will join a team of six Data Scientists working across multiple disciplines as part of the Schmidt Data X Project at Princeton. The Biomedical Data Science initiative is spearheaded by the Department of Computer Science, with strong connections to the Lewis-Sigler Institute for Integrative Genomics, Princeton Neuroscience Institute, and several other engineering departments.

* Ph.D. required in computer science, mathematics, statistics, data/computational science, or related disciplinary field or equivalent combination of educational training and relevant experience.

* 5+ years working in data analysis/scientific computing role required

* Knowledge of computational methods and mathematical modeling

* Demonstrated experience applying machine learning, algorithmic and/or optimization tools

* Strong coding and algorithm prototyping skills, as well as the ability to explain and document this work in accessible ways; expert knowledge of a data science language such as Python, R, C/C++, or Julia

* Experience in developing software for public cloud platforms preferred

*Proficiency in SQL, database design and building data-driven web applications preferred

*Experience excelling in a highlight collaborative, multi-disciplinary research environment

*Experience determining strategy and executing interdisciplinary projects strongly preferred

Complete description and application on website.
Link: https://puwebp.princeton.edu/AcadHire/apply/application.xhtml?listingId=10661
Postdoc Fellow & Staff Scientist positions of Cancer Data Science
National Cancer Institute
Postdoctoral Fellow and Staff Scientist positions are available in the Cancer Data Science Laboratory of National Cancer Institute (NCI), a new branch with the mission of harnessing a broad spectrum of computational approaches (e.g., statistics, machine learning, algorithms, etc.) for analyzing and integrating cancer omics data. The candidate will develop cutting-edge computational methods to address fundamental questions concerning cancer origin, evolution, progression, and treatment. The Lab will work in a highly collaborative and integrative manner with other NCI Labs to generate testable predictions whose experimental outcomes could further feedback to the algorithm development. The NIH Bethesda campus, located at the suburb of Washington DC, is the world’s largest medical research facility. Candidates will significantly benefit from the team mentorship of many world-class biologists and clinicians, and the abundant data resource generated by many national- and international-scale projects.

There are multiple investigators at the Lab with broad coverage of expertise, including genetic interaction, epigenetic regulation, structural variation, tumor heterogeneity and evolution, single-cell omics, precision medicine, and immunotherapy resistance. Applicants are encouraged to explore the profile of each investigator and identify the best match of research foci. Interested candidates should submit a C.V. and three references to Nadia Nimley at nadia.nimley@nih.gov. Please indicate the investigators that you want to apply in the cover letter.

1. Eytan Ruppin, Chief
https://ccr.cancer.gov/cancer-data-science-laboratory/eytan-ruppin

2. Sridhar Hannenhalli, Senior Investigator
https://ccr.cancer.gov/cancer-data-science-laboratory/sridhar-hannenhalli

3. Cenk Sahinalp, Senior Investigator
https://ccr.cancer.gov/cancer-data-science-laboratory/s-cenk-sahinalp

4. Peng Jiang, Investigator
https://ccr.cancer.gov/cancer-data-science-laboratory/peng-jiang
Link: https://ccr.cancer.gov/cancer-data-science-laboratory
Scientific Editor
Cell Press
Your new role:

Cell Press is seeking a full-time scientific Assistant Editor to work on two journals, Cell Systems and iScience. Cell Systems is a monthly, hybrid open-access journal. It publishes exceptional work that uses math, engineering, physics, statistics, or computer science to interrogate salient biological problems. iScience is a new, broad-scope, open-access, digital-only journal that publishes on demand. It champions basic life and physical science by publishing research in a straightforward and timely way. Your job will be to ensure that all high-quality, interdisciplinary manuscripts submitted to Cell Press can be offered good, appropriate homes. This will require you to work dynamically between both journal teams while also being an integral part of each.

Compelling applicants will bring curiosity, generosity, and incisive thinking to their work. They will be comfortable thinking independently about difficult scientific problems and adept at communicating complicated ideas with precision, nuance, and clarity. Most importantly, they will care deeply about science and have strong convictions about how to serve the scientific community well.

This is a full-time in-house editorial position, based in our main US office in Cambridge, MA.
We will consider applications on a rolling basis until June 3, 2019. To apply, please include your CV or resume and a cover letter describing why you are interested in this role.

Key Responsibilities Will Include:

Assessing submitted research papers for both Cell Systems and iScience

Overseeing the peer review process at both journals

Working collaboratively with researchers and editors

Recruiting high-quality, interdisciplinary research papers

Representing Cell Systems, iScience, and Cell Press at scientific meetings, and visits to research institutions
Qualifications Include:
A PhD in systems biology, bioengineering, biophysics, bioinformatics, or or a related discipline is required.
Link: https://www.cell.com
Posdoc Fellow at McGill university
McGill University
Our lab has projects in statistical and population genetics. Projects include mathematical, medical, historical, and ethical questions.
Link: None
Postdoctoral Research Associate in Computational Epigenomics
University of Virginia
The Center for Public Health Genomics at the University of Virginia is seeking to fill a Postdoctoral Research Associate position in computational biology in the lab of Dr. Chongzhi Zang. The research program of the Zang Lab focuses on developing computational methodologies and designing integrative genomics approaches to study epigenetics and transcriptional regulation of gene expression. Representative projects include: develop novel algorithms for analyzing single-cell epigenomics data (e.g. scATAC-seq); design model-based computational approaches for multi-omics data integration to infer gene regulatory networks; integrate public multi-omics data to characterize physical and dynamic properties of chromatin epigenomes in human cancer systems.

To qualify for this position, a Ph.D. or equivalent degree in Bioinformatics, Computational Biology, Physical Sciences, Applied Mathematics, Statistics, Computer Science, Engineering, or a related field in hand is required by start date. A successful candidate must have strong programming skills in Python (or C/C++) & R, a strong quantitative background (e.g., statistical modeling, machine learning, computational or theoretical physics, etc.) or computational genomics experience (e.g., next-generation sequencing analysis, etc.). Excellent oral and written communication skills and the ability to work in a team environment are also required. A publication record of at least one first-author (including co-first author) paper written in English in the previous area of research (not necessarily computational biology) in peer-reviewed journals or conference proceedings with submitted, accepted or published status, is required at the time of application.

The University of Virginia is an equal opportunity and affirmative action employer. Women, people from underrepresented racial and ethnic groups, veterans and persons with disabilities are especially encouraged to apply.

Please email the PI to apply or for inquiries.
Link: http://faculty.virginia.edu/zanglab
Postdoc in machine learning and genomics at Simon Fraser, Vancouver BC
Simon Fraser University

Two postdoc positions are available in Maxwell Libbrecht's group at the department of Computing Science, Simon Fraser University, Vancouver BC.

(1) Understanding the genetic basis of COPD through functional genomics.

The research group of Dr. Maxwell Libbrecht in Simon Fraser University's department of Computing Science seeks a postdoctoral researcher to work on a project that aims to develop statistical and machine learning methods to understand the genetic basis of COPD. Chronic obstructive pulmonary disease (COPD) is a progressive, inflammatory lung disease that affects more than 300 million people and is the 3rd leading cause of death worldwide. This project aims to leverage data from genome-wide association studies (GWAS) and functional genomics data from the ENCODE consortium to improve understanding of COPD. The project is in collaboration with Dr. Ma'en Obeidat and the Providence Health Care Providence Airway Centre.

(2) Predicting drug resistance in pathogenic bacteria through deep learning.

Pathogenic microbial organisms cause a significant burden of disease, particularly due to the problem of drug resistance, whereby a pathogen no longer responds to treatment by one or more available drugs. The availability of fast, reliable and affordable whole-genome sequencing (WGS) methods has the potential to be a major boon for public health authorities attempting to control the development of drug resistance and the spread of epidemic outbreaks. However, in order to fully harness the power of these methods there is an urgent need for novel machine learning and algorithmic techniques for microbial WGS data. Machine learning (in particular, deep learning) provides a tool to predict and understand the relationship between drug resistance and genotype.

The successful applicant will develop and apply deep learning and probabilistic graphical model methods. Applicants should have a PhD in computer science, statistics, molecular biology, bioinformatics or a related
Link: http://www.cs.sfu.ca/~maxwl/postdoc.html
Bioinformatics scientists
Biotia
Biotia is a biotech startup working with hospitals to fight the spread of nosocomial diseases and antimicrobial resistance. Located in NYC, we work with hospitals in the US and abroad.
In brief, we are looking for Bioinformatics scientists to expand our bioinformatics pipelines, to optimize our comparative analysis pipelines, to conduct research on our large datasets of genomic and metagenomic data, to build user-friendly software tools for generating visualization/plots for customized reports.
Internship position in Bioinformatics/Computational Biology
Biotia
Biotia is a biotech startup working with hospitals to fight the spread of nosocomial diseases and antimicrobial resistance. Located in NYC, we work with hospitals in the US and abroad.
We are offering several paid internships for MS/PhD students (major in Biology, Computer Science, Mathematics, Microbiology, Statistics) starting in July 2019. The intern will be working with us, for 3 to 6 months, on several research projects in bioinformatics (with applications in genomics, epigenetics or metagenomics). The internship will include analysis of large NGS datasets from real patient samples using HPC, design/implementation of computational models, and (depending on performance/results) collaboration on a manuscript that will be submitted to top ranked peer-reviewed journals/conferences.
Please send your cover letter, and resume/CV to Dr. Rachid Ounit.
Link: None
Postdoctoral fellow at UCLA
UCLA
Our lab works at the intersection of machine learning and genomics. We are looking for a postdoctoral fellow with strong background in statistics, computation, programming, and/or medical and population genetics.

See www.cs.ucla.edu/~sriram/openings.html for details

Link: www.cs.ucla.edu/~sriram
LOVE DC? postdoc positions at Washington, DC
Children's National Medical Center and GWU
Computational biology postdoc positions are available in the laboratory of Wei Li at Children’s National Medical Center, and The George Washington School of Medicine and Health Sciences.

We are devoted to developing cutting-edge computational methodsfor biology and medicine, with a focus on understanding how coding and non-coding elements function in cancer and childhood diseases. 

Interested candidates should submit a CV, a cover letter of research background and future research goals, and the contact information of three references letters by email to Wei Li (li.david.wei AT gmail). More information can be found from our website (https://weililab.org).

We are at poster #93.
Link: https://weililab.org
Bioinformatics statistician
Bristol-Myers Squibb
We are seeking a highly motivated bioinformatician with academic and/or industry experience to join our Cambridge MA Translational Bioinformatics group. The successful candidate will use advanced analytical methods to identify mechanisms of resistance to cancer therapies using integrated analyses of genomic datasets from multiple clinical studies and multiple technologies including transcriptomics, metabolomics, proteomics and gene expression. You will collaborate with experts in oncology, drug discovery and genomic technologies inside and outside of BMS to develop and test hypotheses about resistance to current cancer therapies and develop new approaches to benefit patients
Link: https://bristolmyerssquibb.wd5.myworkdayjobs.com/BMS/job/Cambridge---MA---US/Bioinformatics-Statistician---Machine-Learning-Expert_R1515385
Single Cell Bioinformatics Analyst
Bristol-Myers Squibb
Job Description:
Bioinformatics – Single Cell Sequencing & NGS Analyst
We are seeking a highly motivated bioinformatician with academic and/or industry experience to join our Cambridge MA Translational Bioinformatics group. The successful candidate will work with bioinformaticians, experimental biologists and others to design, process and analyze single cell RNAseq and related experiments. You will collaborate with experts in oncology, drug discovery and next-gen sequencing inside and outside of BMS to advance our understanding of resistance to current cancer therapies and develop new approaches to benefit patients.
Link: https://bristolmyerssquibb.wd5.myworkdayjobs.com/en-US/BMS/job/Cambridge---MA---US/Single-Cell-Bioinformatics-Analyst_R1515357-1
Bioinformatics - Proteomic Data Analyst
Bristol-Myers Squibb
Proteomic Data Analyst
We are seeking a highly motivated bioinformatician with academic and/or industry experience to join our Cambridge MA Translational Bioinformatics group. The successful candidate will work with bioinformaticians, experimental biologists and others to analyze large-scale datasets from high throughput proteomic profiling studies. You will provide expert guidance in how to process, normalize and analyze data from large-scale proteomic studies and collaborate with internal and external scientists to generate and test hypotheses about mechanisms of resistance to cancer therapies.
Link: https://bristolmyerssquibb.wd5.myworkdayjobs.com/en-US/BMS/job/Cambridge---MA---US/Bioinformatics---Proteomic-Data-Analyst_R1513695
Research Investigator, Translational Bioinformatics
Bristol-Myers Squibb
We are seeking a bioinformatician to join the bioinformatics analysis team at our new site in Cambridge, MA. You will use cutting-edge bioinformatic approaches to integrate and analyze genomic datasets from preclinical studies, clinical samples, and real-world datasets to identify mechanisms of resistance to current oncology and immuno-oncology therapies. You will collaborate with experts in oncology and drug discovery inside and outside of BMS to advance our understanding of resistance to current therapies and develop new approaches to benefit patients.
Link: https://bristolmyerssquibb.wd5.myworkdayjobs.com/en-US/BMS/job/Cambridge---MA---US/Research-Investigator--Translational-Bioinformatics_R1515324
Group leader, Genomics
Bristol-Myers Squibb
The successful candidate will have Ph.D. in Molecular/Cell Biology or Genetics or Biochemistry with at least 5 years or M.S in Molecular/Cell Biology or Genetics with at least 8 years of relevant scientific lab experience with emphasis on Next Generation Sequencing (NGS) work flow and other genomics methods.
Robust experience in NGS work flow including library generation and relevant method development.
Broad experience in advanced Cell and Molecular Biology technique is essential.
Experience in single cell genomics is preferred
Experience in working with FFPE and other clinical sample handling preferred.
Detail oriented and effective communicator.
Expertise in Cell separation technologies such as FACS/Microfluidics a plus but not essential.
Strong focus, motivation, and commitment to hands-on lab work.
Ability to trouble shoot and make independent decisions regarding experimental details
Extensive people and project/matrix team experience, with demonstrated ability to work effectively within multidisciplinary teams.
Flexibility to accommodate to rapidly changing priorities and deadlines
Link: https://bristolmyerssquibb.wd5.myworkdayjobs.com/BMS/job/Cambridge---MA---US/Senior-research-Investigator_R1508144-1
Computational Genomics Specialist - Transcriptomics
MSC - contract NIAID
Medical Science & Computing is searching for a Computational Genomics Specialist to join our Bioinformatics team at NIH. This opportunity is a permanent, full-time position with MSC and it is on-site at the NIH in Berhesda, MD.

The successful candidate will work cooperatively with current computational biology specialists to:
Implement, design, develop, and innovate current and emerging computational biology and bioinformatics algorithms to analyze, manage, interpret, visualize, and illustrate original scientific data
Enter into scientific collaborations with physicians and scientists that include the potential for authorships and acknowledgements in publications.

Requirements (see more in website):
Ph.D. (or other graduate degree with equivalent experience) in computational biology, bioinformatics, genetics or related life, physical, or computational sciences with at least one publication demonstrating the use or development of computational biology applications

Demonstrated proficiency in the analysis of large-scale transcriptomics data (especially RNA-seq and scRNA-seq) and experience with a broad spectrum of relevant open-source software or pipelines (BWA, HiSAT, STAR, DESeq2, Salmon, Kallisto, etc.).
Experience working with relevant genomic databases and browsers and their annotations (NCBI, Refseq, Ensembl, GEO, IGV, UCSC Genome Browser)
Link: https://careers-mscweb.icims.com/jobs/3421/computational-genomics-specialist---transcriptomics/job
Computational Genomics Specialist - Clinical
Medical Science & Computing (contract for NIAID)
The successful candidate will work cooperatively with current computational biology specialists to:
Implement, design, develop, and innovate current and emerging computational biology and bioinformatics algorithms to analyze, manage, interpret, visualize, and illustrate original scientific data
Enter into scientific collaborations with physicians and scientists that include the potential for authorships and acknowledgements in publications
Gather detailed requirements from stakeholders and identify existing tools to perform the novel analyses or develop algorithms/tools to perform the analysis
Document and manage collaborative and consultant assistance and training provided to researchers
Provide on-site, on-demand support and troubleshooting to researchers in the use of computational biology software
Research, design, and deliver training materials to effectively communicate, promote, and advance computational biology techniques and software usage by NIH researchers

Requirements

Ph.D. (or other graduate degree with equivalent experience) in computational biology, bioinformatics, genetics or related life, physical, or computational sciences with at least one publication demonstrating the use or development of computational biology applications.
Good understanding of genomics, molecular biology, and technologies such as qPCR and next-generation sequencing.
Demonstrated proficiency in analysis of large-scale genomic sequencing data (especially variant analysis from whole genome or exome sequencing data, but also RNA-seq or genome assembly) and experience with a broad spectrum of relevant open-source software or pipelines (e.g., BWA, GATK, SnpEff, VEP, HISAT2, STAR, DESeq2, etc.).
Experience working with relevant genomic databases and annotations (NCBI, Refseq, Ensembl, ClinVar, HGMD, gnomAD, CADD, IGV, UCSC Genome Browser)
Proficiency in the use of UNIX/Linux and its command-line environment, including scripting (e.g., Python,

**see link above for full details*
Link: https://careers-mscweb.icims.com/jobs/3422/computational-genomics-specialist---clinical/job
postdoctoral fellow in computational biology
NIH / NCBI
The Algorithmic Methods in Computational and Systems Biology Section (Przytycka’s lab)  at NCBI (NLM/NIH)  seeks  postdoctoral candidates  to develop novel algorithms and approaches for the analysis of mutational landscape of cancer, gene regulation, and/or single cell data analysis. We are looking for highly motivated individuals with an experience in bioinformatics / computational biology / computer science. Experience in algorithm design, optimization techniques, machine learning, or a related experience along with programming skills are essential. Ph.D. degree is required. Applicants should have less than 5 years of postdoctoral experience. 
Interested applicants should submit the following materials electronically to Teresa Przytycka (przytyck@ncbi.nlm.nih.gov): cover letter, CV, summary of past work, and the names and e-mail addresses of three references. 
Link: https://www.ncbi.nlm.nih.gov/CBBresearch/Przytycka/index.cgi#research
<< See 48141 More Jobs Posted in Whova Events