Dana-Farber Cancer Institute Computational Biologist Vacancy
The Dana-Farber Cancer Institute seeks a Computational Biologist who will work in the Beltran laboratory. The successful candidate will work as a data scientist on the analysis of datasets generated from prostate cancer genome sequencing, RNA-sequencing, DNA methylation profiling and ChIPseq data, and drug sensitivity testing in order to help advance efforts for precision cancer medicine.
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.
Job Title: Computational Biologist, Beltran
Location:450 Brookline Ave, Boston, MA 02215
Category: Clinical Research
Employment Type: Full time
- Bachelor’s degree required. Master’s or Ph.D. in bioinformatics, computer science, or computational biology with significant computational experience, together with significant research experience in computer programming and computational biology applications highly preferred.
- A strong background in statistics and biology. Experience managing and analyzing large datasets 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.
- The ability to work effectively and multi-task in a fast-paced, multi-disciplinary environment is a must.
- Excellent oral and written communication skills with the ability to effectively 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 a willingness to learn new languages and tools as the field grows.
- Integrative data analyses of genome sequencing, RNA-sequencing, DNA methylation profiling and ChIPseq data and drug sensitivity testing from patient-derived preclinical models to define new treatment paradigms for advanced prostate cancer.
- 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, including cell-free DNA and DNA methylation, 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.
- This new data could help identify novel approaches for personalized care in prostate 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.
The qualified candidate will develop and implement integrative computational approaches to analyze sequencing data of patients and preclinical models to understand and co-target acquired mechanisms of therapy resistance in prostate cancer. 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 position may involve the supervision of associate computational biologists, graduate students, and clinical data management specialists to accomplish research goals. Opportunities for growth in developing multi-disciplinary teams that are project-oriented.
Dana-Farber Cancer Institute