Research Data Engineer II

Job Summary
:
The University of Rochester is committed to fostering an inclusive and welcoming culture. They are seeking a Research Data Engineer II to design, implement, and maintain informatics tools that support clinical research while ensuring data quality and enhancing research readiness through advanced analytics.

Responsibilities
:

• With general supervision and guidance, participates in the design, implementation, and maintenance of informatics tools and solutions to support and accelerate clinical research.

• Primarily focuses on developing and supporting the data quality assurance and quality control applications, processes, and protocols of the URMC OMOP database and its de-identified version.

• The role involves leveraging advanced analytics by adopting, deploying, and improving AI/ML models (including LLMs) to enrich OMOP clinical data and enhance its research readiness.

• Develop, evaluate and customize open-source tools to support and promote the use of OMOP database for observational healthcare studies.

• Works in partnership with CTSI Informatics team members and the Information System Division (ISD) at URMC to provide robust, scalable informatics solutions to the research enterprise.

• Builds, maintains, and evolves data quality evaluation standards, processes, and workflows to monitor and report data accuracy, consistency, and plausibility.

• Determines required changes to the Extract, Transform and Load (ETL) pipelines for improved data quality.

• Works with research team members to convert business and technical requirements into professional software solutions.

• Ensures timely completion of tasks while managing multiple assignments, project timelines, and business user expectations.

• Designs and implements custom, research project-specific data workflow solutions for data collection, management, reporting and analytics.

• Contributes to the scientific research.

• Participates in specification, implementation and execution of testing procedures to ensure quality of deliverables, system and data workflow reliability.

• Adheres to defined application development life-cycle practices, including but not limited to, requirements gathering, writing test plans, source code management, peer code review, and quality assurance through unit/system/user acceptance testing.

• Produces and maintains comprehensive technical documentation for all systems under the Engineer’s responsibilities.

• Keeps abreast of current application developments through continuing education, professional reading, online forums, conferences, workshops, and professional groups.

• Other duties as assigned.

Qualifications
:
Required
:

• Bachelor’s degree in Data Science, Biomedical Science, Computer Science, Mathematics, Statistics, or similar discipline required

• 2 years of experience in technology and data intensive roles and environments, or equivalent combination of education and experience required

• Programming experience in SQL and at least one other applicable language (Java, Python, C, and/or R) required

• Understanding of data analytics and statistical methods required

• Expertise of software engineering best practices such as version control and software release management required

• Strong analytical and problem solving skills required

• Strong organizational skills required

• Ability to work with others in a matrix management environment required

• Excellent communication skills for describing progress and challenges to stakeholders required

• Attention to detail, patience, and a positive, customer-centric attitude required

• Strong technical presentation skills required

• Demonstrated ability to develop proficiency with unfamiliar toolsets required

Preferred
:

• Experience implementing and supporting analytical tools in a scientific research or clinical context (e.g. OHDSI HADES) preferred

• Experience with OMOP common data model preferred

• Familiarity with medical vocabularies (e.g., ICD-10-CM, CPT4, LOINC, RxNorm, SNOMED) and reporting clinical data from Epic databases (e.g., Clarity, Caboodle) preferred

• Experience with Version Control solutions (e.g. Git) preferred

• Programming experience with numeric computing software (eg. MATLAB, Julia) preferred

• Experience with Linux, container, and cloud technologies (e.g. HPC, Docker, Kubernetes, IaaS and PaaS) preferred

• Experience with Change Management solutions preferred

Company
:
The University of Rochester is a private research university located in Rochester, New York. Founded in 1921, the company is headquartered in Rochester, USA, with a team of 10001+ employees. The company is currently Late Stage.