Buffalo, New York

Position Title: Research Associate, Biostatistics Posting Number: R2100198 Employer: Research Foundation Salary Range: $70,000 - $85,000 FTE: 1.00 Position Summary: This is a two-to-three-year position with the School of Public Health & Health Professions and the Jacobs School of Medicine and Biomedical Sciences, University at Buffalo. It principally entails the development of computational algorithms with strong statistical and mathematical foundations, and the development of machine learning algorithms to study post-marketing surveillance problems and safety aspects of medical products during their development.  Additional components of the research include addressing methodological issues associated with the analysis of large observational data sets, and software development. Collaborative opportunities under the guidance of the PI, with relevant governmental and industrial partners, potentially leading to future career opportunities exist. Presentation of scientific results in conferences is required.  The primary focus of the position is to contribute to the aforementioned research agenda; the position does not carry teaching or committee responsibilities.  Responsibilities include but are not limited to: Development of statistical/computational/machine learning (ML) methods for the analysis of biomedical big data and electronic health record data Development of statistical/computational/ML methods for pharmacovigilance Software development Publications in statistical/informatics/ML journals and conferences is a requirement About SPHHP   The School of Public Health and Health Professions ( SPHHP ) is one of the only schools in the country to include both public health and health professions, providing unique opportunities for collaboration amongst students and faculty. With over 30 degree programs for every level of education – undergraduate, graduate, professional, and doctoral – the opportunities are endless. For more information about the School of Public Health and Health Professions, please see http://sphhp.buffalo.edu . As the public flagship university in the State University of New York ( SUNY ) system, UB is ranked in the top 40 of public universities by U.S. News and World Reports and has been a member of the elite Association of American Universities ( AAU ) for over 25 years. We are committed to developing an excellent and diverse community of scholars and students engaged in research, education and service and we encourage applications for underrepresented groups. About the University at Buffalo 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. 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 .  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/Computer Science (machine learning concentration) Excellent, oral and written, communication skills Strong programming skills (proficiency in one or more of JAVA / PYTHON /R/C++ is desirable) Strong knowledge of classification/clustering and natural language processing methods, statistical inference and asymptotic theory, analysis of observational data and design are minimum requirements.  The ability to apply theory, concepts, or principals in Statistics/Biostatistics/Computer Science (machine learning concentration) and practical experience gained through an internship or a year's employment in a similar role.  Deadline for Applicants: Open Until Filled Quicklink for Posting: 31288

Buffalo, New York

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