Located in Boston and the surrounding communities and affiliated with Harvard, 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.
The Department of Data Sciences at the Dana-Farber Cancer Institute (affiliated with several Harvard Schools) currently employs 47 PhD biostatisticians and bioinformaticians. The BCB Department seeks an experienced and highly motivated PhD biostatistician to engage collaboratively with investigators on basic science, animal model, and human research activities in multiple areas of adult oncology and HIV disease.
The Harvard T.H. Chan School of Public Health Biostatistics Department RA/RS track is a collaborative research track with ranks of Research Associate, Research Scientist, Senior Research Scientist, and Principal Research Scientist.
Job Responsibilities include, but are not limited to:
Collaborative work on study design, data analysis, and manusript preparation in HIV disease and adult oncology for laboratory, animal model, translational, clinical, epidemiologic, prevention, and outcomes research.
Statistical assistance to both junior and senior HIV and cancer investigators with NIH and Foundation grant proposals and progress reports.
PhD in statistics or a related field is required.
At least 2 years of collaborative experience are required.
Prior experience in HIV and/or oncology is a plus.
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.