Overview
The Dana-Farber Cancer Institute's Department of Data Science is seeking a Director of Training and
Education, a fully funded position. The successful candidate will be responsible for developing training curricula
for a team of master's-level statisticians and computational biologists, including topics related to clinical trials,
statistical modeling and inference, and genomics analysis. They will also create a continuing education program,
online resources, and teach workshops. Qualifications include a PhD in biostatistics, statistics, or related fields,
with a focus on, or willingness to learn computational biology. The department encourages research
collaborations, and although the position is fully funded, the department will facilitate relevant research
collaborations as desired. Interested candidates can apply via the provided link below.
The Director of Training and Education will additionally hold a dependent lecturer appointment at the Harvard
T.H. Chan School of Public Health in the Department of Biostatistics. This Harvard faculty appointment will enable
participation in classroom teaching and advising activities at the School, as well any other relevant departmental
and School initiatives, as appropriate.
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.
Responsibilities
The successful candidate will:
• Develop training curricula for a collaborative team: a group of 40-50 masters-level statisticians and
computational biologists who collaborate with investigators across the institute. Topics will include clinical
trials design, monitoring and analysis; observational study design, biases and analysis methods; survival
analysis; genomics analysis; relevant topics in statistical inference, linear models, and reproducible research.
The curricula will be composed of both theory and implementation in modern computing environments.
[NOTE: Although some level of proficiency is required for a subset of the topics listed above, expert
knowledge of all is not required. The curricula will be developed in collaboration with our faculty and we will
provide time and resources for the person in this position to learn new application areas.]
• Develop a continuing education program that expands the training curricula to tutorials on more advanced
methods and their implementation particularly relevant to oncology research, and to introductory overviews
of novel study designs and methods.
• Create an online infrastructure of searchable enduring materials developed from this curriculum. Preferably
on GitHub.
• Teach weekly in person workshop/journal club to our biostatistics and computational biology collaborative
team.
• Teach quarterly in person workshops on topics related to fundamentals of research design and basic data
analysis for clinicians and scientists outside of our department; and facilitate ad hoc requests for training
lectures from outside of our department. [NOTE: Experience or willingness to teach hybrid or remote
workshops is expected.]
• Help onboard PhD students and postdoctoral fellows joining research groups in our department.
• Teach one course annually in the Department of Biostatistics at the Harvard T.H. Chan School of Public
Health and, as appropriate/desired engage in student advising and/or other departmental or School
activities
Qualifications
Candidates must have a PhD (or equivalent) in biostatistics, statistics, or a related field and an
interest in computational biology. Candidates should have demonstrated potential for excellence in teaching
Biostatistics and/or Statistics at the university level.
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 characteristics protected by law.
