Clinical Research Data Specialist

As a community, the University of Rochester is defined by a deep commitment to Meliora - Ever Better. Embedded in that ideal are the values we share: equity, leadership, integrity, openness, respect, and accountability. Together, we will set the highest standards for how we treat each other to ensure our community is welcoming to all and is a place where all can thrive.

Job Location (Full Address):

255 Crittenden Blvd, Rochester, New York, United States of America, 14642

Opening

Worker Subtype:

Regular

Time Type

Time as Reported / Per Diem

Scheduled Weekly Hours

As Scheduled

Department

600223 SON Staff/Research Programs

Work Shift

UR - Day (United States of America)

Range

UR URG 106 H

Compensation Range

$21.36 - $29.90

The referenced pay range represents the minimum and maximum compensation for this job. Individual annual salaries/hourly rates will be set within the job's compensation range, and will be determined by considering factors including, but not limited to, market data, education, experience, qualifications, expertise of the individual, and internal equity considerations.

Responsibilities

Coordinates analytic activities associated with secondary use of large-scale electronic health record data within the Truveta platform for projects examining contraceptive exposure and GLP-1 medication patterns. Assumes responsibility for structured data science workflows, timelines, and documentation requirements. Conducts data extraction, transformation, and analysis tasks that support reproducible research. Maintains data quality processes that support project aims and ensures analytic tasks align with regulatory requirements for use of de-identified patient data.

Essential Functions

Primary Data Management and Extraction in Truveta

• Executes data extraction workflows within the Truveta environment that support investigation of contraceptive use patterns and GLP-1 medication exposure.
• Conducts code-based queries, phenotype identification, cohort development, and variable construction.
• Maintains documentation of analytic decisions and dataset versions to ensure reproducibility.
• Communicates data anomalies or platform-level issues to the research team.
  
  

Data Cleaning, Wrangling, and Quality Control

• Constructs analytic datasets through iterative cleaning, deduplication, missingness assessment, outlier handling, and normalization of structured clinical concepts.
• Performs data quality checks and maintains logs that document decisions, discrepancies, and validation steps.
• Implements processes for ongoing dataset updates in alignment with Truveta refresh cycles.
  
  

Statistical and Computational Analysis

• Conducts statistical analysis using Python, including descriptive analysis, regression modeling, longitudinal pattern analysis, and model diagnostics.
• Supports development of analytic pipelines for exposure classification, cohort refinement, and sensitivity analyses.
• Generates tables, figures, and summaries for internal team review and for publication purposes.
  
  

Complies with Responsible Conduct of Research and the Code of Federal Regulations.

• Keeps current with all federal, state, sponsor, and institutional policies and laws, standard operating procedures, and guidelines.
• Demonstrates accountability for continuous learning in accordance with Good Clinical Practice standards and guidelines. Maintains requisite skills and mandatory training in safety, equality, responsible conduct of research, continuing education, and research competencies. Maintains CITI and Conflict of Interest (COI) certification and renewal as required.
• Participates in protocol-related training as required.
  
  

Other duties as assigned

Minimum Education & Experience

• Associate's degree and 1 year of relevant experience required
• Bachelor's degree preferred
• Experience with statistical programming (Python), data wrangling, or large-scale EHR datasets preferred
  
  

Knowledge, Skills And Abilities

• Understanding of data science workflows within large datasets required
• Ability to follow structured analytic protocols and maintain data integrity. required
• Experience with EHR data models, OMOP, coding systems (ICD, SNOMED, RxNorm), or de-identified platforms. preferred
• Proficiency with Python, SQL, Git/GitHub, and documentation tools. preferred
• Strong communication and organizational skills and ability to work collaboratively in a remote, fast-paced research environment. required
• Proficient in MS Office (e.g. Word, Excel, and PowerPoint), REDCap. preferred
  
  

The University of Rochester is committed to fostering, cultivating, and preserving an inclusive and welcoming culture to advance the University’s Mission to Learn, Discover, Heal, Create – and Make the World Ever Better. In support of our values and those of our society, the University is committed to not discriminating on the basis of age, color, disability, ethnicity, gender identity or expression, genetic information, marital status, military/veteran status, national origin, race, religion, creed, sex, sexual orientation, citizenship status, or any other characteristic protected by federal, state, or local law (Protected Characteristics). This commitment extends to non-discrimination in the administration of our policies, admissions, employment, access, and recruitment of candidates, for all persons consistent with our values and based on applicable law.