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Institute of Computational Comparative Medicine

Job Openings

Welcome and thank you for your interest in a career with Institute of Computational Comparative Medicine (ICCM) at Kansas State University 

Post-doc Fellow
PhD opportunity in Veterinary and Comparative Clinical Pharmacology

The Institute of Computational Comparative Medicine (ICCM) at Kansas State University is pleased to announce a PhD training opportunity in comparative pharmacometrics funded through the Food Animal Residue Avoidance Databank. Pharmacometrics is the science of developing and applying mathematical and statistical models to characterize, understand and predict a drug’s pharmacokinetics, pharmacodynamics, and biomarker-outcome behavior. Scientists with pharmacometrics skills are highly sought after in the pharmaceutical industry and garner salaries that surpass many of their peers. As a student of this bridging discipline, you should have a strong quantitative and statistical background, coupled with a willingness and desire to acquire knowledge in key biological concepts, as well as excellent oral and written communication skills to facilitate inter-disciplinary communication. The ICCM is the only veterinary program that has been awarded the status of Center of Excellence by Certara, thus offering students a unique opportunity to develop modeling and simulation skills using state-of-the-art software that is widely used in the industry. 

Postdoctoral Fellow, Visiting Students/Scholars, Undergraduate Students in Physiologically Based Pharmacokinetic (PBPK) Modeling

Two new Postdoctoral Fellow positions are opening immediately to conduct research in the new Institute of Computational Comparative Medicine (www.iccm.ksu.edu) at Kansas State University. A PhD in pharmacology, toxicology, epidemiology, biostatistics, or related fields along with experience doing physiological based pharmacokinetic (PBPK), population-based nonlinear mixed effects pharmacokinetic (NLME-PK), or pharmacokinetic/pharmacodynamic (PK/PD) modeling is required. Experience with computational modeling using MATLAB, R language, Berkeley Madonna, acslX, and/or Phoenix NLME is preferred. The initial appointment will be for one year, with a strong possibility of extension. 

1. The individual in this position will develop and apply PBPK and/or NLME-PK models to aid in the prediction of chemical and drug tissue residue levels and withdrawal times in food-producing animals (e.g., cattle, swine, and chicken). This work is primarily based on data collected in the USDA-supported national Food Animal Residue Avoidance Databank (FARAD), as well as data obtained in new animal trials from collaborative labs at K-State and several other universities. 

2. The individual in this position will develop and apply in vitro and/or in vivo PBPK or other related dosimetry models for engineered nanomaterials (ENM) in laboratory animals and humans. The goal is to conduct in vitro to in vivo and interspecies extrapolation of ENM pharmacokinetics and toxicity to aid risk assessment. This individual may also develop mechanistic PBPK models to evaluate the effects of ENM size, surface coating, surface charge, or protein corona on ENM pharmacokinetics. This work is mainly based on data collected from the literature and new data obtained from collaborative labs, including the Nanotechnology Innovation Center of Kansas State (http://nicks.ksu.edu/). Experimental or computational experience with ENM would be a plus. 

How to Apply: To apply, please submit an application along with a cover letter, resume and contact information for three professional references at http://careers.pageuppeople.com/742/cw/en-us/job/492936/fellow-post-doc (Position 1) and http://careers.pageuppeople.com/742/cw/en-us/job/492935/fellow-post-doc-anatomy-physiology (Position 2) 

Undergraduate Students 

Undergraduate students who have an interest in applying computational modeling techniques to address problems related to food safety, animal health, nanomaterial toxicology, or risk assessment are encouraged to conduct research projects in the Institute of Computational Comparative Medicine (ICCM) at Kansas State University. Partial financial support might be available depending on fundings. Undergraduate students are also encouraged to apply for Undergraduate Fellowship/Scholarship to conduct research in ICCM. 

Visiting Students/Scholars 

Self-supported visiting students or scholars are encouraged to join Institute of Computational Comparative Medicine (ICCM) to conduct research toward publication in high quality peer-reviewed journals. 

Questions: Please send your inquiry with a copy of updated CV to Dr. Zhoumeng Lin at Zhoumeng@ksu.edu


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