_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._ _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_ _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. **EEOC Poster**