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STAFF SCIENTIST 1 - Human Regulatory Genomics

The National Library of Medicine (NLM) is one of 27 Institutes and Centers at the National Institutes of Health. NLM is a global leader in biomedical informatics and computational health data science and the world’s largest biomedical library. NLM’s legislative mandate is to support the essential work of acquiring, organizing, preserving, and disseminating biomedical information. NLM provides public access to this information 24 hours a day, seven days a week.

NLM Division: Intramural Research Program (IRP)

NLM Program/Office: Computational Biology Branch (CBB)

Application Period: Applications will be accepted April 16, 2024 until the position is filled.

Overview: Seeking an exceptional candidate to conduct research in human genomics, develop novel machine learning methodologies, and create programs addressing critical questions in gene regulation under the guidance of Dr. Ivan Ovcharenko. This position is located at the NIH main campus in Bethesda, Maryland, U.S.A. 

Position Description/Responsibilities:

We are seeking a highly motivated individual to join our team specializing in human genomics and machine learning. In this role, you will be responsible for conducting cutting-edge research, devising innovative machine learning methodologies, and developing programs aimed at addressing critical questions in gene regulation.

Key Responsibilities:

Position Requirements:

The ideal candidate may or may not be a United States citizen.

We are looking for an individual with:

Education Requirements:

Candidates must hold a doctoral degree in a quantitative field, such as Computational Biology, Computer Science, Bioinformatics or Mathematics, or related field.

Foreign Education: Applicants who have completed part or all their education outside of the United States must have their foreign education evaluated by an accredited organization to ensure that the foreign education is equivalent to education received in accredited educational institutions in the United States. We will only accept the completed foreign education evaluation. For more information on foreign education verification, visit the National Association of Credential Evaluation Services (NACES) website. Verification must be received prior to the effective date of the appointment.

Salary and Benefits:

This non‐competitive appointment in the excepted service is like a federal full‐time position. Salary will be commensurate with experience and qualifications. A full package of benefits is available.

How to Apply

Prospective candidates are encouraged to submit their CV and Bibliography, accompanied by a cover letter detailing their research interests and proficiency in AI developments, along with the names of three references, to Please ensure to include the announcement number, NLM9491-2024, in the cover letter. Please refrain from including personal information such as birth date, social security number (SSN), or personal photograph in your application materials.

Contact Information:

HHS, NIH, and NLM are equal opportunity employers.

Last Reviewed: April 16, 2024