We are seeking a highly skilled and motivated Computational Biologist to join our growing research team in our mission to serve patients with intractable cancers. Your primary responsibilities will be to work with next generation sequencing datasets to discover and validate novel targets, and to elucidate the biology of these diseases. Responsibilities include collaborating with medical doctors and molecular biologists to answer critical questions using novel sequencing datasets, including analysis and interpretation of large complex data sets for new target and biomarker discovery; analyzing internal and external data sets, such as RNA-Seq, single cell RNA-Seq, exome-seq, ChIP-seq and various protein atlases, to generate and test hypotheses about biological mechanisms of action; translating data into biological insights, present and discuss results in project team meetings, and plan new experiments with biologists.
• PhD in Biology, Bioinformatics, Computational Biology, Computer Science or in Life Science, Mathematics with 3+ years relevant experience applying quantitative statistical approaches to solving biological problems in the context of large multidimensional datasets
• Proficiency in programming, scripting, querying or statistical analysis languages such as R, python, perl, unix is required
• Expertise in scientific data analysis for the purposes of both discovery and data quality control complemented by visualization and presentation skills is essential
• Demonstrated expertise in delivering insights and hypotheses from complex multi-dimensional biological data in a biomedical context is required
• Experience with standard single cell RNA-Seq tools such as Cell Ranger, Dropseq tools and Seurat is preferred
• Experience in data mining and working with published sequencing datasets is preferred• Knowledge of molecular biology is preferred
• Excellent organizational and time management skills
• Able to thrive in a collaborative, fast-paced, team-oriented environment with colleagues from diverse disciplines
Qualified candidates should have a sufficiently established track record demonstrating scholarly attributes to qualify for Harvard Medical School appointment. The appointment will be at the Instructor, Assistant or Associate Professor level, depending on the previous experience of the appointee.
We are an Equal Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. Women and minorities are encouraged to apply.
Interested candidates should submit curriculum vitae and letter of interest to:
Gerard M. Doherty, MD, Chair, Department of Surgery
Brigham and Women’s Hospital
75 Francis Street
Boston, MA 02115
or email firstname.lastname@example.org.