NIH Artificial Intelligence Market Analysis

This postdoctoral research opportunity is currently available within the National Institutes of Health (NIH), Office of the Chief Artificial Intelligence Office (CAIO).  As part of the NIH CAIO program, the participant will engage in mentored research focused on establishing an artificial-intelligence-based market analysis solution. The experience focuses on developing innovative AI-driven solutions that reflect the needs, priorities, and perspectives of diverse NIH leadership and scientific communities.

What will I be doing?

Guided by the Chief Artificial Intelligence Officer at the NIH and the CAIO team, participants will delve into creating advanced pipelines for market analysis and investigating ways to automate these processes using agentic AI systems. The experience provides a hands-on opportunity to design AI workflows that dynamically translate insights from stakeholder personas into adaptive communication and operational frameworks. Participants will have the chance to engage with cutting-edge technologies while examining how AI can drive organizational transformation in a large-scale research enterprise.

By the conclusion of this immersive STEM learning experience, participants will have cultivated valuable skills in:

• Designing and optimizing AI workflows: Participants will explore how to implement and evaluate agentic AI systems that utilize large language models to generate synthetic personas representing diverse stakeholder groups, such as industry vendors, biotech companies, startups, healthcare providers, and federal agencies.

• Building accessible AI tools: Participants will develop strategies for creating scalable artificial intelligence solutions, including intuitive graphical user interfaces, to ensure accessibility for researchers and scientists with minimal coding expertise.

• Applying human-centered AI principles: Through hands-on activities, participants will learn methods for integrating AI into organizational and operational contexts, gaining insight into the role of artificial intelligence in driving organizational change and improving workflows.

• Connecting AI systems to dynamic databases: Participants will gain experience in integrating large language models with live data sources, employing techniques such as programmatic APIs, model context protocol servers, and other advanced methods to enable seamless data interaction.

This STEM-focused learning experience equips participants with cutting-edge skills at the intersection of artificial intelligence, systems design, and organizational innovation.

Why should I apply?

This STEM learning experience offers the chance to explore NIH's collaborative research programs, learn how to navigate NIH databases and tools for data analysis, and identify metrics and indicators for evaluating program outcomes. Participants will gain insights into comparing the success of various research initiatives and develop recommendations for future programs based on data-driven findings. This unique opportunity provides a pathway to deepen your knowledge of artificial intelligence, organizational dynamics, and STEM innovation—all under the guidance of expert mentors.

Where will I be located?

Fellows are expected to be fully engaged remotely.  

What financial provisions will I receive?

The selected candidates will receive a monthly stipend to help offset living and other expenses during this appointment. Stipend rates are determined by NIH officials and are based on the candidate’s academic and professional background. In addition, NIH may provide a health insurance supplement to cover the monthly premium costs if you elect the ORAU/ORISE health insurance plan, as necessary.

What is the length of the appointment?

The appointment will initially be for one year and may be renewed annually up to an additional four years, upon recommendation of NIH and is contingent on the availability of funds. 

When are selections made?

An initial review of applications will occur on July 1, 2026. Thereafter, applications will be reviewed on a rolling-basis throughout the 2026 calendar year, and selections made as projects for participation become available.

What is the Nature of the Appointment?

This program, administered by ORAU through its contract with the U.S. Department of Energy (DOE) to manage the Oak Ridge Institute for Science and Education (ORISE), was established through an interagency agreement between DOE and the National Institutes of Health (NIH). Participants do not become employees of NIH, DOE, ORISE, nor ORAU, and there are no employment-related benefits.