Computational Post-doc Dana Farber Cancer Institute Boston, MA Full Time
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
A computational biology postdoctoral fellow position is available in the laboratory of Dr. Srinivas Viswanathan (https://viswanathanlab.dana-farber.org). The fellow will receive co-mentorship from Dr. Cheng-Zhong Zhang (https://dbmi.hms.harvard.edu/people/cheng-zhong-zhang) at Dana-Farber Cancer Institute (with affiliation to the Broad Institute).
The position will involve analysis of single-cell RNA sequencing data and/or whole genome sequencing data in genitourinary cancers. There will be an opportunity to develop and deploy innovative computational and statistical data analysis methods to understand how structural variation remodels the transcriptome in cancer.
The Viswanathan lab uses genomic and large-scale functional genetic technologies to understand the molecular mechanisms that drive genitourinary malignancies, particularly prostate and kidney cancers.
We are seeking a candidate who is exceptionally motivated, creative, highly collegial, and excited about scientific discovery. The candidate is expected to lead pioneering research using single-cell and bulk genomics (DNA, RNA, Hi-C) to interrogate the relationship between genetic alterations, chromatin reorganization, and transcriptional dysregulation. As the candidate will be jointly mentored between laboratories with both computational and experimental expertise, there will be the unique prospect to make discoveries at the interface of genomics and cellular biology and ample opportunities to work closely with computational and experimental colleagues and with biological and clinical collaborators. The candidate should be excited by the prospect of translating basic findings into novel therapeutic strategies for patients with cancer.
- PhD or MD/PhD with graduate degree in computational genomics, chromatin biology, biophysics, or in a quantitative discipline (math, physics, engineering, computer science etc.) with a strong interest in chromatin biology and cancer biology; candidates whose doctoral research includes both experimental and computational work will also be considered
- Understand and be able to translate scientific questions into concrete computational approaches
- Experience with algorithmic development or scientific computing; Proficiency with at least one programming language (Java, C/C++, Python) and scientific computing language (R, Matlab, etc.)
- Excellent interpersonal skills and self-motivation, eager to interact with multidisciplinary colleagues including experimental biologists in a fast-paced environment
- Strong interest in developing bespoke analytical methods to derive biological insight from single cell and bulk DNA, RNA, and epigenome sequencing data
- Cancer biology and genomics
- Knowledge of next-generation sequencing data analysis
- Data visualization
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.