Post-Doctoral Fellow in Digital Neuropsychology, Brain Health, and Advanced Analytics Harvard Medical School in United States

Mass General Brigham and Harvard Medical School’s Digital Neuropsychology & Brain Health Laboratory is hiring a Post-Doctoral Fellow to join a collaborative research team focused on the intersection of psychology, neuroscience, computer science, statistics, biomedical engineering, and public health.

The role centers on research in everyday cognition, mood, and behavior, with a strong emphasis on digital phenotyping and analysis of biometric data such as speech, wearables, and activity data. The fellow will also work on advanced analytics including R, statistical modeling, machine learning, large language models (LLMs), and time-series methods.

This position offers opportunities to contribute to translational science and to collaborate with industry partners, while engaging with unique clinical and community populations. The lab describes itself as a growing, collaborative team, suggesting a strong environment for interdisciplinary research and professional development.

Institution: Harvard Medical School / Mass General Brigham, United States.

Position level: Post-doctoral fellow (postdoc).

Funding: The post does not specify stipend, salary, or tuition coverage; it is presented as a hired research position.

Eligibility highlights: Interest or experience in cognition, mood, behavior, digital phenotyping, biometric sensing, quantitative analysis, and translational research is relevant. The post does not list formal degree, GPA, or language-test requirements.

How to apply: Use the Workday job link provided in the post and submit your application through the employer portal. The LinkedIn post also includes a shareable application link for interested candidates.