Located in Boston and the surrounding communities, Dana-Farber Cancer Institute brings together world renowned clinicians, innovative researchers and dedicated professionals, allies in the common mission of conquering cancer, HIV/AIDS and related diseases. Combining extremely talented people with the best technologies in a genuinely positive environment, we provide compassionate and comprehensive care to patients of all ages; we conduct research that advances treatment; we educate tomorrow's physician/researchers; we reach out to underserved members of our community; and we work with amazing partners, including other Harvard Medical School-affiliated hospitals.
Dana-Farber Cancer Institute seeks a Computational Biologist who will work in the Aguirre laboratory within the Hale Center For Pancreatic Cancer Research (http://halecenter.dfci.harvard.edu) and the Broad Institute of Harvard and MIT. The successful candidate will work as a data scientist on the analysis of datasets generated from pancreatic cancer genome sequencing, bulk and single-cell RNA-sequencing and small molecule drug sensitivity testing in order to help advance efforts for precision cancer medicine.
The qualified candidate will develop and implement integrative computational approaches to analyze genome sequencing data, CRISPR-Cas9 and small molecule screening data and bulk/single-cell RNA sequencing data to understand the pathogenesis of pancreatic cancer and other gastrointestinal malignancies. The candidate will become part of an integrated team including laboratory, computational and clinical scientists across Dana-Farber Cancer Institute and the Broad Institute of Harvard and MIT. This group includes graduate students, post-doctoral scholars, clinical oncologists, surgeons, pathologists, geneticists and doctoral and entry level computational biologists and data scientists.
Related projects and responsibilities may include:
These projects are collaborative efforts between the Dana-Farber Cancer Institute and the Broad Institute, and the successful candidate will have appointments at both institutions.
These new data could help identify novel approaches for personalized care in pancreatic cancer treatment. In addition, this data may provide support for new methods in clinical decision-making, biomarkers for rational drug development, and new insights into tumor biology through innovative analyses. The person hired for this position will join the team and take a leading role in these computational biology efforts.
Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other groups as protected by law.