The National Library of Medicine (NLM) is recruiting for Director of the Lister Hill National Center for Biomedical Communications (LHNCBC) through the Senior Biomedical Research and Biomedical Product Assessment Service (SBRBPAS) and Associate Director of NLM for Clinical Data Management. The candidate should have expertise in clinical data generation, management, and analysis as well as strong leadership capabilities to provide strategic vision and operational oversight to the Center.
LHNCBC is a prominent research and development organization within NIH that focuses on advancing the use of clinical (human) data for research by judicious application of data science computational sciences, and biomedical informatics to support cutting-edge biomedical research. LHNCBC houses one branch of the NLM’s Intramural Research Program, the Computational Health Research Branch (CHRB). In 1968, Congress established LHNCBC to further biomedicine through innovations in computer and digital communications technology, data science research, and computer applications development. Since its creation the evolution of LHNCBC resulted in operations around three key themes: intramural research, research and development and related technology transfer, and scientific computing. LHNCBC’s current operating budget is $13 million with an organizational structure comprising the Office of the Director and three branches with human resources support of approximately 70 personnel, excluding the CHRB.
The NIH increasingly recognizes the research value of data generated in the course of clinical care. The LHNCBC serves as the nexus for advanced methods and their application to clinical data for research at the National Library of Medicine. The newly formed LHNCBC Center for Clinical Observational Investigations (CCOI) innovates informatics and analytics solutions to gain understanding from a wide range of data extracted from observations in the clinical arena, including laboratory test values, patient reported outcomes, medical images, and clinical notes. Because of the highly sensitive nature of clinical data, the LHNCBC oversees and manages repositories of clinical data, and establishes policies for access, use, and storage of these data. This position offers an unusual opportunity for a visionary leader to devise approaches to strengthen clinical data and improve its value to the research enterprise.
This position will provide leadership to staff and oversee the management of substantial resources for NLM core scientific computing services as well as the integration of computational research and development with data science and biomedical research using clinical and other data. This position will report directly to the NLM Director, serve as a member of the NLM Leadership team, and lead a highly technical multidisciplinary team tasked with designing, implementing, operating, and maintaining cutting-edge, next-generational computational infrastructure in support of the NLM Intramural Research Program through the LHNCBC Office of the Director and three Branches: the Applied Clinical Informatics Branch (ACIB), the Computational Health Research Branch (CHRB), and the Scientific Computing Branch (SCB). As NLM Associate Director for Clinical Data Management, this position will work across NLM to help formulate and implement policies and practices for access, use, and storage of human data.
Specific duties include:
- Providing strategic direction to advance the LHNCBC mission and goals in alignment with broader NLM and NIH strategies
- Providing scientific, technical and policy expertise to guide the design, development, and execution of clinical data science research and development projects and programs within the LHNCBC
- Overseeing the design and implementation of programs supporting NLM and NIH intramural and extramural research efforts, such as evaluating large clinical and health databases; developing and evaluating computer algorithms for automated text analysis; and performing data science research in biomedical image and signal processing, artificial intelligence, and machine learning to support automated clinical decision-making
- Establishing and maintaining strategic partnerships with other NIH institutes, government agencies, academia, the health care industry, and international organizations in order to facilitate interdisciplinary collaborations
- Overseeing the allocation and management of financial, human, and technological resources to support the operations and initiatives of the Lister Hill National Center for Biomedical Communications
The ideal candidate has knowledge and deep domain expertise and applied experience in biomedical informatics, data science, or scientific computing as it relates to clinical data and applications. The ideal candidate also has demonstrated leadership capabilities required to manage large-scale scientific programs and staff. Excellent communication skills, the ability to inspire others to engage in significant projects, and a passion for innovation informed by evaluation represent additional assets in a desired candidate.
To be eligible for this position, candidates must be a U.S. citizen, or U.S. National. Foreign nationals or legal permanent residents are not eligible for consideration. Candidates must indicate their U.S. citizenship status on their CV or within their email application submission.
In order to qualify for this position, candidates must possess either a doctoral-level degree in biomedicine or a biological related field, or a master's level or higher degree in:
- or an emerging or related scientific field.
In addition, candidates must have at least one year of experience related to the position, including achievements in one or more of the following areas to demonstrate the individual has received recognition as an expert in the field:
- Has significant experience dealing with complex, precedent-setting evaluation, scientific policies or development issues (e.g., those associated with novel biomedical products, novel approaches to biomedical product manufacturing, or use of novel evaluation methods)
- Demonstrated cutting-edge expertise in a scientific or technical discipline critical to design, development, manufacturing, clinical performance assessment, or technical aspects of effective oversight of biomedical products
- Played a leadership role in planning and conducting public meetings to seek public input and communicate regulatory scientific policies
- Received invitations to speak at or chair major national or international meetings and symposia or
- Meets other criteria demonstrating sufficient rigor or accomplishment in a relevant or closely related activity or field that is necessary to the accomplishment of NIH's mission.
If you are a current Federal Title 5 employee, you must have one year of equivalent experience at the GS-14 level or above.
Equal Employment Opportunity
The United States Government does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor. Equal Employment Opportunity (EEO) for federal employees & job applicants.
Standards of Conduct/Financial Disclosure
If selected, you will be required to complete a Confidential Financial Disclosure Report, OGE Form 450 to determine if a conflict or an appearance of a conflict exists between your financial interest and your prospective position with the agency.
This position has an education requirement. You are strongly encouraged to submit a copy of your transcripts (or a list of your courses including titles, credit hours completed and grades). Unofficial transcripts will be accepted in the application package. Official transcripts will be required from all selectees prior to receiving an official offer. Learn more about Foreign Education.
You can request a reasonable accommodation at any time during the application or hiring process or while on the job. Requests are considered on a case-by-case basis.