Hybrid R Programmer II — Biostatistics in AIDS Research

Harvard University; Boston (MA); Hybrid; USD 90,000 - 120,000; Full time

Benefits offered by this job

Hybrid work environment

Generous paid time off

Medical, dental, and vision insurance

Retirement plans

Tuition assistance

Commuter benefits

Job summary

Harvard University’s Center for Biostatistics in AIDS Research (CBAR) in Boston seeks a Programmer II. You will develop and maintain R-based analyses, translate SAS into R, and collaborate with statisticians and researchers to enhance CBAR systems and workflows in a hybrid work setting.

The role emphasizes data manipulation, package development, and adherence to CDISC standards while mentoring teammates and exploring emerging AI techniques to improve programming processes.

Qualifications

• 2+ years post‑secondary experience required, or combination of education and/or relevant work experience.
• Experience in R programming and/or R package development required.
• Bachelor's Degree in a quantitative or scientific field such as mathematics or computer science.
• Experience designing, developing, testing, documenting, and maintaining R functions or packages.
• Experience with CDISC standards is desirable but not required.

Responsibilities

• Develop, maintain, and enhance reusable R programs, R packages, Bash programs, prepare analysis datasets, and produce professional graphics.
• Translate SAS macros into validated, well‑documented R functions and packages.
• Mentor programming personnel and collaborate with researchers to apply AI technologies.

Skills

R programming

R package development

SAS

BASH

Linux

Data cleaning

Communication skills

Education

Bachelor's Degree in a quantitative field

Tools

tidyverse

pharmaverse

CDISC

RStudio

Job description

Harvard University’s Center for Biostatistics in AIDS Research (CBAR) in Boston seeks a Programmer II. You will develop and maintain R-based analyses, translate SAS into R, and collaborate with statisticians and researchers to enhance CBAR systems and workflows in a hybrid work setting.

The role emphasizes data manipulation, package development, and adherence to CDISC standards while mentoring teammates and exploring emerging AI techniques to improve programming processes.