Postdoctoral Scholar, Clinical Informatics: Stroke Prediction

The Pennsylvania State University

Hershey (PA)

Hybrid

USD 50,000 - 70,000

Full time

14 days+
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Job summary

The Pennsylvania State University is seeking a Postdoctoral Scholar in Clinical Informatics to work on NIH-funded studies focused on stroke prediction models using electronic health record data. The role involves attending meetings, conducting research, and receiving mentorship for independent grant development. Qualifications include a PhD or MD with big data experience, proficiency in R and another programming language, and strong scientific writing skills. The position offers limited-term employment for one year with hybrid work opportunities.

Qualifications

  • PhD or MD with experience working with big data.
  • Demonstrated publications as a first-author and co-author.

Responsibilities

  • Attend in‑person meetings and presentations at Hershey Medical Center/Penn State College of Medicine.
  • Conduct research to author publications arising from data analysis.
  • Receive mentorship to develop independent grant support.

Skills

Proficiency in R
Proficiency in at least one additional programming language (Python, Perl, C++, Java, MATLAB)
Strong scientific writing skills
Ability for independent learning and critical thinking
Collaborative team player

Education

PhD in statistics/biostatistics, public/population health, bioinformatics, computer science, or another appropriate field; or MD (or MD, MPH)

Job description

The Pennsylvania State University is seeking a Postdoctoral Scholar in Clinical Informatics to work on NIH-funded studies focused on stroke prediction models using electronic health record data. The role involves attending meetings, conducting research, and receiving mentorship for independent grant development. Qualifications include a PhD or MD with big data experience, proficiency in R and another programming language, and strong scientific writing skills. The position offers limited-term employment for one year with hybrid work opportunities.
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