Job Listings
Postdoctoral Fellow in Statistics
Cambridge, MA
| Type: | Full-Time |
| Posted: | 02/22/2026 |
| Salary: | $67,600 - $80,000 per year |
School: Faculty of Arts and Sciences
Department/Area: Statistics
Position Description
The Department of Statistics invites applications for a Postdoctoral Fellow with Professor Samuel Kou. Professor Kou's group focuses on research in statistical modeling and stochastic inference in protein folding, biology, chemistry and medicine, Bayesian inference, machine learning and AI, statistical computing, big data and AI applications and prediction in biology, medicine and infectious diseases.
Potential research projects include (but are not limited to) statistical modeling in protein folding, neurobiology, role of synthetic data in statistical analysis, machine learning and AI methods, causal inference in biomedical data.
The appointment will be for up to three years with annual renewal based on satisfactory performance and continued availability of funding.
Basic Qualifications
Ph.D. in Statistics, Biostatistics, Computer Science, Mathematics, or directly related field at time of appointment is required.
Additional Qualifications
The successful applicant will be expected to have a solid statistical background, research experiences showing independence and innovation, and demonstrated academic writing skills.
Special Instructions
Please upload the following application materials: cover letter, curriculum vitae, statement of research experience and interests, names of/contact information for two recommendation letter writers, and up to two representative publications. The position will remain open until filled, and start date is flexible.
Contact Information
Professor Samuel Kou
Department of Statistics
Harvard University
Maxwell Dworkin 251
33 Oxford St
Cambridge, MA 02138
Contact Email: kou@stat.harvard.edu
Salary Range
$67,600-$80,000
Pay offered to the selected candidate is dependent on factors such as years of experience, training or qualification, field of scholarship, and accomplishments in the field.
Minimum Number of References Required: 2
Maximum Number of References Allowed: 2
Department/Area: Statistics
Position Description
The Department of Statistics invites applications for a Postdoctoral Fellow with Professor Samuel Kou. Professor Kou's group focuses on research in statistical modeling and stochastic inference in protein folding, biology, chemistry and medicine, Bayesian inference, machine learning and AI, statistical computing, big data and AI applications and prediction in biology, medicine and infectious diseases.
Potential research projects include (but are not limited to) statistical modeling in protein folding, neurobiology, role of synthetic data in statistical analysis, machine learning and AI methods, causal inference in biomedical data.
The appointment will be for up to three years with annual renewal based on satisfactory performance and continued availability of funding.
Basic Qualifications
Ph.D. in Statistics, Biostatistics, Computer Science, Mathematics, or directly related field at time of appointment is required.
Additional Qualifications
The successful applicant will be expected to have a solid statistical background, research experiences showing independence and innovation, and demonstrated academic writing skills.
Special Instructions
Please upload the following application materials: cover letter, curriculum vitae, statement of research experience and interests, names of/contact information for two recommendation letter writers, and up to two representative publications. The position will remain open until filled, and start date is flexible.
Contact Information
Professor Samuel Kou
Department of Statistics
Harvard University
Maxwell Dworkin 251
33 Oxford St
Cambridge, MA 02138
Contact Email: kou@stat.harvard.edu
Salary Range
$67,600-$80,000
Pay offered to the selected candidate is dependent on factors such as years of experience, training or qualification, field of scholarship, and accomplishments in the field.
Minimum Number of References Required: 2
Maximum Number of References Allowed: 2
