Data Visualization and Analytics Specialist Displayr ExpertAmerican Association for Public Opinion Research • Cambridge, Massachusetts, United States
Data Visualization and Analytics Specialist Displayr Expert
American Association for Public Opinion Research
- Cambridge, Massachusetts, United States
- Cambridge, Massachusetts, United States
Über
Cambridge, Massachusetts, United States (on-site)
Company Description By working at Harvard University, you join a vibrant community that advances Harvard's world‑changing mission in meaningful ways, inspires innovation and collaboration, and builds skills and expertise. We are dedicated to creating a diverse and welcoming environment where everyone can thrive.
Why join the Harvard T.H. Chan School of Public Health? The Harvard T.H. Chan School of Public Health is a world‑renowned institution dedicated to advancing public health through cutting‑edge research, education, and global collaboration. Our school is a special place to work because of its vibrant, mission‑driven community, interdisciplinary approach, and commitment to addressing some of the most pressing health challenges worldwide. We foster a collaborative and inclusive work environment where innovation, continuous learning, and work‑life balance are valued.
Job Summary The Harvard Center for Population and Development Studies (HCPDS) is a university‑wide initiative dedicated to interdisciplinary research focused primarily on the quantitative social science of population change, socioeconomic development, and public health. Our goal is to produce population‑based evidence that will better inform policies needed to create healthy and resilient societies. HCPDS seeks 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 HIV treatment, public policies, social determinants of health, and health inequalities.
As Director, you will oversee research analyses for multiple papers, supervise data management processes including quality assurance and public‑use dataset development, contribute to study design and analytic strategy, and provide hands‑on support for manuscript development.
Job‑Specific Responsibilities
Lead and oversee research plans for papers related to project aims
Support and review manuscript development, including co‑authorship and contribution to scientific publications with coinvestigators
Supervise data management processes, including quality assurance protocols and public‑use dataset development to ensure consistency across outputs
Direct technical project activities, including analytic dataset production and data analysis
Oversee the public release of data and ensure timely and appropriate dissemination of research findings
Lead the identification and adoption of innovative statistical methods to address evolving analytic challenges and enhance the scientific impact of HAALSI outputs
Oversee and coordinate statistical and data management activities across projects to ensure alignment with study goals and timelines
Oversee the development of analytic tools and resources addressing key data challenges
Provide strategic oversight and guidance on statistical approaches across HAALSI projects, ensuring methodological rigor and alignment with study objectives
Review and advise on the selection and implementation of statistical methods, including complex longitudinal analyses and advanced modeling techniques, working closely with the Senior Statistical Analyst
Review statistical outputs, models, and results to ensure quality, reproducibility, and readiness for publication and reporting
Oversee the preparation of analytic datasets and ensure adherence to data management and documentation standards
Lead cross‑team coordination of analytic workflows and communication among investigators, data managers, and collaborators in the US and South Africa
Oversee progress on analytic deliverables and timelines across multiple analyses and studies
Provide direct supervision of the Senior Statistical Analyst and Data Manager, including direction on task prioritization, workflow, and project activities
Other duties as assigned
NOTE: This position has a term appointment ending May 31, 2027 with the possibility of extension. The position may require travel to South Africa up to twice a year.
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/compliancetid>il ink>• 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
90‑day orientation and review period
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.
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.
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Sprachkenntnisse
- English
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