The Roux Institute at Northeastern University (NU) and the Jackson Laboratory (JAX) are seeking a ‘co-mentored’ postdoctoral fellow as part of a new JAX/Roux Institute joint Applied Data Science Postdoctoral Fellowship program. Under this program, the postdoctoral trainee will be co-mentored by NU and JAX researchers working on “Grand Challenges” identified by Roux and JAX executive leadership. These Grand Challenges are jointly selected programs that enhance the JAX/Roux partnership, align with each institution's strategic priorities, and integrate biological and data science. This cycle’s grand challenge focus is on Alzheimer’s Disease and Related Dementias. The position will be located at The Roux Institute at Northeastern University, in Portland, Maine, where JAX has a co-located JAX Portland research site. The postdoc will contribute to and help lead projects related to the development and validation of models in the precision health domain that aim at diagnosing various types of disease and recommending optimal treatments for patients. The position will be supervised by Research Professors and will be conducted with experimental researchers who are collaborating partners of the Roux Institute and will include opportunities for collaboration with other faculty at the Roux Institute and other colleges at Northeastern University. This project will involve Alzheimer’s disease and related dementias (ADRD) and the cerebrovascular deficits that occur prior to hallmark pathologies such as amyloid plaques and neurofibrillary tangles of TAU, neuronal dysfunction and cognitive decline. Tracking cerebrovascular health in at-risk, but cognitively normal individuals will greatly facilitate early detection of those most at risk of developing dementia, allowing the opportunity for early intervention. We are performing complementary human and mouse studies to evaluate plasma biomarkers in combination with retinal vascular health as biomarkers for ADRD. We are seeking a highly motivated individual to join this exciting collaborative research program that builds upon existing strengths in ADRD biology and genetics (JAX) and bioinformatics methods and machine learning approaches (Roux) to evaluate novel biomarkers for ADRD.