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Post Doctoral Scholar, Biostatistics
The Ohio State University, Main Campus. Conduct research relevant to the R01 “Phylogenetics, causal inference, and model diagnostics for longitudinal studies of infectious disease transmission and control” under PI Kenah .
Posted 10/30/2026full-timeColumbus • Ohio • United StatesMid-LevelSenior💰 $63,900 - $69,180 per yearWebsite
Core Competencies
Role fitCore Competencies
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Demonstrates expertise in developing and implementing survival-analysis models for infectious disease transmission, alongside strong capabilities in data analysis, manuscript preparation, and effective presentation of research findings. Proficient in mentoring and training within a research environment while adhering to responsible conduct of research principles.
Highest-signal resume keywords
Doctoral Degree In StatisticsMethodological Research In Infectious Disease EpidemiologySurvival-Analysis Models DevelopmentImplementation In RData Analysis And Presentation
ATS Keywords
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Hard Skills
Survival-Analysis ModelsTheoretical DerivationsSimulation StudiesCausal InferenceModel DiagnosticsEstimation Of Secondary Attack RisksEstimation Of Reproduction NumbersPopulation-Level Infection TrackingGrant WritingManuscript Preparation
Soft Skills
MentorshipCommunicationPresentation Skills
Tools & Technologies
TranStat R PackageOpen-Source Software
Industry Keywords
Infectious Disease TransmissionEpidemiologyResearch Conduct Principles
About the role
Key responsibilities & impact- Conduct research relevant to the R01 “Phylogenetics, causal inference, and model diagnostics for longitudinal studies of infectious disease transmission and control” under PI Kenah
- Develop methods for adapting and fitting survival-analysis models to infectious disease transmission data and other outbreak and epidemic data
- Work with household- or population-level data, including genetic sequences
- Apply causal inference, model diagnostics, estimation of secondary attack risks or infectiousness profiles, estimation of reproduction numbers, and population-level infection tracking
- Devote approximately 80% of time to theoretical derivations, simulation studies, open-source software implementation, manuscript preparation, and presentations
- Analyze, interpret, and present data
- Disseminate results through papers and presentations
- Implement methods for inclusion in the TranStat R package or other open-source software
- Devote approximately 20% of time to training and mentorship
- Gain grant-writing experience
- Learn principles of responsible conduct of research
- Informally mentor a Graduate Research Associate under the supervision of the PI
Requirements
What you’ll need- Doctoral degree in statistics, biostatistics, or related field
- Successful completion of a background check for final candidates
- A drug screen or physical may be required during the post-offer process
- Ability to conduct methodological research in infectious disease epidemiology
- Ability to develop practical and computationally efficient survival-analysis models for infectious disease transmission data
- Ability to conduct theoretical derivations and simulation studies
- Ability to implement methods in R or other open-source software
- Ability to prepare manuscripts and give presentations
Benefits
Comp & perks- Training and mentorship, including grant writing experience
- Informal mentorship opportunity for a Graduate Research Associate
- Possibility of renewal based on continued availability of funding and performance
- First shift schedule
- Equal opportunity employment, including veterans and disability