Inside Higher Ed
Post Doctoral Scholar - Dept of Biostatistics
Inside Higher Ed, Lexington, Kentucky, us, 40598
Post Doctoral Scholar – Department of Biostatistics
Join the College of Public Health at the University of Kentucky to conduct innovative research in biostatistics.
Job Details
Requisition Number : DU14115
Department : 7P180: Department of Biostatistics
Location : Lexington, KY
Salary : Based on Post Doctoral Experience
Type : Temporary
Time Status : Full‑Time
Shift : Monday–Friday 8:00 a.m.–5:00 p.m. (additional hours may be required during peak times)
Physical Requirements : Sitting for extended periods of time
Job Summary
Develop novel methods and tools for analyzing continuous glucose monitoring (CGM), kinome, RNA‑seq, and/or high‑throughput array (including antibody array) data under the guidance of a sponsoring.
Manage data generated in the Diabetes Solution COBRE projects, perform routine statistical analyses and study design, including power calculations, sample size determinations and statistical analysis plans.
Apply machine learning approaches to integrate diverse datasets collected from study participants to identify subtle differences that may not be detectable using standard analytical methods.
Required Documents
Curriculum Vitae
Cover Letter
Writing Sample
Proof of doctoral degree (upload under Academic Transcript)
Reference Letter (from Ph.D. advisor if possible)
Qualifications
Education : Ph.D. in statistics, biostatistics, data science, bioinformatics or related field
Experience : Proficiency in R, Python or SAS; statistical analytics experience; experience with statistical methods, theories, and communication with collaborating scientists
Preferred Experience : Ph.D. in statistics or biostatistics with data analysis in biomedical research
Additional Information
Supervisory responsibilities : None
Deadline to Apply : 03/01/2026
University Statement We value the well‑being of each of our employees and are dedicated to creating a healthy place for everyone to work, learn and live. In the interest of maintaining a safe and healthy environment for our students, employees, patients and visitors, the University of Kentucky is a Tobacco & Drug Free campus. The University follows both the federal and state Constitutions as well as all applicable federal and state laws on nondiscrimination. The University provides equal opportunities for qualified persons in all aspects of institutional operations and does not discriminate on the basis of race, color, national origin, ethnic origin, religion, creed, age, physical or mental disability, veteran status, uniformed service, political belief, sex, sexual orientation, gender identity, gender expression, pregnancy, marital status, genetic information or social or economic status. Any candidate offered a position may be required to pass pre‑employment screenings as mandated by University of Kentucky Human Resources. These screenings may include a national background check and/or drug screen.
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Job Details
Requisition Number : DU14115
Department : 7P180: Department of Biostatistics
Location : Lexington, KY
Salary : Based on Post Doctoral Experience
Type : Temporary
Time Status : Full‑Time
Shift : Monday–Friday 8:00 a.m.–5:00 p.m. (additional hours may be required during peak times)
Physical Requirements : Sitting for extended periods of time
Job Summary
Develop novel methods and tools for analyzing continuous glucose monitoring (CGM), kinome, RNA‑seq, and/or high‑throughput array (including antibody array) data under the guidance of a sponsoring.
Manage data generated in the Diabetes Solution COBRE projects, perform routine statistical analyses and study design, including power calculations, sample size determinations and statistical analysis plans.
Apply machine learning approaches to integrate diverse datasets collected from study participants to identify subtle differences that may not be detectable using standard analytical methods.
Required Documents
Curriculum Vitae
Cover Letter
Writing Sample
Proof of doctoral degree (upload under Academic Transcript)
Reference Letter (from Ph.D. advisor if possible)
Qualifications
Education : Ph.D. in statistics, biostatistics, data science, bioinformatics or related field
Experience : Proficiency in R, Python or SAS; statistical analytics experience; experience with statistical methods, theories, and communication with collaborating scientists
Preferred Experience : Ph.D. in statistics or biostatistics with data analysis in biomedical research
Additional Information
Supervisory responsibilities : None
Deadline to Apply : 03/01/2026
University Statement We value the well‑being of each of our employees and are dedicated to creating a healthy place for everyone to work, learn and live. In the interest of maintaining a safe and healthy environment for our students, employees, patients and visitors, the University of Kentucky is a Tobacco & Drug Free campus. The University follows both the federal and state Constitutions as well as all applicable federal and state laws on nondiscrimination. The University provides equal opportunities for qualified persons in all aspects of institutional operations and does not discriminate on the basis of race, color, national origin, ethnic origin, religion, creed, age, physical or mental disability, veteran status, uniformed service, political belief, sex, sexual orientation, gender identity, gender expression, pregnancy, marital status, genetic information or social or economic status. Any candidate offered a position may be required to pass pre‑employment screenings as mandated by University of Kentucky Human Resources. These screenings may include a national background check and/or drug screen.
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