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Stanford University

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Postdoctoral Fellowship in Pain Science, Substance Use Disorders, and Data Science at Stanford University Stanford University in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Postdoctoral fellowship supported by an NIH T32 training grant. Base pay is the Stanford University required minimum for postdoctoral scholars; the FY27 minimum is $79,056. The T32 also provides tuition support for Stanford's Masters in Epidemiology and Clinical Research for trainees who would benefit from additional training.

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Country

United States

University

Stanford University

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Keywords

Computer Science
Data Science
Epidemiology
Psychology
Biology
Health Policy
Substance Abuse
Neuropsychology
Medical Science
Pain Medicine
Salud Pública
Economics
Statistics
ML

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About this position

Open Postdoctoral Position at Stanford University

This is a postdoctoral fellowship in pain science, substance use disorders (SUD), and data science at Stanford’s Division of Pain Medicine, with training across interdisciplinary biomedical and clinical research areas. The program is led through the faculty mentor Sean Mackey and can connect fellows with one of 23 primary mentors across departments including Anesthesiology, Neurobiology, Medicine, Psychiatry, Biology, Radiology, and Psychology.

The fellowship emphasizes research training in neuroscience, molecular and cellular biology, optogenetics, electrophysiology, genetics, cognitive neurosciences, psychology, neuroimaging, data sciences, epidemiology, health policy, and the economics of pain and SUDs. The postdoc is especially suited to applicants interested in applying machine learning, building web applications or tools, and creating visualization dashboards for biomedical datasets.

Trainees should be comfortable with SQL, R, Python, database extraction, data cleaning, analysis, algorithm development and implementation, and data visualization. The program offers elective coursework, mentorship, seminars, an individual integrated research project, and training in grant proposals and manuscript writing. It is supported by an NIH T32 postdoctoral training grant.

Funding includes Stanford’s required minimum postdoctoral salary (FY27 minimum $79,056) and tuition support for the Stanford Masters in Epidemiology and Clinical Research for trainees who would benefit from additional clinical research training.

Eligibility is restricted to U.S. citizens, non-citizen nationals, or lawful permanent residents. Applicants must hold an MD/PhD, MD, PhD, or comparable doctoral degree by the start date, with MDs conferred within six years and PhDs within three years of appointment. Applications from under-represented minority groups are especially encouraged.

Applications are accepted on a rolling basis. Submit materials through the Stanford application portal, including a CV, Letter of Research Intent, and headshot.

Funding details

Postdoctoral fellowship supported by an NIH T32 training grant. Base pay is the Stanford University required minimum for postdoctoral scholars; the FY27 minimum is $79,056. The T32 also provides tuition support for Stanford's Masters in Epidemiology and Clinical Research for trainees who would benefit from additional training.

What's required

Applicants must have an MD/PhD, MD, PhD, or comparable doctoral degree by the start date from an accredited domestic or foreign institution. Due to federal T32 restrictions, only U.S. citizens, non-citizen nationals, or lawful permanent residents are eligible; temporary or student visa holders are not eligible. MD degrees must have been conferred within six years and PhDs within three years of appointment. Applicants should be comfortable with SQL, R, Python, database extraction, data cleaning, analysis, algorithm development and implementation, and data visualization. Applications from under-represented minority groups are especially encouraged.

How to apply

Apply through the Stanford RedCap application portal and select a mentor from the drop-down menu. Submit a CV, a Letter of Research Intent (template available in the application), and a headshot. Applications are accepted on a rolling basis.

More information can be found here

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