AIM-AHEAD & NCATS Health Data Science Training Program

AIM-AHEAD and the National Center for Advancing Translational Sciences (NCATS) is inviting up to 10 clinicians to join the Health Data Science Training Program (HDSTP) and provide clinical guidance to a team of diverse early career trainees. The Health Data Science Training Program seeks to foster diversity in AI/ML research by training individuals from diverse backgrounds, empowering them to apply their AI/ML data analysis skills to address challenges faced by communities underrepresented in biomedical research.

From January to July 2025, 10 teams will complete training in health AI/ML modeling, and complete their first project using AI/ML to analyze real-world health data in the National Clinical Cohort Collaborative (N3C), one of the largest secure, de-identified enclaves of harmonized health data. Each trainee project team consists of 4 to 6 diverse early career professionals who have clinical science and data science backgrounds. All trainees have completed foundational training on using AI/ML in healthcare, and will be designing, conducting, and presenting an applied learning project using the National COVID Cohort Collaboration (N3C) Data Enclave.

Clinical Advisors meet with the teams 1-2 times per month, providing valuable insights to ensure the projects are clinically relevant, appropriate, and meaningful. In particular, teams seek guidance on inclusion/exclusion criteria, which variables to include in their models, correlation vs causation, interpreting results, and presenting to a clinical audience.

Seeking Clinical Advisors with subject matter experience to assist project teams on one of the following project topic areas:

COVID-19 and/or long COVID
Respiratory Health/Pulmonary Medicine
Oncology
Mental Health
Neurology
Cardiology
Addiction Medicine
Immunology
Maternal Health
Environmental Health
Minority Health & Health Disparities
Chronic Disease

Why Serve as a Clinical Advisor?

A Clinical Advisor meets with the trainee project team and provides subject matter expertise and guidance to ensure projects are clinically-appropriate, meaningful, and relevant. Serving as a Clinical Advisor has many benefits and opportunities.

Through your work with AIM-AHEAD & NCATS Health Data Science Training Program, you will:

Share your clinical expertise with emerging scientists
Identify future collaborators
Be in the know about future AIM-AHEAD and AI funding opportunities
Hone your leadership skills
Develop and expand your network
Give back to the research community

At the conclusion of the Program, each Clinical Advisor will receive a $2,500 professional fee, as allowed by their institutional policy.

Eligibility Criteria

Clinical expertise in one or more of the clinical topic areas listed above.
Expertise in AI/ML, statistical analysis, EHR analysis or, social determinants of health preferred, but not required.
Prior mentorship experience.
Associated with an organization from a variety of different sectors, such as industry, non-profit organizations, healthcare organizations, faith-based institutions, or academic institutions in good standing with their organization.
Willing and able to meet and communicate with a trainee team by videoconference (e.g., Zoom), phone, and email from January to July 2025.

Expectations of Clinical Advisors

Guide a team of NCATS trainees from January - July 2025, providing clinical insights to inform their health AI/ML research project (e.g., identifying clinically-relevant variables, ensuring appropriate interpretation of results, helping the team prepare a presentation for a clinical audience).
Meet virtually (e.g., Zoom) with teams bi-weekly to guide the design and conduct the project.
Provide continued support to project teams for adjustments to presentation for a clinical audience through September 15, 2025.
Communicate with the team by email for ad hoc questions.
Facilitate communication and networking with other clinicians, if needed, to address project questions.
Encourage and amplify these diverse early career professionals as they develop their skills and careers!

Key Dates

Application Deadline: Friday, January 17, 2025, 11:59 pm ET
Notification of Selection: No later than Monday, January 20, 2025

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