[Hiring] Senior Research Consultant/Statistician @University of Tennessee

Role Description

The University of Tennessee's Office of Innovative Technologies is seeking a Senior Research Consultant to lead the design, execution, and analysis of research projects in support of faculty and graduate researchers across campus. This senior-level, highly independent role spans the full research lifecycle:

• Developing research questions and experimental designs
• Determining appropriate statistical/machine learning methods and calculating sample sizes
• Conducting data analysis and interpreting results
• Co-authoring and leading or serving as senior author on manuscripts for peer-reviewed journals

The position also partners with investigators to lead the development of grant proposals, including:

• Research design and analysis plans
• Power and sample size calculations

Additionally, the position involves:

• Solving complex computing problems by selecting and configuring appropriate software and hardware
• Writing and debugging code
• Mentoring colleagues through workshops and one-on-one consultations on advanced statistical and computing methods
• Managing university research software licensing

This role carries significant influence over departmental research strategy and direction, serves as backup for the manager when needed, requires occasional overnight travel, and operates with a high degree of autonomy, consulting with a supervisor primarily on priorities and complex or high-impact matters.

Qualifications

• A Master's degree in Statistics, Biostatistics, Data Science, or a related field
• Seven (7) years of experience applying statistics; years in graduate school may substitute for experience if extensive statistical consulting was conducted
• A track record of publishing in peer-reviewed scientific journals
• Excellent writing, communication, and interpersonal skills
• The ability to work independently and prioritize assignments with minimal supervision
• Expertise in at least three of: R, Python, SAS, SPSS, Stata, MATLAB, ArcGIS, and JMP
• Deep knowledge of statistical and machine learning methods appropriate for peer-reviewed publications
• Legally authorized to work in the United States on a full-time basis without need for sponsorship for employment-based visa status

Requirements

• A Ph.D. and five (5) years of experience is preferred
• PStat® accreditation desired
• Expertise in all of: R, Python, SAS, SPSS, Stata, MATLAB, ArcGIS, and JMP is desired
• Proven experience in linear mixed models, categorical data analysis, generalized linear models, and related power analysis is desired
• Experience applying Machine Learning, Bioinformatics inference, and/or Bayesian Statistics in an academic setting is desired
• Ability to provide expert level guidance on best practices in statistics is desired
• Proven experience mentoring graduate assistants and other staff members is desired
• Experience developing and teaching workshops or one-on-one tutorials on research computing and statistical methods is desired
• Experience managing software license agreements, including coordinating with procurement and serving as the point of contact with software vendors for quotes, invoices, and renewals, is desired
• Ability to research, learn, and independently apply new software, hardware, and emerging analytic technologies is desired
• Experience consulting with diverse clientele across multiple departments or disciplines is desired
• Experience providing input to leadership on operational decisions, such as budget, software and service options, or compliance, is desired
• A record of contributing to funded grant proposals is desired

Benefits

• UT market range: MR 13
• Anticipated hiring range: $95,000 – $105,000

Application Instructions

To express interest, please submit an application with the noted below attachments:

• Resume
• Cover Letter
• Curriculum Vitae or comprehensive list of academic publications