Computational Scientist- Mootha Laboratory

The Broad InstituteCambridge, MA
1d$88,000 - $124,000Onsite

About The Position

Computational Scientist – Mootha Laboratory Join the Mootha Laboratory at HHMI/Broad Institute to uncover the mechanisms of mitochondrial dysfunction in human disease. As a Ph.D. Data Scientist, you will join a dynamic team of ~25 post-docs and professional scientists dedicated to high-impact discovery. Your role will involve analyzing and integrating high-dimensional multi-omics data (DNA sequencing, RNA-seq, single cell RNA-seq, proteomics, and metabolomics). You will work closely with lab members to influence all aspects of a project’s lifecycle, from initial experimental design and data capture, to quality control, statistical inference, and biological interpretation. As part of the Broad Institute, you will have access to world-class computational infrastructure and a vibrant community of over 500 scientists. This is a rare opportunity to be part of an exciting team of leaders in biochemistry, computational biology, and clinical medicine, with ample opportunities for co-authorship on high-impact publications.

Requirements

  • Ph.D. in Bioinformatics, Computational Biology, Computer Science, Mathematics or related quantitative field
  • 3+ years of research experience (inclusive of doctoral training) with a proven track record of applying multivariate statistics and integrative approaches to complex biological datasets
  • Deep expertise in scientific programming (e.g. R or Python)
  • Excellent oral and written communication skills, with the ability to translate statistics and complex data findings into actionable biological insights for experimental collaborators
  • Track record in Computational Biology, as evidenced by a first-author paper in Computational Biology

Nice To Haves

  • experience with cloud computing (e.g. GCP/AWS/Terra.bio) and reproducible research practices is preferred

Benefits

  • medical, dental, vision, life, and disability insurance
  • a 401(k) retirement plan
  • flexible spending and health savings accounts
  • at least 13 paid holidays
  • winter closure
  • paid time off
  • parental and family care leave
  • an employee assistance program
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