Assistant/Associate Professor of Biostatistics and Data Science

Title Assistant/Associate Professor of Biostatistics and Data Science School Harvard T.H. Chan School of Public Health Department/Area Biostatistics/Data Science Position Description

The Departments of Biostatistics at the Harvard T.H. Chan School of Public Health and Data Science at the Dana-Farber Cancer Institute provide exceptional environments to pursue research and education in quantitative methods, while leading global efforts to improve the health of individuals and populations. Faculty members work closely together across the two departments, and joint appointments are common. Our faculty are experts in a wide range of statistical and computational biology areas, and applied research is facilitated through collaborations with researchers in public health, medicine, and related fields. Ample opportunities exist for collaboration with biomedical researchers at Harvard-affiliated hospitals, within the Harvard schools, The Broad Institute, and MIT.

The Department of Data Science at the Dana-Farber Cancer Institute (DFCI) and the Department of Biostatistics at the Harvard T.H. Chan School of Public Health (HSPH) seek candidates to fill a tenure-track faculty position at the Assistant or Associate Professor level in the field of statistics or machine learning, with demonstrated interest in single-cell or spatial genomics applications. This faculty member will have a unique opportunity to collaborate with basic scientists and biomedical researchers at DFCI, particularly those generating data using single-cell or spatial technologies as part of their research, as well as with faculty across Harvard and its affiliates. Because the position carries an appointment at HSPH, they will be expected to participate fully in departmental and school activities, including teaching graduate-level courses and mentoring students and postdoctoral fellows.

The faculty member will hold a primary appointment in the Department of Data Science at DFCI, and a faculty appointment in the Department of Biostatistics at HSPH. Resources will be provided to support the development of a research team, including postdoctoral fellows and graduate students.

Basic Qualifications

Qualified applicants will have a doctoral degree in biostatistics, statistics, computer science, computational biology, or a related field. Candidates must have completed their doctoral degree prior to the start date of the position.

Additional Qualifications

The candidate should exhibit strong interest in single-cell or spatial genomics applications and should be enthusiastic about teaching and training through graduate programs. The candidate should also possess the ability to work collaboratively with other scientists within the Biostatistics Department and should espouse the scholarly qualities required to teach and mentor doctoral students. Candidates should be committed to building an institutional culture that respects and builds upon our many differences. These principles of citizenship are respect, integrity, collegiality, and commitment to a more supportive and sustainable world.

Special Instructions

Applications will be reviewed on a rolling basis but must be submitted by 10/31/2026. Four references and two publications will be requested of candidates applying at the Assistant Professor level. Six references and five publications will be requested of candidates applying at the Associate Professor level.

For guidance on the Service Statement, one of the required application documents, click to learn more about the Harvard Chan School  Principles of Citizenship .  The following topic areas may help frame and organize statements but are not meant as a template as there is no strict checklist of requirements. Rather, statements should directly reflect the specific past efforts and sincere future plans of each candidate:

• Citizenship : How do you see the School’s Principles of Citizenship as aligning with and/or informing your work (or potential work) as a faculty member?
• Service : Describe the kinds of service, leadership, and/or community building activities you have engaged in (or plan to) as a faculty member and explain how they relate to your own career development and professional objectives.
• Mentorship and Pedagogy : How have you (or will you in the future) ensure a nurturing learning, training, and mentoring environment for all students and early-career researchers and peers?
• Research and Scholarship : How do you see your research goals and other professional activities as contributing to a broader vision of public health impact and efficacy?

Contact Information

Shanyce Hanson

Contact Email View email address on nature.com Salary Range

Assistant Professor rank: $154k-$180k
Associate Professor rank: $200k-$249k

Minimum Number of References Required 4 Maximum Number of References Allowed 6 Keywords

biostatistics; machine learning; statistics; computational biology; genomics

EEO/Non-Discrimination Commitment Statement

Harvard University is committed to equal opportunity and non-discrimination. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard’s academic purposes.

Harvard has an  equal employment opportunity policy that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the university’s  non-discrimination policy . Harvard’s equal employment opportunity policy and non-discrimination policy help all community members participate fully in work and campus life free from harassment and discrimination.

Supplemental Questions

Required fields are indicated with an asterisk (*).

Applicant Documents

Required Documents

1. Curriculum Vitae
2. Cover Letter
3. Statement of Research
4. Publication
5. Publication 2
6. Service Statement

Optional Documents

1. Publication 3
2. Publication 4
3. Publication 5
4. Other