Data Scientist

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:

Temporary

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 110 H

Compensation Range:

$29.05 - $40.67

Responsibilities:

This role is responsible for the curation, management, and analysis of large-scale clinical and claims data within the Truveta data environment, with a focus on pregnancy exposures and maternal and perinatal outcomes. Responsibilities include extracting and transforming structured electronic health record data using Python, constructing pregnancy episodes and longitudinal exposure windows, and developing reproducible analytic pipelines to support cohort creation and outcome ascertainment. The individual will apply statistical modeling to evaluate associations between medication and clinical exposures and pregnancy outcomes and conduct sensitivity analyses. Additionally, this individual will be responsible for contributing to academic writing including construction of tables, summarizing the findings, and understanding the relevant strengths and limitations of the approach.

ESSENTIAL FUNCTIONS

• Curate, manage, and document dataset, ensuring data accuracy, completeness, security, and compliance with all data governance requirements. Conduct thorough data cleaning and quality assurance to generate analysis-ready datasets suitable for advanced statistical modeling.
• Implement and maintain reproducible analytic pipelines, including clear version control, code documentation, and structured note-taking to ensure transparency and repeatability of all analyses.
• Collaborate closely with project leaders in developing and applying advanced analytical methods for statistical analysis of clinical research problems.
Contribute to scholarly products and other research-related duties as assigned, including drafting figures, tables, methods descriptions, abstracts, and manuscripts.

MINIMUM EDUCATION & EXPERIENCE

• Bachelor's degree in Data Science, Math, Information Science or related field Bachelor’s degree in Biomedical Informatics or a related field required.
• 1 year of related experience or Or equivalent combination of education and experience required
• Experience working with clinical data including electronic health records (EHR), ideally the Truveta platform required.
Familiarity with large-scale data analysis and statistics required.

KNOWLEDGE, SKILLS AND ABILITIES

• Proven experience in data analysis, with expertise in computational programming, including complex pipelines in python required.
• Strong knowledge of databases management, such as SQL or similar required.
• Experience working with large datasets in a healthcare or research environment required.
• Understanding of sequence-related data and the value of accurate timing of data points preferred.
• Ability to work collaboratively in an interdisciplinary research team required.
• Excellent problem-solving skills and attention to detail required.

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.