Project Data Scientist; Grant Funded, Time Limited

Position: Project Data Scientist (Grant Funded, Time Limited)
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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, Clinical Trials.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, Clinical Trials.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, Clinical Trials.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…