Dana-Farber Cancer Institute Research Fellow in Boston, Massachusetts
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:
Integrative data analyses of genome sequencing, bulk and single-cell RNA-sequencing, and drug sensitivity data from organoid models to define new treatment paradigms for pancreatic cancer patients.
Analysis of prospective clinical DNA and RNA sequencing to guide the care of cancer patients
Studies of drug sensitivity and resistance to existing and emerging cancer therapies using data from genomic and functional analysis of patient-derived samples
Studies of patient samples for tumor behavior and clinical outcomes
Integrative analyses of data from functional genetic screening (e.g. CRISPR-Cas9), protein-protein interaction studies (e.g. IP-Mass Spectrometry), and epigenetic profiling (e.g. Chromatin immunoprecipitation) to identify novel therapeutic targets.
Studies of cancer immunotherapies to develop predictors of response
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.
A PhD in bioinformatics, computer science, computational biology, or mathematics or physics with significant computational experience, together with significant research experience in computer programming and computational biologicy applications.
A strong background in statistics and biology. Experience managing and analyzing large datasets and with machine learning techniques desired.
Excellent oral and written communication skills and the ability to perform both self-directed and guided research are required.
Must demonstrate outstanding personal initiative and the ability to work effectively as part of a team.
Ability to work effectively and multi-task in a fast-paced, multi-disciplinary environment is a must.
Should be able to collaborate across a range of knowledge (e.g. effective communication with software developers and physicians)
Ability to seek out mentorship and assistance as needed, while also being a mentor to other members of the lab and the DFCI/Broad Institute community.
Experience in R and/or Python is preferred, with willingness to learn new languages and tools as the field grows (e.g. Github, Docker, WDL, and other emerging algorithms)
Job ID: 2019-13507
External Company URL: www.dana-farber.org