Programmer

Conditions. Workplace Diversity, LLC.; Boston (MA); On-site; USD 65,000 - 85,000; Full time

Benefits offered by this job

Generous paid time off

Medical, dental, and vision health insurance

Retirement plans with university contributions

Support for families and caregivers

Professional development opportunities

Job summary

Conditions. Workplace Diversity, LLC. seeks a Programmer for the National Studies on Air Pollution and Health group in Boston, MA. The role involves developing and maintaining data processing pipelines for various datasets while collaborating with research teams.

Successful candidates should possess strong skills in R, Python, SQL, and GitHub, and ideally hold a degree in a relevant field. This position offers generous benefits and focuses on diversity and inclusion.

Qualifications

• 2+ years post-secondary experience or equivalent work experience.
• Professional experience with software such as R, Python, SQL, and GitHub.

Responsibilities

• Assist with developing data processing pipelines and manage databases.
• Utilize R, Python, and SQL for data management tasks.
• Collaborate with IT to resolve cluster-related issues.

Skills

R

Python

SQL

GitHub

Data Management

Education

Bachelor’s or Master’s Degree in Statistics, Data Science, Computer Science, Mathematics, Informatics, or related health-data field

Tools

HPC computing

Job description

Job Summary

The Department of Biostatistics invites applications for a Programmer in the National Studies on Air Pollution and Health group. The role reports to Principal Research Scientist Dr. Danielle Braun and focuses on developing, deploying, and maintaining data processing pipelines for clinical, administrative, and environmental datasets.

Job‑Specific Responsibilities

• Assist with development and deployment of data cleaning, data processing pipelines, data management, and variable creation protocols for electronic health records, administrative claims data, environmental exposure data, and other complex databases using GitHub.
• Maintain databases using R, Python, and SQL in collaboration with the research team.
• Create and link customized databases and analytic datasets in UNIX environments.
• Develop and document software in R, Python, and SQL.
• Act as a resource for the Senior Programmer to debug code and access correct data.
• Use HPC computing clusters and collaborate with IT to resolve cluster‑related issues.
• Develop and refactor code for modular data processing pipelines, utilizing workflow languages and configuration managers.
• Perform data exploration to prepare datasets for environmental health research.
• Build deployable data products using containers for pipelines and dashboards.
• Support data cataloging via JSON‑based metadata schemas.
• Perform other duties as assigned.

This position has a one‑year term with the possibility of extension.

Shortlisted candidates will be required to submit work samples (sample code) and/or complete a coding assessment.

Basic Qualifications

• 2+ years post‑secondary experience, or an equivalent combination of education and work experience.
• Professional experience with R, Python, SQL, GitHub, and related software.

Additional Qualifications and Skills

• Preferred: Bachelor’s or Master’s Degree in Statistics, Data Science, Computer Science, Mathematics, Informatics, or a related health‑data field; a Master’s is strongly preferred.
• Knowledge of maintaining and supporting HPC cluster infrastructure.
• Effective written, verbal, and interpersonal communication skills, and strong time‑management skills.
• Organized with attention to detail and accuracy.
• Experience collaborating with all levels of a research team; demonstrated teamwork.
• Service‑oriented mindset and approach.
• Experience with version control for team development.
• Awareness of and aptitude to respect cultural and identity‑based differences in group settings.
• Commitment to social justice, diversity, equity, and inclusion.
• Skills related to fostering an inclusive environment, effective intercultural engagement, and personal humility and authenticity.
• Experience valuing unique experiences, cultures, backgrounds, and goals.

Additional Information

• Appointment End Date: One year from date of hire, with the possibility of extension.
• 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.
• Contains a 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.
• Well‑being 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 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.