Postdoctoral/Research Associate, Biostatistics

New York, United States
Salary Not Specified
Jun 03, 2020
Employment Type
Full Time
Position Summary

This position principally entails the development of methodology for the analysis of large data sets with applications to medicine and specifically addressing clinical research questions using Electronic Health Record ( EHR ) data.

Presentation of research results at national and international conferences is required. Collaborative opportunities under the guidance of the principal investigator, with relevant governmental and industrial partners, exist. This position carries no teaching, consulting or committee responsibilities.

This is a two year position (with a possible extension to a third year) in the Department of Biostatistics, School of Public Health & Health Professions at SUNY University at Buffalo. Appointment to second year and beyond depends on performance.

Outstanding Benefits Package
Working at UB comes with benefits that exceed salary alone. There are personal rewards including comprehensive health and retirement plan options. We also focus on creating and sustaining a healthy mix of work, personal and academic pursuit – all in an effort to support your work-life effectiveness. Visit our benefits website to learn about our benefit packages .

About UB
The University at Buffalo is SUNY’s most comprehensive public research university, and an outstanding place to work. UB amplifies ambition for faculty and staff by offering endless possibilities to achieve more. Here, people from all backgrounds and cultures challenge and inspire each other to discover, learn and succeed. Dedicated staff and engaged faculty collaborate to further knowledge and understanding, and develop tenacious graduates who are valued for their talents and their impact on global society. Visit our website to learn more about the University at Buffalo .

As an Equal Opportunity / Affirmative Action employer, the Research Foundation will not discriminate in its employment practices due to an applicant’s race, color, religion, sex, sexual orientation, gender identity, national origin and veteran or disability status.

Minimum Qualifications

Ph.D. In Statistics/Biostatistics or Computer Science/Machine Learning

Expertise in asymptotic theory, stochastic modelling, model assessment and selection, observational data analysis, computational machine learning methods, and parallel computing is desirable.

Strong programming skills (R, SAS, Matlab, Python)

Excellent oral and written communication skills

Preferred Qualifications

For more information, click the "How to Apply" button.

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