Project Data Scientist (Grant Funded, Time Limited)

Position Details

Position Information

About Hofstra

Hofstra University is nationally ranked and recognized as Long Island's largest private university located in Hempstead, N.Y. When you work at Hofstra, you join a team of talented professionals committed to preparing students for the challenges of tomorrow, in an environment that cultivates learning through the free and open exchange of ideas for the betterment of humankind. The work we do at Hofstra supports the education and well-being of our students, and the workforce of the future. While working towards this mission, employees can take advantage of many enriching experiences on campus. Whether it's a lunchtime lecture, a Division I NCAA athletics game, a musical concert, a theatre performance, or a visit to one of our two accredited museums, there is always something exciting to do at Hofstra. Enjoy the ease of going to the fitness center, taking a swim, or grabbing a bite to eat without having to leave our beautiful campus! Hofstra University is dedicated to recruiting and retaining a highly qualified and diverse academic community of students, faculty, staff, and administrators respectful of the contributions and dignity of each of its members. We welcome applications from individuals of all backgrounds and experiences and are committed to building a diverse and inclusive community.

Position Title Project Data Scientist (Grant Funded, Time Limited) Position Number 896283 Position Category Administration School/Division School of Engineering Department Full-Time or Part-Time Full-Time Description

The Project Data Scientist supports an NSF‑funded research project focused on developing and analyzing a biomedical knowledge graph, integrating FDA regulatory data, ClinicalTrials.gov records, and medical device design and simulation data. The position involves data ingestion, transformation, analysis, and deployment of computational workflows that support knowledge graph construction, AI‑assisted querying, and interdisciplinary biomedical research. This is a full‑time, grant‑funded, time‑limited position.

Responsibilities include, but are not limited to:

• Develops and maintains data pipelines to ingest, clean, and integrate data from FDA databases, ClinicalTrials.gov, and internal research datasets.
• Transforms structured and semi‑structured biomedical data into machine‑readable formats (RDF/Turtle, JSON‑LD) for knowledge graph construction.
• Implements, tests, and optimizes SPARQL queries and analytics using semantic web technologies such as Apache Jena.
• Supports deployment and maintenance of project applications on virtual machines and containerized environments (Docker), in collaboration with systems administration personnel.
• Assists with data validation, quality assurance, and documentation of computational workflows.
• Collaborates with faculty, students, and external research partners on data science and knowledge graph-related research tasks.
• Contributes to technical documentation, progress reports, and dissemination materials required by the funding agency.
• Performs other related duties as assigned.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Engineering, or a closely related field.
• 0-1 year of relevant experience, or equivalent academic, research, or project‑based experience.
• Demonstrated experience with data analysis, data pipelines, or software development.
• Proficiency in at least one programming language such as Python.
• Experience working with structured datasets (CSV, JSON).
• Ability to work independently and collaboratively in a research environment.

Preferred Qualifications

• Master's degree in Computer Science, Data Science, Engineering, or a related discipline.
• Experience with knowledge graphs, semantic web technologies, RDF, and SPARQL.
• Familiarity with biomedical or regulatory datasets (FDA, ClinicalTrials.gov, NLM).
• Experience with Linux environments, virtual machines, or containerization tools (Docker).
• Interest in biomedical engineering, health data analytics, or AI‑assisted data analysis.

Special Instructions Deadline Date Posted 07/12/2026 EEO Statement

Hofstra University is an equal opportunity employer and is committed to extending equal opportunity in employment to all qualified individuals without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, national or ethnic origin, physical or mental disability, marital or veteran status or any other characteristic protected by law.

Salary/Salary Range $66,000-$68,000

Additional Information

Hofstra University provides the above salary* as a good faith estimate of the starting pay range which considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and education. In addition to the salary offered, we offer a collegial and inclusive culture, and a benefits program which includes generous paid time off, paid holidays, tuition remission for employees and eligible dependents, and a retirement plan with University contributions.

• Salary ranges indicated for positions covered under a Collective Bargaining Agreement are in accordance with the CBA.

Documents needed to apply

Required Documents

• Resume
• Cover Letter (Including Salary Requirement)

Optional Documents

Supplemental Questions

Required fields are indicated with an asterisk (*).