Sr. Systems Engineer - Research

University of RochesterCity of Rochester, NY
Onsite

About The Position

The Senior Systems Engineer - Research supports technology, data, and analytical needs across healthcare research projects funded by federal, state, and private grants. This role 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. Works cooperatively with teams who have diverse skill sets to solve complex problems that require robust, scalable medical research database solutions. Knowledge and experience in any of the healthcare patient facing clinical systems is a plus; EPIC EMR, Cardiology apps like GE ViewPoint, GE MUSE, Philips iECG Anywhere, Philips ST80i Stress System, PaceMate etc.

Requirements

  • High school diploma required
  • 7 years’ related experience required or an equivalent combination of education training and/or experience required.
  • 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
  • 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

Nice To Haves

  • Bachelor’s degree in Information Technology, Health Informatics, Computer Science, or similar discipline preferred.
  • Master’s degree preferred
  • Experience supporting research or healthcare environments preferred
  • 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
  • Familiarity with HIPAA, IRB processes, and secure data management and governance practices preferred.
  • EPIC Data Warehouse Caboodle Certification preferred

Responsibilities

  • Develops, maintains, and troubleshoots research specific IT systems, databases, and software tools.
  • Supports electronic data capture platforms and researches management systems.
  • Ensures all systems meet institutional and regulatory requirements for healthcare research.
  • 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.
  • Supports integration of diverse data sources, including EHR, 3rd party diagnostic/clinical systems data, survey, and administrative data.
  • 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.
  • Collaborates with institutional IT security teams to maintain compliance with IRB, HIPAA, and sponsor requirements.
  • Monitors systems for vulnerabilities and implement corrective actions.
  • Evaluates emerging technologies, software tools, and data platforms that could enhance research capabilities.
  • Recommends and implement solutions that improve efficiency, data quality, and collaboration.
  • Stays current with trends in health informatics, data science, and research IT infrastructure through continuing education, professional reading, online forums, workshops and professional groups.
  • Other duties as assigned

Benefits

  • equity
  • leadership
  • integrity
  • openness
  • respect
  • accountability
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