Physician - Biostatistician/Quantitative Psychologist - Chicago (Downtown)-25693

Position Summary

Rush University Medical Center invites applications for a Biostatistician/Quantitative Psychologist to join our growing academic community. This role is designed for an expert in advanced statistical methodologies, psychometrics, and research design who is passionate about applying quantitative rigor to improve clinical outcomes and health equity.

Key Responsibilities

• Statistical Consultation: Serve as a primary methodological expert for clinical and behavioral research teams, assisting in study design, power analysis, and complex data modeling.
• Advanced Modeling: Utilize longitudinal data analysis, Structural Equation Modeling (SEM), Multilevel Modeling (MLM), and Item Response Theory (IRT) to interpret clinical data.
• Grant Support: Collaborate on the development of grant proposals (NIH, PCORI, etc.), specifically leading the statistical and methodological sections.
• Education & Mentorship: Teach graduate-level courses in quantitative methods and mentor psychology interns, post-doctoral fellows, and medical students.
• Health Equity Research: Support Rush’s Anchor Mission by applying quantitative techniques to identify and address health disparities within Chicago’s underserved communities.
• Scholarly Activity: Maintain an active portfolio of peer-reviewed publications and present findings at national conferences.

Qualifications

• Education: Ph.D. in Quantitative Psychology, Psychometrics, Biostatistics, or a related Psychology field with an emphasis on advanced statistical methods.
• Technical Proficiency: Expert-level skills in statistical programming languages such as R, Mplus, SAS, Python, or Stata.
• Experience: Demonstrated experience in a healthcare or academic medical setting. Experience with large-scale electronic health record (EHR) data is a plus.
• Communication: Ability to translate complex statistical concepts for clinical audiences and non-statisticians.
• Commitment: A strong dedication to diversity, equity, and inclusion in both research design and professional collaboration.