Chief, Scientific Computing Branch

Office of Intramural Training & Education; Bethesda (MD); Presencial; USD 150 000 - 190 000; Tempo integral

Resumo da oferta

The National Library of Medicine's Lister Hill National Center for Biomedical Communications (LHNCBC) Bethesda, MD invites applicants for SCB Chief to lead the design and development of scientific computing tools and enterprise infrastructure to support applied clinical informatics research.

The role oversees a team of about 15 federal and contract staff, manages a budget around $5 million, and works with LHNCBC leadership to advance biomedical product assessment, data science, AI, and

Qualificações

• Knowledge and experience in biomedical product assessment, clinical informatics, computer science, and data science.
• Broad scientific knowledge to comprehend LHNCBC applied research and development activities.
• Leadership, mentoring, and staff management experience.

Responsabilidades

• Advising LHNCBC leadership on delivery systems of products, services, processes, and technologies.
• Assessing scientific computational needs and drive analytical tool development and data management practices.
• Coordinate with LHNCBC staff on strategic and technological considerations in applied clinical informatics research.
• Outline priorities for technology and innovation to integrate AI and computational tools with informatics research.
• Monitor advances in computing and lead activities to tackle computational challenges.
• Direct all SCB activities, manage budget, and conduct staff performance evaluations and training.
• Identify and lead applied research and development to improve computing resources and methods.
• Apply biomedical research and product assessment methodologies to support LHNCBC mission.

Conhecimentos

Biomedical informatics

Data science

Clinical informatics

Computer science

Descrição da oferta de emprego

Lister Hill National Center for Biomedical Communications (LHNCBC), Bethesda, MD and surrounding area

Scientific focus area

Biomedical Engineering and Biophysics

The National Library of Medicine's Lister Hill National Center for Biomedical Communications was congressionally authorized “for the improvement of communications necessary for health education, research, and practice.”

About the position

LHNCBC advances the use of clinical data for cutting edge biomedical research and development through the effective application of data science, computational sciences, and biomedical informatics in the diagnosis, prevention, and management of diseases and to promote health.

LHNCBC is comprised of an Office of the Director and two branches: the Applied Clinical Informatics Branch (ACIB) and the Scientific Computing Branch (SCB). The SCB Chief is an expert in computational science tasked with:

• Leading, managing, and overseeing the strategic development and deployment of scientific computing resources and efforts in LHNCBC;
• Serving as the senior scientific computing advisor to the LHNCBC Director; and
• Directly performing biomedical product assessment and research related to algorithms, tools, systems, biomedical and clinical datasets, and other scientific computing methods for the use of datasets and development of analytical tools and methods (e.g., artificial intelligence or informatics).

The SCB Chief will lead the design and development of scientific computing tools and next generation enterprise computational infrastructure to enable applied clinical informatics research and development.

The SCB Chief will be appointed to a position in the Senior Biomedical Research and Biomedical Product Assessment Service (SBRBPAS) and will lead a team of approximately 15 federal and contract staff and manage a budget of approximately $5 million. The SCB Chief serves as a leader within LHNCBC and works in coordination with the LHNCBC Office of the Director and Applied Clinical Informatics Branch (ACIB) and key NLM and NIH offices and centers on biomedical product assessment, biomedical informatics, data science, computer science, artificial intelligence, and other relevant scientific disciplines to leverage the power of clinical data to enable and drive LHNCBC applied clinical informatics research and development activities to accelerate scientific discovery and health.

The successful candidate will have knowledge and experience in biomedical product assessment, clinical informatics, computer science, and data science. The candidate must also possess broad scientific knowledge to comprehend LHNCBC applied research and development activities. In addition to direct involvement in data science research and development, and biomedical product assessment, the SCB Chief is a member of the LHNCBC leadership team. The subject position will also have a crucial role in enhancing the efficiency and efficacy of clinical informatics resource and tool creation and sustainability.

Specifically, the SCB Chief’s duties are as follows:

• Advising the LHNCBC Director, Deputy Director, and leadership team broadly on delivery systems of products, services, processes, and technologies to advance the LHNCBC mission.
• Assessing LHNCBC scientific computational needs and outline and drive analytical tool development and assessment, computational analysis, and data management practices that enable the LHNCBC’s mission and activities.
• Coordinating with LHNCBC staff regarding the strategic, scientific, and technological considerations in applied clinical informatics research and development.
• Outlining priorities for technology and innovation to integrate Al and other computational tools and techniques with LHNCBC applied clinical informatics research and development activities.
• Monitoring and informing on the ever-changing scientific advances in computing.
• Directing all SCB activities, programs and staff as well as performing supervisory duties including mentoring staff, managing the budget, and conducting staff performance evaluations and training.
• Identifying and leading applied research and development activities to tackle complex scientific computing challenges to derive innovative, generalizable solutions resulting in more efficient, cost-effective and better-performing methods, algorithms or analytic approaches.
• Applying biomedical research and product assessment methodologies to support improvement in the capacity, quality and efficiency of scientific computing resources to support LHNCBC mission and activities.
• In collaboration with ACIB staff, identifying computational needs and propose the most effective and innovative approaches to enhance applied clinical informatics research and development capabilities