Director of Statistical Programming & AI Applications

Harvard University FAS Human Resources

Boston (MA)

Ibrido

USD 150.000 - 190.000

Tempo pieno

14 giorni+
Generatore di candidature

Una candidatura completa in un minuto — curriculum e lettera di presentazione personalizzati, pronti da inviare.

Supera i filtri ATS

Vantaggi offerti da questo lavoro

Parental leave
Medical, dental, and vision insurance
Retirement plans

Descrizione del lavoro

Harvard T.H. Chan School of Public Health’s Center for Biostatistics in AIDS Research (CBAR) seeks an Associate Director of Statistical Programming to lead programming efforts for ACTG/IMPAACT networks in a hybrid on-site/remote environment in Boston, MA.

Ideal candidates have seven+ years in statistical programming, strong SAS/R skills, and a proven leadership record. You will mentor senior staff, shape CDISC standards, and collaborate across internal and external teams.

Competenze

  • Minimum seven years of education or relevant work experience in a statistics/programming role.

Mansioni

  • Signatory for CBAR Programming SOPs and CAPA management.
  • Lead Programming Core priorities, resource allocation, and requirements review.
  • Supervise programming managers and senior Core staff.
  • Partner with CBAR IT for testing during updates.
  • Coordinate with ACTG/IMPAACT Data Management Center for harmonization.
  • Support external collaborators with secure data transfer.
  • Oversee training needs with the CBAR Training Committee.
  • Perform high-level programming across SAS, R, Bash, Python.

Conoscenze

Leadership
Supervisory experience
Strategic planning
Communication skills
Problem solving
Team collaboration
Project management
Quality assurance

Formazione

Bachelor’s or Master’s Degree in Mathematics, Statistics, Computer Science

Strumenti

SAS
R
Bash
Linux
Python

Descrizione del lavoro

Harvard T.H. Chan School of Public Health’s Center for Biostatistics in AIDS Research (CBAR) seeks an Associate Director of Statistical Programming to lead programming efforts for ACTG/IMPAACT networks in a hybrid on-site/remote environment in Boston, MA.

Ideal candidates have seven+ years in statistical programming, strong SAS/R skills, and a proven leadership record. You will mentor senior staff, shape CDISC standards, and collaborate across internal and external teams.

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