Research Scientist - HSPH
Dana-Farber Cancer Institute, Boston, MA, United States
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).
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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).
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