Computational Scientist II - Karczewski Lab

Computational Scientist IIWe are looking for a highly motivated individual to join the Karczewski lab in the Analytic and Translational Genetics Unit (ATGU) at the Broad Institute and MGH. The successful candidate will join an interdisciplinary team of computational biologists, bioinformaticians, software engineers, geneticists, and clinicians. The candidate will perform large scale genetic data analyses across multiple biobanks to understand how genetic variation contributes to various disease outcomes throughout individual lifetime. Proteomics and longitudinal clinical lab values will be a specific focus in the next phase in both understanding the functional mechanisms of disease associated variants, as well as in evaluating proteins as predictors of incident disease or as biomarkers of disease progression.The Broad Institute provides a vibrant multidisciplinary research environment with close links to MIT, Harvard, and the Harvard-affiliated hospitals across Boston. As a member of our team, you will be provided the opportunity for your contributions to be utilized and recognized across the vast global network of researchers in the fields of genomics and computational biology.CHARACTERISTIC DUTIES:Lead genetics/genomics data-analysis across multiple biobanks and cohorts, developing AI systems to analyze these dataQuality control and analysis of various omics data, especially proteomicsDevelop data-analysis pipelines for robustly and reproducibly analyze very large data setsUnder general direction, develop innovative analytical methods to enable collaborators to interpret results and design follow-up researchRegularly communicate accomplishments and progress at project team meetings.Lead and participate in preparation of manuscripts for publication, prepare reports, and present at scientific conferences.REQUIREMENTS:Experience in genomic analysis of population genetics and association data.Good practical command of a wide range of tools, methods and data formats used in sequencing studiesAbility to independently drive scientific projects from inception to publication with limited supervisionRelevant publications in high impact scientific journals.Good applied statistics knowledgeGood general programming skills and familiarity with tools of the trade (Linux, shell scripting, git etc.) are must have skills.The team currently works mostly with Python and R.PhD in computational biology, bioinformatics, statistics or other similar quantitative discipline or equivalent experience, and 3+ years of post-doctoral experience in statistical genetics and bioinformatics required.Experience with biological datasets, preferably large-scale genotyping and/or sequencing data and experience with electronic health record (EHR) are desirable.Demonstrated capability as highly organized, a creative problem-solver, detail-oriented, self-motivated, and able to work independently as well as within cross-functional teams.Ability to adapt to rapidly changing and high-demand environments.Cloud computing experience (Google Cloud) and familiarity with Docker are an asset.Good understanding and practical experience in data management tools (sql, nosql, big data) and applications are an asset.The expected base pay range for this position is based on a 40 hour per week schedule. Broad provides pay ranges representing its reasonable and good faith estimate of what the organization reasonably expects to pay for a position at the time of posting. Actual compensation will vary based on factors including but not limited to, relevant skills, experience, education, qualifications, and other factors permissible by law. Broad Institute