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Chief, Computational Health Research Branch

Job in Bethesda, Montgomery County, Maryland, 20811, USA
Listing for: AFE
Full Time position
Listed on 2026-09-05
Job specializations:
  • Research/Development
    Research Scientist, Data Scientist
Salary/Wage Range or Industry Benchmark: 180000 - 240000 USD Yearly USD 180000.00 240000.00 YEAR
Job Description & How to Apply Below

Chief, Computational Health Research Branch Senior Investigator, Title 42(f)

National Library of Medicine
National Institutes of Health
Bethesda, Maryland

Summary

The National Library of Medicine (NLM), a component of the National Institutes of Health (NIH), Department of Health and Human Services (HHS), is seeking an exceptional scientist to serve as Chief of the Computational Health Research Branch (CHRB) within the Division of Intramural Research (DIR) in Bethesda, Maryland.

The selected candidate will be appointed as a Senior Investigator under Title 42(f) and will serve as Branch Chief of CHRB. The Branch Chief will provide scientific and administrative leadership for a multidisciplinary research program focused on computational approaches to health informatics, personalized medicine, and disease modeling through artificial intelligence (AI), machine learning, and large-scale biomedical data analysis.

The successful candidate will set the strategic scientific direction of CHRB, provide leadership and mentorship to Principal Investigators (PIs) and other scientists, and establish and lead an independent research program. The Branch Chief will advance innovative computational approaches that support NLM and NIH priorities and improve biomedical research, clinical care, and public health.

Duties

The Branch Chief will provide scientific and administrative leadership for CHRB and guide the development and implementation of the branch's strategic research program.

  • Provide scientific leadership and strategic direction for CHRB's research portfolio.
  • Lead an independent, nationally and internationally recognized research program in computational health sciences.
  • Lead the branch in developing innovative computational approaches for clinical risk prediction, disease progression modeling, clinical decision-making, personalized medicine, multi-omics data integration, and related areas.
  • Advance the development and application of AI, machine learning, health informatics, epidemiology, biostatistics, and large-scale data analytics to biomedical and health data.
  • Provide scientific leadership, guidance, and mentorship to PIs and other researchers within CHRB.
  • Identify emerging scientific opportunities and establish research priorities that advance the missions of NLM and NIH.
  • Oversee the scientific and administrative functions of the branch, including research programs, personnel, and resources.
  • Foster interdisciplinary collaborations across NLM and NIH and with academic institutions, research organizations, government agencies, and industry partners.
  • Mentor investigators, postdoctoral fellows, trainees, and other scientific staff.
  • Foster a collaborative scientific environment that supports scientific excellence and innovation.
  • Maintain the highest standards of scientific rigor, integrity, and research quality.
Qualifications

Candidates must have a doctoral degree or equivalent in a relevant scientific field and extensive research experience appropriate for appointment as an NIH Senior Investigator under Title 42(f).

The successful candidate must demonstrate outstanding scientific accomplishments and stature appropriate for a senior scientific leadership position, including:

  • National or International Recognition
    :
    Recognition as a national or international expert in computational health sciences or a closely related field.
    Original Scientific Contributions: A record of original scientific or scholarly contributions of major significance that have advanced computational health sciences, biomedical research, or a related field.
  • Scientific Leadership
    : A sustained record of leadership in the scientific community and demonstrated success leading independent research programs and interdisciplinary scientific teams.
  • Specialized Expertise
    :
    Special scientific, computational, or technical knowledge and skills that would benefit NLM and NIH.
  • Research Accomplishments
    : A strong record of significant scientific discoveries, innovative methods or technologies, and influential peer-reviewed publications.
  • Independent Research
    :
    Demonstrated ability to establish and sustain a highly productive independent research program.
  • Computational Expertise
    :
    Adv…
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