Computational Biologist

Broad Institute
Job Location
Cambridge, MI
Job Description

We are seeking a highly motivated Computational Biologist with a strong background in “big data” approaches to experimental genomics to join our multidisciplinary drug discovery team. We are a group of experts in biochemistry, genomics, cell biology, and clinical medicine focused on transforming the treatment of rare metabolic disorders. The successful candidate will play an essential role on the team, helping to determine which target pathways are given the highest priority. This position requires a strong background in computational genomics (e.g., genome sequence analysis, ChIP data analysis, RNA-seq analysis, statistical genetics) with an ability to analyze newly generated data in the context of what is in the public domain. The ideal candidate will be an enthusiastic and organized individual who enjoys a fast-paced, team-based approach to discovery. Attention to detail and excellent communication skills are a must. There will be ample opportunities for co-authorship on high-impact papers

- Analyzes large-scale data sets generated by an experimental team, including genome-wide CRISPR screens, RNA profiling, and metabolomics in the context of publicly available data sets
- Presents the results of data analysis to the entire team in a clear manner
- Readily adapts to new data sets by modifying existing analysis tools and developing novel approaches
- Plans and executes projects independently, identifying and resolving technical and methodological problems as they arise
- Trains, supervises, or mentors junior computational staff as needed
- Ph.D. in a quantitative discipline (such as computer science, bioinformatics, physics; or in biology with a strong quantitative background) is required.
- Extensive background in data analysis (multivariate statistics, statistical inference, regression analysis) and genomics (bioinformatics, analysis of genomic information)
- Strong programming skills, including scripting, databases, and scientific computing
- Record of high impact research publications and scientific presentations
- Demonstrated ability to develop and shift plans to adjust to rapidly changing scientific priorities and technologies
- Excellent communication (both in writing and presenting), analytical, and interpersonal skills
- Outstanding organization and time management skills
- Ability to build excellent working relationships and foster collaboration in a team environment

EOE/Minorities/Females/Protected Veterans/Disabilities

If interested, please apply online at

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