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Clinical Implementation Lead

Job in Durham, Durham County, North Carolina, 27703, USA
Listing for: Duke University
Full Time position
Listed on 2026-01-12
Job specializations:
  • Healthcare
    Healthcare Management, Health Informatics, Healthcare Administration
Job Description & How to Apply Below

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 2,500 faculty physicians and researchers, more than 1,300 students, and more than 6,000 staff, the Duke University School of Medicine along with the Duke University School of Nursing, Duke University Health System and the Private Diagnostic Clinic (PDC) comprise Duke Health—a world‑class academic medical center. The Health System encompasses Duke University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Primary Care, Duke Home and Hospice, Duke Health and Wellness, and multiple affiliations.

Help transform data for the future of healthcare!

As a Clinical Implementation Lead, you’ll transform data into actionable insights, launch innovative population health programs, and collaborate across clinical, technical, and research teams. Your work will help build scalable technology solutions that drive meaningful change within Duke clinical enterprise.

Be You.

This position will interface with care providers and Duke Health leaders, as well as with industry partners to identify and develop opportunities and to execute projects for DIHI. The Consultant will foster collaborations amongst data scientists, statistics/machine learning experts, clinicians/clinical researchers, and software developers to build valuable technology solutions that are scalable both within the Duke clinical enterprise as well as more broadly.

This role will help to build capability and capacity (including both personnel and technology) for DIHI to rapidly develop, validate, support deployment and commercialize health care new data science products.

The Clinical Implementation Lead must maintain contemporary expertise in healthcare delivery, clinical research, data science, to collaborate with and help supervise individuals from a wide array of disciplines. He/she will work closely with the DIHI Executive Director to manage existing efforts that rely on the effective use of heath care data and to help set strategic priorities for future opportunities.

The Clinical Implementation Lead will report to the Executive Director for DIHI.

Work Arrangements – Onsite Anticipated Pay Range

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 goes beyond 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: (Use the "Apply for this Job" box below)./

PREFERRED QUALIFICATIONS

Master’s degree with quantitative focus preferred.

Additional work in public health and the improvement of health in populations preferred.

Experience working at a population level to identify opportunities to improve health care outcomes and health care delivery efficiency.

Experience working with R or Python data science tools to analyze and visualize health care data and to develop data pipelines to support machine learning model development.

Experience working with academic and industry professionals to leverage data and technology to produce valuable health care innovations.

Clinical experience and ability to relate data to clinical outcomes strongly preferred.

MINIMUM QUALIFICATIONS

Education - Bachelor’s degree in math, statistics, computer science, economics, physics, or another quantitative field required.

Health care professional training (MD, nurse practitioner, or physician assistant) required.

Degrees, Licensures, Certifications - Health care provider training (MD, NP,…

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