Announcement – Jan 25

Now Accepting Proposals for Placement of a Pathology AI Health Fellow for Projects within the Department

AI Health is currently considering requests for placement of a Pathology AI Health Data Science Fellow. The AI Health Data Science Fellowship is a 2-year training program in data science with direct application for healthcare. The Pathology AI Health fellow will be funded jointly by AI Health and the Department of Pathology. Fellows will also receive support from AI Health and the Duke Department of Biostatistics and Bioinformatics, with overall program supervision provided by the Duke Clinical Research Institute’s Center for Predictive Medicine.

How to Submit a Proposal for Placement of a Pathology AI Health Fellow

An email indicating the intention to apply should be sent to aihealth@duke.edu by 5:00 PM on January 29, 2021. This email should include the PI and title of the proposal. A complete Placement Request Form should also be completed and emailed to aihealth@duke.edu  by 5:00 PM on February 15, 2021. The email should include the subject line “Pathology AI Health Fellowship Proposal.” Proposed projects will be evaluated by a panel of clinical and quantitative experts on the basis of impact, feasibility, ripeness for project start in summer 2021, and educational opportunities for Fellows. Please limit proposals to 3-5 pages. Final selections will reflect alignment with Department of Pathology’s priorities. Fellows will be placed based on the merits of the proposed project, but applicants should address potential for subsequent projects.

About the AI Health Data Science Fellowship Program

The Pathology AI Health Fellowship is part of the larger Duke AI Health Data Science Fellowship Program. Designed for early-career data scientists with strong backgrounds in quantitative disciplines, the program is part of a multidisciplinary, campus-spanning initiative that applies machine learning and quantitative sciences to rich sources of healthcare and administrative data, using the insights gained to improve healthcare delivery, quality of care, and the health of individuals and communities.

Data Science Fellows are integrated into multidisciplinary teams, where they are mentored by and work under the direction of the team’s quantitative lead, who offers advanced expertise in data science and machine learning. Fellows also receive guidance and mentoring from the team’s clinical lead(s), who provide insight into the clinical and operational contexts in which projects are embedded, and in some cases receive mentoring from a staff statistician. Data science teams also include a project manager and may include an informaticist.

Each team focuses on a well-defined research question or problem related to healthcare delivery, quality of care, or clinical operations. Working in this intense but supportive environment, trainees acquire essential skills in healthcare analytics and modern machine learning methods, while also benefiting from in-depth exposure to real-world clinical problem-solving. The Data Science Fellow works as a fully integrated member of these multidisciplinary teams, which are assembled jointly with input from AI Health, the Department of Biostatistics and Bioinformatics, Duke University Health System, and the Department of Pathology’s clinical leadership.

AI Health Fellows typically work on 2 to 3 projects each year and are encouraged to collaborate across complementary projects as opportunity and topic focus align.