A post-doctoral position is available in the statistical genetics research group of Dr. Alexander (Sasha) Gusev, Assistant Professor at the Dana-Farber Cancer Institute and the Brigham & Women's Division of Genetics. The fellow will work closely with Dr. Gusev, and with collaborators at the Dana-Farber Cancer Institute, Harvard Medical School, and The Broad Institute. The lab (http://www.gusevlab.org) focuses on developing computational methods to understand the heritable component of cancer and common diseases by leveraging large-scale data. Our research interests include (but are not limited to): (1) developing methods to integrate multi-modal molecular data (ex: bulk and single-cell gene expression / chromatin activity) with large-scale association studies to decipher disease mechanisms; (2) using large-scale tumor sequencing studies to understand the relationship between heritable/germline and somatic variation in cancer; (3) incorporating germline/somatic variation into predictive models of clinical outcomes including therapy response and toxicity.
The position offers a hybrid schedule.??
Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals.
The fellow will have the opportunity to work with large-scale tumor/germline sequencing studies and electronic health record data available in-house and through many collaborations. Though the lab's focus is on statistical/quantitative methods, we collaborate broadly with experimentalist groups to validate and inform our hypotheses. Successful applicants will have the opportunity to design their own projects relating to these and other concepts, with the primary expectation being productive science and impactful manuscripts in research topics that are of interest to the fellow.
Candidates should have a doctoral degree in genetics, functional genomics, computer science, statistics, bioinformatics, computational biology, or a related quantitative research field; strong quantitative skills including proficiency in at least one programming language; a publication record. Knowledge of complex trait mapping, regulatory biology, clinical genetics, or population genetics is a plus. Statistically or computationally minded applicants without direct experience in cancer genetics are welcome to apply.
At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong.?? As relentless as we are in our mission to reduce the burden of cancer for all, we are equally committed to diversifying our faculty and staff.?? Cancer knows no boundaries and when it comes to hiring the most dedicated and diverse professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply.
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.
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 under-served members of our community; and we work with amazing partners, including other Harvard Medical School-affiliated hospitals.