Supports technology, data, and analytical needs across healthcare research projects funded by federal, state, and private grants.
Ensures that research teams have secure, reliable, and compliant technical infrastructure to conduct high‑quality scientific work.
Collaborates with investigators, data specialists, and administrative staff to design systems, manage data, and contribute to the technical components of grant proposals and reporting.
Develops, maintains, and troubleshoots research specific IT systems, databases, and software tools.
Supports electronic data capture platforms and researches management systems.
Designs and manages data pipelines, storage environments, and access controls for research datasets.
Oversees data integrity, documentation, and metadata standards across projects.
Implements data governance practices aligned with HIPAA and institutional policies.
Assists with data extraction, transformation, and preparation for analysis.
Partners with investigators, analysts, clinicians, and administrative staff to understand technical needs and translate them into solutions.
Provides training and support for research teams using IT tools and platforms.
Facilitates communication between research teams, clinical system vendors and central IT departments.
Estimates IT related costs and resource needs for proposed research activities.
Ensures secure handling of sensitive health data through encryption, access controls, and audit mechanisms.

High school diploma required
Bachelor’s degree in Information Technology, Health Informatics, Computer Science, or similar discipline preferred.
Master’s degree preferred
7 years’ related experience required or an equivalent combination of education training and/or experience required.
Experience supporting research or healthcare environments preferred
Programming experience and expert knowledge in SQL required
Experience programming large databases with tools software such as SQL Server, Oracle and SAS required
Experience designing, implementing and supporting of data management systems in a scientific research context required
Proficiency with programming/scripting languages (e.g.Java, Python, R), and data integration tools preferred.
Experience with file formats, metadata, and data exchange and storage standards applicable in management of scientific and clinical research required
Strong analytical and problem solving skills required
Strong organizational skills required
Strong communication and collaboration skills required.
Attention to detail, patience and a positive, customer-centric attitude,
Strong documentation skills required
Demonstrated ability to develop proficiency with unfamiliar toolsets required
Experience with change management systems required
Familiarity with HIPAA, IRB processes, and secure data management and governance practices preferred.

Senior Systems Engineer – Research

Key skills