Post Doctoral Scholar - Dept of Biostatistics

University of Kentucky • Lexington, KY

48d

About The Position

The 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 1 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.

Requirements

• Strong statistical analytic skills using R, Python or SAS
• Systematic knowledge in statistical methods and theories
• Good skill and strong ability in communicating with collaborating scientists

Nice To Haves

• Ph.D. in statistics or biostatistics
• Data analysis in biomedical research

Responsibilities

• 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.
• 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.
• 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.

What This Job Offers

• Industry: Educational Services
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees