Description & Requirements
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:
- Education: Ph.D. in Bioinformatics, Computational Biology, Computer Science, Mathematics or related quantitative field
- Experience: 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
- Technical skills: Deep expertise in scientific programming (e.g. R or Python); experience with cloud computing (e.g. GCP/AWS/Terra.bio) and reproducible research practices is preferred
- Communication: 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