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Human Capital Services

Fellow (Post Doc) (Computational Toxicology & Pharmacokinetic Modeling)

Apply now Department: 3670080020 Anatomy & Physiology
Job no: 507326
Work type: Staff Full Time (Unclassified)
Location: Manhattan, Kansas
Categories: Research / Scientific / Grants, Veterinary Medicine
Pay Grade: 001

About this Role:

The Institute of Computational Comparative Medicine (ICCM) and Department of Anatomy and Physiology within College of Veterinary Medicine are seeking applicants for a Fellow (Post Doc) to work in the Computational Toxicology and Pharmacokinetic Modeling Laboratory of Dr. Zhoumeng Lin. The incumbent of this position will be responsible for designing and developing physiologically based pharmacokinetic (PBPK) models for chemicals or nanoparticles in animals and humans for food safety assessment or risk assessment. This individual will also apply machine learning and neural network modeling methods to study the association of nanoparticle physiological properties and tissue distribution. This individual will receive training in PBPK modeling, dose-response assessment, risk assessment, computational toxicology, machine learning and/or neural network modeling.

We Support Diversity and Inclusion:

Kansas State University embraces diversity, and promotes inclusion in every sector of the institution. The university actively seeks candidates whose commitments and contributions will advance the University's commitment to the Principles of Community. 

Duties / Responsibilities:

The incumbent of this position will be mainly responsible for the development and applications of physiologically based pharmacokinetic (PBPK) models. Specific responsibilities include:

  • To design and develop PBPK models for environmental chemicals (e.g., per- and polyfluoroalkyl substances [PFAS]) or nanoparticles in animals and humans
  • To design and develop PBPK models for drugs in food-producing animals
  • To convert the developed PBPK models to web-based interfaces
  • To apply the PBPK models to conduct risk assessment
  • To use machine learning and neural network modeling methods to study the association between nanoparticle physicochemical properties and tissue distribution

Other responsibilities include:

  • Present research findings in professional conferences, such as Society of Toxicology, American Conference on Pharmacometrics, and American Academy of Veterinary Pharmacology and Therapeutics
  • Write manuscripts toward publication in high quality peer-reviewed journals in the field of pharmacology and toxicology
  • Prepare documents for grant applications and progress reports
  • Collaborate with other lab members and help on other computational modeling projects that are active in the lab, including quantitative systems pharmacology modeling projects, population-based nonlinear mixed effects pharmacokinetic (popPK or NLME-PK) modeling projects, and probabilistic risk assessment projects.

Required Minimum Qualifications:

  • Ph.D. in pharmacometrics, pharmacology, toxicology, epidemiology, biostatistics, environmental health, bioinformatics, engineering, or a related field
  • Strong interest in computational pharmacology and toxicology modeling
  • Willing to learn new knowledge and computational modeling techniques
  • Good verbal and written English skills

Preferred Qualifications:

  • Ph.D. in which dissertation research was related to pharmacometric, pharmacokinetic, systems pharmacology, biostatistical, or bioinformatic modeling
  • Experience doing physiologically based pharmacokinetic (PBPK) modeling, quantitative systems pharmacology (QSP) modeling, population pharmacokinetic (popPK) modeling, dose-response modeling, biostatistical analysis of epidemiology/toxicology data, metabolomics analysis, or other relevant quantitative pharmacology and biostatistical skills
  • Experience with one of the following software programs, including R language, MATLAB, Systems Biology Markup Language (SBML), Pharmacometrics Markup Language (PharmML), Berkeley Madonna, acslX, Phoenix, PK-Sim, MoBi, Simcyp, or GastroPlus
  • Ability to professionally interact with collaborating scientists involved in these projects

Special Instructions to Applicants:

Please submit cover letter, resume, and contact information for three professional references 

Screening of Applications Begins:

Screening of applications begins immediately

Salary Range / Pay Rate:

$ 47,476 - $ 65,000 annual salary

Equal Employment Opportunity:

Kansas State University is an Equal Opportunity Employer of individuals with disabilities and protected veterans and actively seeks diversity among its employees.

Background Screening Statement:

In connection with your application for employment, Kansas State University will procure a Background Screen on you as part of the process of considering your candidacy as an employee. 

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