Associate/full Professor, Biostatistics-tenure Track

Albert Einstein College of Medicine

Bronx, New York, United States
Base: $160,000.00 - $220,000.00 py; bonus/equity: ...
Remote
Phd in biostatistics or statistics
Strong record of peer-reviewed publications
Experience in clinical and translational research
The Albert Einstein College of Medicine is seeking an experienced biostatistician for a tenure-track faculty position at the Associate or Full Professor level, focusing on clinical and translational research. The role includes leadership of the Biostatistics, Epidemiology, and Research Design Resource and involves collaboration, teaching, and mentoring in an academic medical setting

Job Summary

  • The successful candidate will serve as the Director of the Biostatistics, Epidemiology, and Research Design Resource within the Harold and Muriel Block Institute for Clinical and Translational Research.
  • This role involves leading methodological support for investigators across Einstein and Montefiore Health System while conducting applied research in biostatistics.
  • Faculty members are expected to teach courses for master's and doctoral students and mentor trainees and junior faculty within a collaborative academic environment.

Matching Summary

Match Score: 85

The Albert Einstein College of Medicine is seeking an experienced biostatistician for a tenure-track faculty position at the Associate or Full Professor level, focusing on clinical and translational research. The role includes leadership of the Biostatistics, Epidemiology, and Research Design Resource and involves collaboration, teaching, and mentoring in an academic medical setting.

Salary

Base: $160,000.00 - $220,000.00 per year; Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • PhD in Biostatistics or Statistics
  • Strong record of peer-reviewed publications
  • Experience in clinical and translational research
  • Teaching experience for graduate students
  • Leadership of biostatistics resources

Nice-to-have

  • Expertise in machine learning or AI
  • Knowledge of Bayesian methods
  • Familiarity with electronic health records
  • National or international scholarly recognition
  • Collaborative team-based science approach

Key Requirements

  • PhD (or equivalent) in Biostatistics, Statistics, or related field
  • Evidence of sustained scholarly leadership for Full Professor rank
  • Demonstrated excellence in collaborative clinical research

Work Rights

Not specified

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