"Data Scientist"

Job Details

Data Scientist

Position Number: 960285

Full Time or Part Time: Full Time

Anticipated Recruitment Range:

Position Type:

Job Category: Staff - Medical

Organizational Unit Overview:

The Department of Pharmacology consists of 13 full-time faculty members, nine full-time research technicians, three postdoctoral scientists, two full-time administrative staff, and 13 graduate students. The department teaches pharmacology, therapeutics, and toxicology to medical, dental, graduate, and nursing students. A wide variety of specialized courses are also taught for graduate students. The educational objective of the department is to provide a sound basic foundation upon which medical and dental students may build rational approaches to drug therapy regardless of the area of clinical specialization. The graduate program through the Ph.D. in Biomedical Sciences, Pharmacology and Toxicology Concentration, is broadly based to prepare students for careers in academics, research, government, industry, and medicine.

The Team Cooke Bailey Lab focuses on researching ocular diseases in underserved populations, with an emphasis on complex conditions like glaucoma that are influenced by genetics, lifestyle, and environmental factors. As part of the Department of Pharmacology and Toxicology and the Center for Health Disparities at East Carolina University, our work integrates clinical, community-based, and genomic research to address vision health.

Job Duties:

This position will support an NIH R01-funded study investigating the genetic and clinical factors that contribute to glaucoma and vision health disparities. The Data Scientist will play a key role in building and managing a secure, relational database for clinical and genetic data.

This position will also contribute to data integration, quality control, and statistical analyses, working closely with the project’s biostatistician and other members of Team Cooke Bailey. Additional responsibilities include summarizing findings from both internal studies and collaborative projects, and supporting research on the intersection of genetics, social determinants of health, and vision care access.

• 45%: Utilize programming tools (Python, SQL, etc.) to support data integration, cleaning, and analysis. (15%) Access and utilize data from various sources, including the Million Veteran Program, NIH All of Us Research Program, regional clinical data systems, and lab-generated datasets from ongoing studies, while ensuring compliance with NIH data security guidelines, ECU, and ECU Health data governance policies. (15%) Support statistical genetics workflows, including data formatting, quality control, and preliminary analyses. (15%)
• 35%: Utilize programming tools (Python, SQL, etc.) to support data integration, cleaning, and analysis. (15%) Access and utilize data from various sources, including the Million Veteran Program, NIH All of Us Research Program, regional clinical data systems, and lab-generated datasets from ongoing studies, while ensuring compliance with NIH data security guidelines, ECU, and ECU Health data governance policies. (15%) Support statistical genetics workflows, including data formatting, quality control, and preliminary analyses. (15%)
• 15%: Summarize data and produce visualizations, reports, and other deliverables to support dissemination activities. (10%) Assist in the interpretation of results related to glaucoma, health disparities, and genetic risk. (5%)
• 5%: Perform additional tasks as needed to support the broader research program of Team Cooke Bailey and the Department of Pharmacology and Toxicology (5%)

Minimum Education/Experience:

Bachelor’s degree in a discipline related to the field assigned and one year of related training or experience; or equivalent combination of training and experience. All degrees must be received from appropriately accredited institutions.

License or Certification Required by Statute or Regulation: N/A

Preferred Experience, Skills, Training/Education:

• Knowledge of statistical genetics concepts and tools preferred
• Experience working in academic or healthcare-related research setting
• Experience working with large-scale clinical or genomic datasets
• Proficiency in Python, R, SQL, or other relevant programming languages
• Familiarity with database design, management, and querying

Special Instructions to Applicant: Please ensure your full range of knowledge, skills, abilities, experience and education are listed on your application. Do not write ‘see resume’ on your application when completing the job duties section. If you answer the questions at the end of the application, please ensure your application reflects the knowledge, skills, abilities and experiences to support your answers (see job duties section of previous employment). Failure to answer the questions at the end of the application will not preclude your application from being considered but may result in your application not receiving full consideration of your knowledge, skills, and abilities. Applicants must be currently authorized to work in the United States on a full-time basis.

Additional Instructions to Applicant:

Job Close Date: 9/8/2025

Open Until Filled: No

Initial Screening Begins:

To apply, visit https://ecu.peopleadmin.com/postings/88873