Computational Biologist, Beltran

Employer
Dana Farber Cancer Institute
Location
Boston, Massachusetts, US
Salary
Competitive
Posted
Jul 07, 2021
Closes
Aug 01, 2021
Ref
2348116543
Discipline
Statistics
Employment Type
Full time
Salary Type
Salary
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.

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.

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.

Requirements

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.

This position may involve 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.

Qualifications

Bachelor's degree required. Master's or PhD 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.
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 willingness to learn new languages and tools as the field grows.

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.

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