Senior Data Scientist, Cardiology Analytics

Automatic Data Processing, Inc.; Durham (NC); On-site; USD 74,000 - 91,000; Full time

Job summary

Automatic Data Processing, Inc. seeks a Senior Data Scientist to support clinical research and quality-improvement initiatives within the Durham Cardiology program through clinical informatics, biostatistics, data engineering, and reporting.

The role involves designing sustainable data workflows, developing analytic datasets, and creating dashboards and publications while collaborating with clinicians, researchers, and operational partners.

Qualifications

• Advanced proficiency in SQL and one or more analytic languages such as R, Python, or SAS.
• Experience analyzing complex clinical, biomedical, or health-services data and collaborating with clinical or research teams.
• Ability to work independently, manage multiple projects, establish analytic priorities, and communicate effectively with scientific, clinical, operational, and leadership audiences.

Responsibilities

• Partner with clinical investigators to define cohorts, outcomes, exposures, time windows, and data requirements for studies.
• Extract, integrate, transform, and curate structured clinical data from VA sources and other approved sources.
• Develop reusable data pipelines, analytic datasets, data dictionaries, validation checks, and source-to-output traceability procedures.
• Provide statistical programming and analytic support using descriptive, inferential, regression, longitudinal, survival, or other methods.

Skills

SQL

R

Python

SAS

Data visualization

Biostatistics

Observational studies

Communication

Tools

REDCap

Power BI

SharePoint

Power Automate

VINCI

Job description

Automatic Data Processing, Inc. seeks a Senior Data Scientist to support clinical research and quality-improvement initiatives within the Durham Cardiology program through clinical informatics, biostatistics, data engineering, and reporting.

The role involves designing sustainable data workflows, developing analytic datasets, and creating dashboards and publications while collaborating with clinicians, researchers, and operational partners.