Data Scientist, AI & Environmental Health Research

Harvard University FAS Human Resources; Cambridge (MA); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Parental leave

Tuition assistance

Retirement plans

Job summary

Harvard University seeks a Data Scientist to lead data science, software development, and technical product work for an interdisciplinary program focusing on data centers, AI infrastructure, and societal impacts.

You will translate research into scalable software, design analyses on large datasets, and co-lead studies from design to peer-reviewed publication. Hybrid work options available.

Qualifications

• PhD in AI, data science, CS, statistics, or closely related field.
• Minimum 5 years of combined education and relevant experience, including doctoral training.
• Proven record of original research in high-impact journals.

Responsibilities

• Lead data science and software development for multiple faculty-led projects.
• Co-lead interdisciplinary research from conception to publication.
• Develop production-quality research software and data platforms.
• Design analyses using large environmental, health, energy, and socioeconomic datasets.
• Mentor junior researchers and establish reproducible research practices.
• Communicate findings to academic, policy, industry, and public audiences.

Skills

Scientific programming

Data science

Statistical methods

Machine learning

Interdisciplinary collaboration

Research leadership

Education

PhD in AI / data science / CS / statistics / computational science / engineering

Tools

Python

R

SQL

Geospatial analysis tools

Job description

Harvard University seeks a Data Scientist to lead data science, software development, and technical product work for an interdisciplinary program focusing on data centers, AI infrastructure, and societal impacts.

You will translate research into scalable software, design analyses on large datasets, and co-lead studies from design to peer-reviewed publication. Hybrid work options available.