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communication skills are expected. Preferred: Working knowledge of MonolixSuite, R Shiny, and Python is highly desirable. Special Instructions to Applicants: To be considered, you must upload your cover letter
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Python or R is a plus Ability to work independently and collaboratively in a multidisciplinary research environment Special Instructions to Applicants: To be considered, please submit the following: Cover
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will have demonstrated experience working with large and complex datasets, including collection, management, analysis, and communication. Strong programming skills (R, Python, or similar) and a solid
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of education materials). Required Qualifications: PhD in Biostatistics, Computer Science, Bioinformatics, Statistics, Mathematics or related field. Preferred: Proficient in R/Python. Prior experience in genetic
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studies Monte Carlo simulation and/or statistical software or package development (e.g., R, Stata) Multilevel modeling (MLM), difference-in-differences (DID), or comparative interrupted time series (CITS
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(e.g., Python or R or C++) is essential. Research experience utilizing skills of programming, statistics, and AI are essential. The ideal candidate should demonstrate independent and critical thinking
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such as Simcyp, PK-Sim, or similar tools Strong quantitative and computational skills, including proficiency in R Demonstrated ability to analyze and interpret pharmacokinetic data Strong written and verbal
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for this position is February 2026 For further questions, please contact Prof. Piran R. Kidambi at p.kidambi@ufl.edu. The University of Florida (UF) is the flagship campus of the State of Florida university system
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. Preferred: Proficient in R and Python. Prior experience in genetic or genomic data analysis; experience with AI is a plus. Special Instructions to Applicants: In order to be considered, you must upload your
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Qualifications: Successful candidates are expected to have the following competencies: A strong background in experimental design and statistical analyses. Ability to manage and analyze complex data using R, Mplus