Ocean Job Board
Bethesda, MD, USA · Multiple locations
Description
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.
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:
Evidence of scientific stature may include invited keynote or plenary presentations, significant scientific discoveries, development of important methods or technologies, service on scientific committees or editorial boards, scientific awards and honors, and other evidence of national or international recognition.
Appointment
This position will be filled under 42 U.S.C. § 209(f) using the NIH Senior Investigator Intramural Professional Designation. Chief, Computational Health Research Branch is the organizational title associated with the leadership responsibilities of the position.
The selected candidate will be expected to meet NIH requirements for appointment as a Senior Investigator and will be subject to applicable NIH peer, tenure, and pay review requirements.
Salary and Benefits
Salary will be commensurate with the selected candidate's qualifications, scientific accomplishments, experience, and responsibilities and will be established in accordance with applicable NIH Title 42 compensation policies.
A full federal benefits package may be available, including retirement, health and life insurance, leave, and the Thrift Savings Plan.
The position is subject to a background investigation.
Eligibility
Candidates may be U.S. citizens or non-U.S. citizens who are eligible for federal employment under applicable laws, regulations, and NIH policies.
How to Apply
Applicants must submit the following materials:
Application materials should be submitted electronically to nlmdirjobs@mail.nih.gov.
Applications must be received by November 15 for consideration. The position will remain open until filled.
Selection
Candidates will be evaluated based on their scientific accomplishments, national or international stature, originality and impact of their research, scientific leadership, specialized expertise, and ability to provide strategic leadership for CHRB.
The selected candidate must meet NIH requirements for appointment as a Title 42(f) Senior Investigator.
Equal Employment Opportunity
HHS, NIH, and NLM are Equal Opportunity Employers. Selection will be based on merit and in accordance with applicable federal laws, regulations, and NIH policies.