Trainee Data Analyst Jobs (NOW HIRING)

School of Medicine Established in 1930, Duke University School of Medicine is the youngest of the nation's top medical schools. Ranked sixth among medical schools in the nation, the School takes pride in being an inclusive community of outstanding learners, investigators, clinicians, and staff where interdisciplinary collaboration is embraced and great ideas accelerate translation of fundamental scientific discoveries to improve human health locally and around the globe. Composed of more than 2,600 faculty physicians and researchers, nearly 2,000 students, and more than 6,200 staff, the Duke University School of Medicine along with the Duke University School of Nursing, and Duke University Health System comprise Duke Health, a world-class academic medical center. The Health System encompasses Duke University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Health Integrated Practice, Duke Primary Care, Duke Home Care and Hospice, Duke Health and Wellness, and multiple affiliations.
Be You.
The Department of Surgery is seeking a detail-oriented and highly motivated Database Analyst I to join our team. The Database Analyst I will play a critical role in advancing our computational medicine research by architecting efficient data pipelines and managing, cleaning, and preparing complex, large-scale clinical datasets. Working with both Protected Health Information (PHI) and de-identified (non-PHI) data, this individual will ensure that rigorous data governance and security protocols are met. This position is essential for building a robust, secure data infrastructure that maximizes computational efficiency and supports high-performance machine learning, AI-driven predictive modeling, and advanced clinical analytics.
Job Responsibilities:

• Data Consolidation & Management: Clean, manage, and consolidate both sensitive PHI and non-PHI datasets from diverse clinical sources (e.g., continuous physiological monitors, electronic medical records). Ensure strict adherence to institutional and federal data privacy regulations (e.g., HIPAA) while maintaining high data quality, accuracy, and structural integrity.
• Dataset Harmonization: Map and transform disparate data types into unified formats. Incorporate harmonized data standards, specifically utilizing the Observational Medical Outcomes Partnership Common Data Model (OMOP-CDM) and the Medical Event Data Standard (MEDS), to build automated, reproducible data processing pipelines that safely handle varying levels of data sensitivity.
• Compute Architecture & Efficiency: Architect data workflows and optimize the lab's computational infrastructure to support high-throughput processing. Enhance the computational efficiency of compute environments by optimizing resource allocation (including CPU/GPU utilization), parallelizing data pipelines, and resolving processing bottlenecks to accelerate large-scale machine learning tasks.
• Scalable Infrastructure & Tooling: Structure and index large-scale harmonized datasets for highly efficient querying within distributed computing environments. Develop, test, and maintain robust codebases (e.g., Python, SQL) for ongoing analytical tasks, implement version control, and comprehensively document architectural decisions and data extraction procedures.

Minimum Requirements:
Work requires a bachelor's degree in mathematics, computer science, or a computer related field or the equivalent coursework or technical training.
This position is Onsite. The work is performed on-site or at a designated assignment location.
Choose Duke.
Duke Surgery is #1 in NIH Grant Funding. We are an internationally recognized leader in laboratory and clinical investigation. Duke Surgery's faculty and trainees are consistently among the top- funded researchers nationwide. This position is 100% grant funded. Beyond the engaging work, you'll also benefit from Duke's competitive benefits package, including health insurance plans, generous paid time off, retirement programs with employer contributions, tuition assistance for employees and their children, and more. Join our award-winning team and be part of an inclusive culture that values excellence, innovation, and discovery.
Anticipated Pay Range: Duke University provides an annual base salary range for this position as USD $59,829.00 to USD $104,550.00. Duke University considers factors such as (but not limited to) scope and responsibilities of the position; candidate's work experience, education/training, and key skills; internal peer equity; as well as market and organizational considerations when extending an offer.
Your total compensation goesbeyond the dollars on your paycheck. Duke provides comprehensive and competitive medical and dental care programs, generous retirement benefits, and a wide array of family-friendly and cultural programs to eligible team members. Learn more at: https://hr.duke.edu/benefits/
Equal Opportunity Employer: Duke is an Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender,gender expression, gender identity, genetic information, national origin, race, religion, sex (including pregnancy and pregnancy- related conditions), sexual orientation, or military status.
Duke aspires to create a community built oncollaboration, innovation, creativity, and belonging. Our collective success depends on the robust exchange of ideas-an exchange that is best when the rich diversity of our perspectives, backgrounds, and experiences flourishes. To achieve this exchange, it is essential that all members of the community feel secure and welcome, that the contributions of all individuals are respected, and that all voices are heard. All members of our community have a responsibility to uphold these values.
Essential Physical Job Functions:
Certain jobs at Duke University and Duke University Health System may include essential job functions that require specific physical and/or mental abilities. Additional information and reasonable accommodation(s) can be requested with Duke Access and Accommodations Services (email: DAAS@duke.edu; phone: 919-668-1267).