Bioinformatics/Computational Analyst Staff Scientist Position

Institution/Company:
National Cancer Institute
Location:
Rockville, MD, United States
Job Type:
  • Staff
Degree Level Required:
PhD
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Bioinformatics/Computational Analyst Staff Scientist Position

The Division of Cancer Epidemiology and Genetics (DCEG), National Cancer Institute (NCI), National Institutes of Health (NIH), is recruiting a computational analyst/bioinformatician for the analysis of large-scale genetic association studies in the Occupational and Environmental Epidemiology Branch (OEEB). OEEB integrates genetic, molecular and epidemiologic data to understand the etiology of cancer, including genetic susceptibility and mechanisms of action of suspected occupational and environmental carcinogens. Branch investigators are leading international consortia studies that evaluate the contribution of germline genetic variation to cancer susceptibility with related projects integrating transcriptomic, epigenetic, and other high-dimensional biomarker data and somatic variation to gain insight into functional mechanisms. The successful candidate will provide bioinformatic analytical support for multiple genetics projects lead by Principal Investigators in the branch, including genome-wide association studies (GWAS) and next generation sequencing projects.

Responsibilities:

The Staff Scientist will be expect to perform a range of genetic and bioinformatic analyses including: • Perform large-scale genotyping quality control, phasing and imputation, population structure assessment, variant association testing (using SAIGE, BOLT-LMM, RVTest, etc…), LD-score regression, meta-analysis (e.g., RAREMETAL), trans-ancestry analyses (e.g., MR-MEGA), rare variant burden testing (e.g., SKAT), fine-mapping, pathway and other related analyses for genome-wide association studies (GWAS) • Develop and maintain necessary bioinformatics pipelines for conducting state-of-the art genetic analyses; utilize open-source programs (e.g., SAIGE, SKAT) for analysis of GWAS and next generation sequencing (NGS) data • Process and utilize publicly available datasets (e.g., UK Biobank, gnomAD, GTEx) for analysis • Organize results into clear presentations, figures or summary files as needed • Grow and maintain experience with state-of-the-art bioinformatics tools and data repositories.

Qualifications:

The successful candidate must have: • Doctoral degree in bioinformatics, biostatistics, computer science, computational biology or other related disciplines. • Experience processing and analyzing large genetic datasets (particularly GWAS) • Expertise in algorithmic implementation, statistical programming and data manipulation and proficiency in programming using Python, Perl, R, C/C++, and/or JAVA. • Experience with open-source bioinformatic tools for genetic analyses (e.g., GCTA, SAIGE, BOLT-LMM, FINEMAP, PrediXcan, LDSC, RAREMETAL, MAGMA, DEPICT); experience with public bioinformatic/genetic databases (e.g., dbGAP, TCGA, ENCODE, gnomAD, 1000 Genomes, and GTEx) • Proficiency in R/Bioconductor; experience with bash scripting and working in a Linux environment (especially a computer cluster environment); experience with core statistical methods (e.g. linear regression, logistic regression, linear mixed models, etc.) • Demonstrated ability to self-educate in current and evolving bioinformatics techniques and resources. • Ability to communicate effectively in speech and in writing is important, as demonstrated by a track record of publications in peer-reviewed literature as part of a research team or collaborative projects.

  • How to Apply

    To apply for the position, please email a cover letter, curriculum vitae, brief summary of research interests and experience, and two letters of reference.

Additional Information

Selection for this position will be based solely on merit, with no discrimination for non-merit reasons such as race, color, religion, gender, sexual orientation, national origin, political affiliation, marital status, disability, age, or membership or non-membership in an employee organization. NIH encourages the application and nomination of qualified women, minorities and individuals with disabilities. NIH provides reasonable accommodations to applicants with disabilities. If you require reasonable accommodation during any part of the application and hiring process, please notify us. The decision on granting reasonable accommodation will be made on a case-by-case basis. This position is subject to a background investigation. Salary is commensurate with research experience.

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