Faculty - PMR Statistician

The Department of Physical Medicine and Rehabilitation (PM&R) is seeking a faculty statistician as part of the Data Science and Biostatistics Core. The Faculty Statistician will work as a data scientist/biostatistician who will focus on the design and analyses for disability and rehabilitation research. The types of projects may include multi-dimensional clinical and secondary datasets, biologic/imaging data, surveys, administrative, quality improvement, and qualitative (text) data. The incumbent will be responsible for independent computational and informatics research projects involving methods development, novel algorithm development, and/or high-level data analysis that facilitates and integrates implementation, visualization, and database management of multi-dimensional clinical and secondary datasets. Proficiency in creating data visualization, dynamic dashboards, and reports utilizing web-based platforms such as GitHub, Jupyter Notebook, and R Shiny is strongly preferred. In addition, the Faculty Statistician will be responsible for assisting with manuscript and grant writing, preparing data and visualizations for use in manuscripts and grants, and preparing presentations for national and international meetings. The Faculty Statistician will assist in the planning and development of externally funded proposals and have the opportunity to lead their own proposals. Finally, the incumbent will provide doctoral student mentoring, advising on trainee projects, and faculty consultation in data analysis and research design and hold office hours. The candidate must be highly motivated with a Ph.D. in statistics, biostatistics, epidemiology, computer science, or a related quantitative field. Experience with statistical prediction, Bayesian approaches, mathematical modeling, or machine learning is desired. Solid coding experience in SAS, R, Python, or a related software package is preferred. Experience with qualitative software and NLP programming is also preferred.

In addition to the qualifications above:

• Appointment at the Associate Professor level generally requires a minimum of 5 years of experience and demonstrated scholarly productivity in research, teaching, and/or administrative leadership and service.
  
• Appointment at the full Professor level generally requires a minimum of 10 years of experience and the ability to demonstrate the attainment of superior stature and national/international reputation in their field of knowledge.
  
• Applicants with less than 5 years of experience would be considered for appointment at the Assistant Professor level.

Evidence of scholarly productivity is required for appointment in the tenure stream, including teaching and academic service, publications in relevant peer-reviewed journals, and a history of successful funding acquisition. The primary requirement for conferral of tenure is an outstanding record of sustained independent scholarship across these various activities.

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The University of Pittsburgh is an Affirmative Action/Equal Opportunity Employer and values equality of opportunity, human dignity and diversity. EOE, including disability/vets.

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