Harvard University
Title: Senior Lecturer in Statistics
School: Faculty of Arts and Sciences
Department_Area: Statistics
Position Description: The Department of Statistics seeks to appoint a Senior Lecturer in Statistics. The appointment is expected to begin on July 1, 2026. The senior lecturer will be responsible for teaching three courses over the academic year, advising undergraduate senior theses, providing academic and career advice to students, coordinating undergraduate departmental events, and helping to administer the undergraduate curriculum. The position is for five years and renewable contingent upon review and approval of the divisional dean.
Basic Qualifications: Doctorate or terminal degree in statistics or related discipline required by the time the appointment begins.
Additional Qualifications: Senior Lecturers must have demonstrated an exceptional teaching record and must meet one of the following sets of criteria. Ordinarily, they have either:
- Demonstrated that they are exceptional teachers and have taught within the tenured associate or full professor ranks at a university or peer undergraduate institution, with a commensurate scholarly record. Or,
2. Demonstrated a record of national leadership in innovation in pedagogy, with outstanding promise of continuing contribution, and in addition are exceptional teachers.
Special Instructions: Please submit the following materials through the ARIeS portal (
https://academicpositions.harvard.edu). Candidates are encouraged to apply by October 31, 2025 . Applications will be reviewed until the position is filled.
1. Cover letter.
2. Curriculum Vitae.
3. Teaching/advising statement (describing the candidate's teaching philosophy and practices as well as their approach to creating a learning environment in which every student is encouraged to ask questions and share their ideas).
4. Teaching and advising materials (e.g., teaching chart listing courses taught in reverse chronological order [please indicate which, if any, courses were taught remotely, whether partially or in full, due to the COVID -19 pandemic]; representative syllabi; teaching evaluations; list of undergraduate students for whom the candidate has primary advising responsibility).
4.
One of the following statements: Research statement, or statement expanding on demonstrated record of national leadership in innovation in pedagogy.
5. Service statement describing efforts to strengthen academic communities (e.g., the candidate's department, institution, and/or professional societies).
6. Names and contact information of 3 referees, who will be asked by a system-generated email to upload a letter of recommendation once the candidate's application has been submitted. Three letters of recommendation are required, and the application is considered complete only when at least three letters have been received.
Contact Information: Xihong Lin, Chair of the Department of Statistics, Professor of Biostatistics, Department of Statistics, xlin@hsph.harvard.edu
Contact Email: xlin@hsph.harvard.edu
Equal Opportunity Employer: 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, sex, ethnicity, color, national origin, 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.
Minimum Number of References Required: 3
Maximum Number of References Allowed: 8
Keywords: faculty, instructor, lecturer, statistics, data science Cambridge, Massachusetts, New England
Supplemental Questions: Required fields are indicated with an asterisk (*).
Equal employment opportunity, including veterans and individuals with disabilities.
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