Jobs and Careers

Lab Research Analyst II

United Statesfull_timeVerifiedPosted 7 Aug 2026

💰 $98,439/yr($61,026/yr – $98,439/yr)

About the role

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. Be Bold. Choose Duke.

Senior Translational Research Data & Bioinformatics Specialist

Be You.

At Duke, we celebrate curiosity, innovation, and the unique expertise each team member brings to advancing human health. As a Senior Translational Research Data & Bioinformatics Specialist, you will play a pivotal role in driving discovery science by connecting clinical research, biospecimen infrastructure, bioinformatics, and data systems that accelerate translational medicine.

You will join a collaborative environment where clinicians, scientists, bioinformaticians, trainees, and research professionals work together to transform complex biological data into meaningful scientific discoveries. Your work will directly support cancer research, translational studies, clinical trials, and grant-funded scientific initiatives that improve outcomes for patients today and in the future.

Whether architecting enterprise-level biobank databases, developing cutting-edge multi-omic analytical pipelines, or leading cross-functional research operations, your expertise will help shape the future of precision medicine at Duke.

Be Bold.

What You'll Do

As a senior technical and scientific contributor, you will provide leadership across translational biospecimen management, database architecture, bioinformatics, analytics, regulatory compliance, and laboratory operations.

Translational Biospecimen Infrastructure & Data Systems Leadership

Design, build, and maintain enterprise-grade database systems that support longitudinal and protocol-driven translational research programs.
Develop scalable data management solutions using REDCap, SQL, Python, R, and web-based technologies.
Architect relational database structures that ensure biospecimen traceability, chain-of-custody accountability, and regulatory compliance throughout the research lifecycle.
Create automated workflows and data pipelines that improve operational efficiency, harmonize research protocols, and maintain data integrity.
Develop intuitive dashboards, reporting tools, and self-service research portals that enable investigators, trainees, and collaborators to identify available specimens and associated clinical data.
Support department-wide and Duke Cancer Institute clinical research initiatives through robust data infrastructure development.

Bioinformatics & Multi-Omic Analytics

Design and execute advanced bioinformatic workflows for genomic, transcriptomic, single-cell, and other high-dimensional molecular datasets.
Develop custom analytical pipelines in R and Python that transform complex biological data into actionable scientific insights.
Perform quality control, statistical modeling, and exploratory analyses for translational research projects.
Generate publication-quality visualizations, figures, and analytical summaries that support scientific manuscripts, presentations, and grant submissions.
Apply advanced computational methods to integrate and interpret multi-omic datasets.
Develop innovative analytical approaches that accelerate discovery and support competitive external funding opportunities.