Director of Data and Analytics

Job Summary The Harvard Center for Population and Development Studies (HCPDS) is a university-wide initiative dedicated to interdisciplinary research focused on population change, socioeconomic development, and public health. The HCPDS is seeking a full-time, experienced Director of Data and Analytics to serve on its NIH‑funded study, Health and Aging in Africa: Longitudinal Studies in South Africa (HAALSA). HAALSA explores aging in South Africa, focusing on cognitive health, cardiometabolic disease, HIV and treatment, public policies, social determinants of health, and health inequalities. The Director will oversee research analyses for multiple papers related to the study’s aims, supervise data management processes, and provide hands‑on support for manuscript development. Job‑Specific Responsibilities Leads and oversees research plans for papers related to project aims Supports and reviews manuscript development, including co‑authorship and contribution to scientific publications with co‑investigators Supervises data management processes, including quality assurance protocols and public‑use dataset development to ensure consistency across outputs Directs technical project activities, including analytic dataset production and data analysis Oversees the public release of data and ensures timely and appropriate dissemination of research findings Leads the identification and adoption of innovative statistical methods to address evolving analytic challenges and enhance the scientific impact of HAALSA outputs Oversees and coordinates statistical and data management activities across projects to ensure alignment with study goals and timelines Oversees the development of analytic tools and resources addressing key data challenges Provides strategic oversight and guidance on statistical approaches across HAALSA projects, ensuring methodological rigor and alignment with study objectives Reviews and advises on the selection and implementation of statistical methods, including complex longitudinal analyses and advanced modelling techniques, in collaboration with the Senior Statistical Analyst Reviews statistical outputs, models, and results to ensure quality, reproducibility, and readiness for publication and reporting Oversees the preparation of analytic datasets and ensures adherence to data management and documentation standards Leads cross‑team coordination of analytic workflows and communication among investigators, data managers, and collaborators in the US and South Africa Oversees progress on analytic deliverables and timelines across multiple analyses and studies Provides direct supervision of the Senior Statistical Analyst and Data Manager, including direction on task prioritization, workflow, and project activities Other duties as assigned Basic Qualifications Master’s Degree in Biostatistics, Statistics, or a closely‑related field 5+ years of related experience Experience with statistical software such as SAS, R, Stata, etc. Additional Qualifications and Skills Master’s degree or higher in epidemiology, biostatistics, public health, or related field with two or more years of post‑doctoral training/experience preferred Doctoral level degree a plus Prior experience with longitudinal observational studies Experience managing budgets Experience working on NIH studies Experience with IRB protocol preparation/compliance Prior capacity building experience Experience with US Health and Retirement Survey or sister study (with longitudinal data) Experience and/or strong interest in low‑income, low‑literacy settings Experience managing or contributing to longitudinal observational research studies, including primary data collection and cohort‑based research Experience supporting NIH‑funded research and IRB protocol preparation/compliance Experience working with health‑related research in low‑ and middle‑income countries, including field‑based research, medical record data, or longitudinal cohort studies Experience with large‑scale longitudinal datasets such as the Health and Retirement Study (HRS) or related international sister studies Experience developing survey instruments and working with computer‑assisted personal interviewing (CAPI) systems Strong analytical skills and proficiency with statistical software such as Stata, SAS, and/or R Record of scholarly publications and research dissemination Additional Information Appointment End Date: May 31, 2027 Standard Hours/Schedule: 35 hours per week Visa Sponsorship Information: Harvard University is unable to provide visa sponsorship for this position Pre‑Employment Screening: Identity, Education, Criminal Work Format Details This position has been determined by school or unit leaders that some of the duties and responsibilities can be effectively performed at a non‑Harvard location. The work schedule and location will be set by the department at its discretion and based upon operational needs. When not working at a Harvard or Harvard‑designated location, employees in hybrid positions must work in a Harvard registered state in compliance with the University’s Policy on Employment Outside of Massachusetts. Additional details will be discussed during the interview process. Certain visa types and funding sources may limit work location. Individuals must meet work location sponsorship requirements prior to employment. Salary Grade and Ranges This position is salary grade level 058. The corresponding salary range and related information are available on Harvard’s Salary Ranges. Benefits Generous paid time off including parental leave Medical, dental, and vision health insurance coverage starting on day one Retirement plans with university contributions Wellbeing and mental health resources Support for families and caregivers Professional development opportunities including tuition assistance and reimbursement Commuter benefits, discounts and campus perks 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. #J-18808-Ljbffr Harvard Medical School