Research Scientist - HSPH

Overview

The Department of Data Science at the Dana-Farber Cancer Institute (DFCI) seeks candidates with a strong background in biostatistics, machine learning, and/or computational biology to collaborate with researchers at the Hale Family Center for Pancreatic Cancer Research.

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 Department of Data Science at the Dana-Farber Cancer Institute (DFCI) seeks candidates with a strong background in biostatistics, machine learning, and/or computational biology to collaborate with researchers at the Hale Family Center for Pancreatic Cancer Research. The successful candidate will have a unique opportunity to collaborate with basic scientists, clinical and biomedical researchers at DFCI, as well as with faculty across Harvard. The position will be based in the Department of Data Science at DFCI with a Research Scientist track appointment in the Department of Biostatistics at the Harvard T.H. Chan School of Public Health. This is considered a non-tenure track faculty position at DFCI and provides a salary similar to tenure track faculty, independence to choose projects, grant submission support, and the opportunity to hire and supervise a research team. The position also permits seeking external and internal funding for independent projects.

The at the Dana-Farber Cancer Institute offers an exceptional collaborative environment with experts in a wide range of areas, including clinical trials, cancer genetics, immunology, epigenetics, machine learning, statistical software development, Bayesian methods, and alignment algorithms.

Roles and Responsibilities

Conducts research as an independent investigator or plays a leadership role in research projects, for example, as a senior analyst in one or more research projects, presenting results and preparing publications; collaborating with external researchers or supervising research staff. Generally, research scientists aspire to a career as a professional researcher or research manager.

Qualifications

· Doctoral degree in biostatistics, machine learning, or computational biology

· Minimum two years of postdoctoral experience

· Evidence of ability to excel in research

· Major contributor to refereed publications, beyond thesis papers

· Evidence of leadership in scientific administration, including the supervision of research staff

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 committed to having faculty and staff who offer multifaceted experiences. Cancer knows no boundaries and when it comes to hiring the most dedicated and compassionate 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 characteristics protected by law.

Pay Transparency Statement

The hiring range is based on market pay structures, with individual salaries determined by factors such as business needs, market conditions, internal equity, and based on the candidate’s relevant experience, skills and qualifications.

For union positions, the pay range is determined by the Collective Bargaining Agreement (CBA).