Post Doctoral Scholar (College of Public Health Biostatistics)

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Job Title:

Post Doctoral Scholar (College of Public Health Biostatistics)

Department:

Public Health | Division of Biostatistics

The Biostatistics Division in the College of Public Health is seeking a postdoctoral scholar to conduct methodological research in infectious disease epidemiology. The research involves the development of practical and computationally efficient methods for adapting and fitting models from survival analysis to infectious disease transmission data and other data, including genetic sequences, from outbreaks and epidemics. These data could be at the household or population level, and the methods development can include causal inference, model diagnostics, estimation of secondary attack risks or infectiousness profiles, estimation of reproduction numbers, and tracking the population-level spread of infection. Approximately 80% of the postdoctoral fellow’s time will be devoted to theoretical derivations, simulation studies, implementation of methods in open-source software, preparing manuscripts, and giving presentations. The remaining 20% will be devoted to training and mentorship, including grant writing experience and serving as an informal mentor for a Graduate Research Associate.

This position is contingent upon funding and will end on or before three years of employment, with possibility of renewal based on continued availability of funding and performance.

Additional Information: Minimum Required Qualifications

• Doctoral degree in statistics, biostatistics, or related field.

Pay Range: $63,900-$69,180 annual estimated base salary

Salary will be based off of education, experience, internal equity, and budget allowance.

FUNCTION: Research and Scholarship

SUB-FUNCTION: Research

CAREER BAND: n/a

CAREER LEVEL: n/a

Essential Job Duties

80% - Research and Development

• Conduct research relevant to the R01 “Phylogenetics, causal inference, and model diagnostics for longitudinal studies of infectious disease transmission and control” (PI Kenah).
• Analyze, interpret, and present data in a meaningful manner.
• Disseminate results through papers and presentations.
• Implement methods for inclusion in the TranStat package for R or in other open-source software.

20% - Training and Mentorship

• Gain experience writing grants.
• Learn principles of the responsible conduct of research (RCR).
• Informally mentor the GRA under the supervision of the PI.

Location: Cunz Hall (0293)

Position Type: Term (Fixed Term)

Scheduled Hours: 40

Shift: First Shift

Final candidates are subject to successful completion of a background check. A drug screen or physical may be required during the post offer process.

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