Data Scientist

Company Description By working at Harvard University, you join a vibrant community that advances Harvard's world-changing mission in meaningful ways, inspires innovation and collaboration, and builds skills and expertise. We are dedicated to creating a diverse and welcoming environment where everyone can thrive.

Why join Harvard University Central Administration?

Harvard University's Central Administration (CADM) is a 5,000+ employee organization that supports the university's overall excellence by understanding and serving the needs of its schools, students, faculty, staff, alumni, and surrounding communities. Through dynamic and collaborative partnerships, CADM provides high-quality and efficient services to the schools to help them achieve their goals.

Job Description The Harvard Data Science Initiative seeks a Data Scientist to lead the data science, software development, and technical product work for an interdisciplinary research program focused on data centers, artificial-intelligence infrastructure, and their environmental, health, economic, and societal impacts.

Working closely with faculty investigators, research scientists, and domain experts, the Data Scientist will develop and translate original scientific research into rigorous analytical workflows, scalable research software, and accessible data products. The position will lead the technical development of these products while also co-leading the underlying research, from study design and analysis through peer-reviewed publication.

Job-Specific Responsibilities:

Core Responsibilities Lead the data science and software development of research products across multiple faculty-led  original research with faculty investigators and subject-matter experts, including the formulation of research questions, study design, analysis, interpretation, and publication.

Ensure that research software and data products are grounded in rigorous in-house scientific research and support the production of peer-reviewed publications.

Translate scientific objectives and research findings into technical requirements, analytical strategies, software architecture, and product roadmaps.

Design and implement statistical, machine-learning, and geospatial analyses using large environmental, health, energy, infrastructure, and socioeconomic datasets.

Lead the development and maintenance of data pipelines, databases, research software, APIs, interactive platforms, and decision-support tools.

Make technical decisions related to architecture, scalability, testing, documentation, reproducibility, deployment, and data governance.

Lead and contribute to scientific manuscripts, grant proposals, technical reports, conference presentations, and other academic outputs.

Coordinate technical contributors, mentor junior researchers, and establish best practices for scientific programming and reproducible research.

Communicate research findings and product capabilities to academic, policy, industry, and public audiences.

This is a benefits-eligible, one-year term appointment with possibility of extension, contingent on funding and performance.

Working Conditions:

Occasionally required to work outside of normal business hours and may be contacted during off hours

Qualifications

Basic Qualifications are the minimum requirements a candidate must meet to be considered for this role.

PhD in artificial intelligence, data science, computer science, statistics, computational science, engineering, environmental health, epidemiology, or a closely related field.

Minimum of 5 years of combined advanced education and relevant professional or research experience, including doctoral training.

Additional

Qualifications and Skills:

Established record of substantive original research published in…