Description

University of Kentucky

Equal Employment Opportunity/M/F/disability/protected veteran status.

Posting Details Posting Details Job TitlePost Doctoral Scholar - Dept of BiostatisticsRequisition NumberDU14115Department Name7P180:DEPT OF BIOSTATISTICSWork LocationLexington, KYSalary RangeBased on Post Doctoral ExperienceType of PositionTemporaryPosition Time Status Full-TimeRequired EducationPh.D. in statistics, biostatistics, data science, bioinformatics or related fieldRequired Related ExperienceR, Python or SAS, statistical analytics experienceRequired License/Registration/CertificationNonePhysical RequirementsSitting for extended periods of timeShiftTypically Monday – Friday between the hours of 8:00 a.m. – 5:00 p.m. Additional hours may be needed during peak times.Job SummaryThe College of Public Health, Department of Biostatistics seeks a Post Doctor Scholar. Responsibilities of this position include:

1. 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 sponsoring professor.

2. Manage data generated in the Diabetes Solution COBRE projects, work out routine statistical analyses and study design, including power calculations, sample size determinations and statistical analysis plan.

3. 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.

NOTE: The following documents are required to complete the application process:
* Curriculum Vita
* Cover Letter
* Writing Sample
* Proof of doctoral degree uploaded under Academic Transcript.* Reference Letter (from PhD advisor if possible)
Upload the Reference Letter as Specific Request 1Skills / Knowledge / AbilitiesStrong statistical analytic skills using R, Python or SAS; systematic knowledge in statistical methods and theories;good skill and strong ability in communicating with collaborating scientistsDoes this position have supervisory responsibilities? NoPreferred Education/ExperiencePh.D. in statistics or biostatistics, data analysis in biomedical researchDeadline to Apply12/15/2025Our University CommunityWe 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.

Posting Specific Questions

Required fields are indicated with an asterisk (*).

1. * Describe your experience applying advanced statistical or machine learning methods to longitudinal, real-world, or clinical data, particularly in metabolic or diabetes-related studies. What specific techniques and software did you use?

   (Open Ended Question)

2. * Provide an example of a research project where you developed or implemented predictive modeling or causal inference methods. How did your methodological choices address the scientific questions in that study?

   (Open Ended Question)

3. * Diabetes datasets often include CGM data, electronic health records, randomized trial data, and large observational cohorts. Which types of complex biomedical data have you worked with, and what challenges did you encounter and overcome?

   (Open Ended Question)

4. * This position involves both methodological innovation and collaborative work with clinical investigators. Describe your experience communicating statistical concepts to non-statistical collaborators and how you ensure scientific rigor in interdisciplinary research.

   (Open Ended Question)

Applicant Documents
Required Documents

1. Curriculum Vita
2. Cover Letter
3. Writing Sample
4. Academic Transcript
5. Specific Request 1

Optional Documents

PI279905825