Postdoctoral Scholar – Train New Trainers (TNT) Fellowship Program

Train New Trainers (TNT) Primary Care Fellowships

Irvine (CA)

Vor Ort

USD 60.000 - 80.000

Vollzeit

vor 9 Stunden
Sei unter den ersten Bewerbenden

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

Schaffe es an den ATS-Filtern vorbei

Zusammenfassung

Train New Trainers (TNT) Primary Care Fellowships seeks a Postdoctoral Scholar to receive mentored training in medical education program evaluation. The role involves analyzing large healthcare datasets, contributing to scholarly publications, and supporting mental health care access initiatives across diverse populations.

The position emphasizes advanced statistical expertise and experience with provider- and patient-level health data, with a start target in early 2027.

Qualifikationen

  • PhD or equivalent in a field related to psychiatry, medicine, public health, or data science.
  • Experience with research design and large datasets.
  • Proficiency in statistical methods and programming languages (R, Python, SAS).
  • Interest in medical education, program evaluation, or mental health services research.

Aufgaben

  • Conduct program evaluation for TNT initiatives.
  • Analyze large healthcare datasets using advanced statistical methods.
  • Develop and support research projects to improve mental health care access across diverse populations.
  • Assist with research administration including IRB applications, literature reviews, longitudinal tracking, data processing, and grant writing.
  • Collaborate with TNT faculty and research team to disseminate findings through manuscripts, presentations, workshops, and other forums.

Kenntnisse

Advanced statistics
R
Python
SAS
Teamwork

Ausbildung

PhD in psychiatry, medicine, public health, social science, bioinformatics, biostatistics, data science, or related field

Tools

R
Python
SAS

Jobbeschreibung

The Postdoctoral Scholar position offers mentored training in medical education program evaluation, with opportunities to analyze educational and real-world clinical data, contribute to scholarly publications, and support initiatives to improve mental health care access across diverse populations. You will work both independently and in collaboration with faculty and other research team members. The position is particularly suited for candidates with advanced statistical expertise and experience working with large-scale, provider- and patient-level health data. Start date is expected for early 2027 (January – February).

Key Responsibilities:
  • Conduct program evaluation for TNT initiatives
  • Analyze large healthcare datasets using advanced statistical methods
  • Develop and support research projects to improve mental health care access across diverse populations
  • Assist with research administrative including IRB application, literature reviews, longitudinal tracking, data processing, and grant writing
  • Collaborate with TNT faculty and research team to disseminate findings through manuscripts, presentations, workshops, and other professional forums
Qualifications:
  • PhD (or equivalent) in psychiatry, medicine, public health, social science, bioinformatics, biostatistics, data science, or related field
  • Experience with research design, large datasets, and statistical methods
  • Proficiency in R, Python, SAS, or similar
  • Interest in medical education, program evaluation, or mental health services research
  • Strong written and verbal communication and teamwork skills

TNT Fellowships is a multidisciplinary continuing education program that expands the behavioral health workforce by training primary care providers in evidence-based mental health care, including primary care psychiatry, child and adolescent psychiatry, and addiction medicine.

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