Job Description:
Job Description Associate Computational Biologist - GTEx/GRO The Broad Institute is launching a new effort the Gene Regulation Observatory (GRO). The mission of the GRO is to deeply understand fundamental processes of genome regulation in single cells and spans interests from many of the Broads programs and communities including the Epigenomics & Cell Circuits MPG and Stanley center programs and communities. The Genotype-Tissue Expression (GTEx; http://gtexportal.org) group at the Broad Institute is looking for exceptional candidates to join these efforts with a focus on characterizing how genetic variation regulates gene expression across human cell types and tissues towards the goal of characterizing the function of genetic variants and genes in human diseases and traits. The successful candidate will join an interdisciplinary team working with an unprecedented set of sequencing data from a wide range of human tissues and cell types including from state-of-the-art multi-omic single-cell assays. We are looking for individuals who are enthusiastic about taking a hands-on problem-solving approach and collaborating with other scientists in an informal and collegial work environment that is infused with intellectual rigor. The right candidates will have outstanding academic records and strong communication skills will demonstrate innovative and analytical thinking and will enjoy working in an interdisciplinary team. The Broad Institute provides a vibrant research environment with close links to MIT Harvard and the Harvard-affiliated hospitals across Boston. The position provides the potential for your contributions to be utilized and recognized across a global network of researchers participating in these efforts and by the thousands of monthly users of the GTEx Portal. Familiarity with genomic data is preferred but not required; foremost we are looking for a candidate with a strong desire to contribute to this field.
Characteristic Duties:
Apply existing and novel algorithms to multi-omic single-cell datasets (e.g. RNA-seq + ATAC-seq); analyze data quality; perform integrative analyses with other internal and external datasets; critically review and analyze results; communicate results to interdisciplinary teams of biologists computational biologists and software engineers. Develop data analysis strategies write algorithms and deploy computational tools for the exploration of very large single-cell data sets from multiple large-scale projects within the GRO such as GTEx CZI seed networks projects for the Human Cell Atlas (HCA) and our internal Variant to Function initiatives. Explore novel data visualization tools with emphasis on integrating diverse data types. Implement algorithms as software for distribution to the global cancer research community.
Requirements: B.S. in Computer Science Bioinformatics Engineering Math Statistics Physics or a related quantitative discipline.
M.S. degree in the same fields is preferred. Strong programming skills and experience in algorithm development (using e.g. Python or C++). Knowledge of statistics and computational data analysis (Python R Julia or MATLAB). Knowledge of biology/genetics is not required though it is a plus.
All Broad employees regardless of work location must be fully vaccinated for COVID-19 byTuesday October 12 2021. Requests for exemption for medical or sincerely held religious beliefs will be considered.
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