Research Scientist - HSPH

Dana-Farber Cancer Institute; Boston (MA); On-site; USD 145,000 - 162,000; Full time

Job summary

Dana-Farber Cancer Institute in Boston is seeking a Research Scientist in the Department of Data Science. The role involves conducting independent research and managing research projects in collaboration with experts in various fields such as biostatistics and machine learning. Applicants should have a doctoral degree and at least two years of postdoctoral experience. The hiring range is $145,000 - $162,000, reflecting market-based structures. We promote an inclusive and diverse work environment.

Qualifications

• Minimum two years of postdoctoral experience.
• Evidence of ability to excel in research.
• Major contributor to refereed publications, beyond thesis papers.

Responsibilities

• Conduct research as an independent investigator or lead research projects.
• Present results and prepare publications; supervise research staff.

Skills

Biostatistics

Machine Learning

Computational Biology

Leadership in scientific administration

Education

Doctoral degree in biostatistics, machine learning, or computational biology

Job description

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 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 and to promote public health, particularly among high-risk and underserved populations. The position is 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 a non-tenure track faculty position with a salary comparable 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 Department of Data Science at the Dana-Farber Cancer Institute offers an exceptional collaborative environment with experts in clinical trials, cancer genetics, immunology, epigenetics, machine learning, statistical software development, Bayesian methods, and alignment algorithms.

Roles and Responsibilities

• Conduct research as an independent investigator or lead research projects, for example as a senior analyst, presenting results and preparing publications; collaborate with external researchers or supervise research staff.
• 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 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. If working in this kind of organization inspires you, we encourage you to apply.

Equal Opportunity

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 and Benefits

Pay transparency statement: The hiring range is $145,000.00 - $162,000.00. The hiring range is based on market pay structures, with individual salaries determined by factors such as business needs, market conditions, internal equity, and the candidate’s relevant experience, skills, and qualifications. For union positions, the pay range is determined by the Collective Bargaining Agreement (CBA).