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Postdoctoral Scholar

Dartmouth College
United States, New Hampshire, Lebanon
Jul 05, 2025

Dartmouth College: Geisel School of Medicine: Department of Biomedical Data Science

Location

Lebanon, NH

Open Date

Jul 02, 2025


Description

The research team of Dr. Madelyn Frumkin is seeking a motivated postdoctoral scholar to join our dynamic and interdisciplinary team. Our lab leverages digital technology to improve understanding, prediction, prevention, and treatment of mental and physical health problems, with a particular emphasis on chronic pain and co-occuring disorders. Projects will include identification of novel digital biomarkers associated with chronic pain after breast cancer surgery and user-centered development of a digital therapeutic to reduce persistent opiod use and impairment after spine surgery.

The lab is housed within the Center for Technology and Behavioral Health, a P30 "Center of Excellence" funded by the National Institute on Drug Abuse. The successful candidate will have opportunities for mentorship in digital health, data analytic methods, manuscript preparation, grant writing, and more. Opportunities for clinical hours and supervision are also available.

For more information on the Frumkin lab, please see our website.


Qualifications

Required qualifications:



  1. Candidates must have an MD or PhD in psychology, data science, computer science, engineering, or a related field.
  2. Candidates must be proficient in quantitative data analysis, as evidenced by a track record of publications and/or presentations.
  3. Candidates must have strong written and verbal communication skills.


Preferred qualifications:



  1. Experience analyzing ecological momentary assessment and/or passive physiological data using R and/or Python.
  2. Clinical or research experience in the fields of chronic pain, mental health, and/or substance use disorders.
  3. Interest or experience in digital app design and deployment.
  4. In-person or hybrid work at Dartmouth is preferred, but remote-only applicants will be considered.


Is is not expected that candidates meet all preferred qualifications.


Application Instructions

Please apply online using this link: https://apply.interfolio.com/169836


Application Process

This institution is using Interfolio's Faculty Search to conduct
this search. Applicants to this position receive a free Dossier
account and can send all application materials, including
confidential letters of recommendation, free of charge.
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