Director of Data & Analytics for HAALSA Health Aging Study

Harvard University

Massachusetts

Hybride

USD 90 000 - 130 000

Plein temps

14 jours+

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Avantages offerts par ce poste

Generous paid time off including parental leave
Medical, dental, and vision health insurance coverage starting on day one
Retirement plans with university contributions
Professional development opportunities including tuition assistance

Résumé du poste

The Harvard Medical School is looking for a full-time Director of Data and Analytics within the HCPDS. The role entails overseeing research analyses and data management for the NIH-funded study on Health and Aging in Africa.

The ideal candidate will have a strong background in biostatistics and related fields, along with extensive experience in managing data and analytics in research settings. A commitment to methodological rigor and the ability to supervise a team are essential for this role.

Qualifications

  • 5+ years of related experience.
  • Experience managing or contributing to longitudinal observational research studies.
  • Experience supporting NIH-funded research and IRB protocol preparation/compliance.

Responsabilités

  • Leads and oversees research plans for papers related to project aims.
  • Supervises data management processes, including quality assurance protocols.
  • Oversees the public release of data and ensures timely dissemination of research findings.

Connaissances

Statistical software such as SAS
Statistical software such as R
Statistical software such as Stata
Strong analytical skills

Formation

Master’s Degree in Biostatistics, Statistics, or related field
Doctoral level degree

Description du poste

The Harvard Medical School is looking for a full-time Director of Data and Analytics within the HCPDS. The role entails overseeing research analyses and data management for the NIH-funded study on Health and Aging in Africa.

The ideal candidate will have a strong background in biostatistics and related fields, along with extensive experience in managing data and analytics in research settings. A commitment to methodological rigor and the ability to supervise a team are essential for this role.

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