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Post Doc Associate
Department: 3670053010 K-State Olathe
Job no: 510506
Employment type: Staff Full Time (Unclassified - Regular)
Location: Olathe, Kansas
Categories: Research / Scientific / Grants, Veterinary Medicine, Food Safety, Food Science, Food Systems
Pay Grade: 001
Post Doc Associate
About This Role:
The 1 Data Consortium at K-State Olathe, Olathe, KS and College of Veterinary Medicine at the North Carolina State University (NCSU), Raleigh, NC seek applications for a postdoctoral scholar in the area of mixed-effect modeling (100% time) applied to human food safety. We are looking for a researcher whose interests are in mixed effect modeling in pharmacology/pharmacokinetic data and a researcher with a methodological and application focus.
The postdoctoral fellow will have the opportunity to model comparative pharmacokinetic data in the Food Animal Residue Avoidance Databank (FARAD) and relevant physiological and pathophysiology data in an intellectually vibrant environment with ample mentorship. The appointment is performed at both NCSU in Raleigh and K-State Olathe in Olathe, KS; therefore, the successful applicant is expected to rotate between both research labs during the 2-3 year period. The FARAD project has been fortunate to be funded by the USDA for the last 38 years. The FARAD researchers are respected Global leaders in developing and applying pharmacometrics approaches in understanding and helping alleviate harmful drug and chemical residues from appearing in our nation's food supply.
We are looking for an independent researcher who should possess experience with applications in methodological and/or applied mixed-effects modeling, Bayesian modeling, and Monte-Carlo Simulation techniques. Our research group across both Universities provides a stimulating modeling environment by encouraging active collaborations with scientists trained in biostatistics, computational biology, bioinformatics, and pharmacology/toxicology.
The primary aim of this joint research collaboration between NCSU and K-State is to better understand the many factors that influence the pharmacometrics of drugs and environmental contaminants across multiple species, and especially food animal species, as these estimates can significantly impact the occurrence of drug residues in our nation's food and ultimately of food safety importance. The postdoctoral fellow may be involved in the evaluation of the utility of model solutions and seek the determination of pharmacometric models to leverage information with strong feedback characteristics. The developed pharmacometric models may be used to describe and predict the impact of the following on drug residues in food animals: animal/patient demographics, food animal production systems, patho-physiological processes relating to disease state and/or disease progression in animals, and pattern and magnitude of exposure to a given pharmacologic or environmental agent. This work could also include the potential use of models to guide experimental/clinical trial design and for hypothesis testing, as both research labs are part of the animal and analytical chemistry support teams. The proposed research will provide a key foundation for our future studies in order to achieve our long-term goal which is to contribute to the development of a web-based mixed effect model interfaces for more drugs in multiple food animal species (e.g., swine, cattle, poultry, goats, or sheep) for real-time drug and chemical residue avoidance guidance. This is envisioned as a multipurpose platform that will integrate and analyze disparate sources of safe withdrawal intervals of drugs and chemicals in food-producing animals for integration into a single platform for the FARAD (www.FARAD.org).
• Model comparative pharmacokinetic data in FARAD and relevant physiological and pathophysiology data in an intellectually vibrant environment with ample mentorship.
• The appointment is performed at both NCSU in Raleigh and K-State Olathe in Olathe, KS; therefore, the incumbent is expected to rotate between both research labs during the 2-3 year period.
• This work will also include the potential use of models to guide experimental/clinical trial design and for hypothesis testing, as both research labs are part of the animal and analytical chemistry support teams.
• The developed pharmacometric models will be used to describe and predict the impact of the following on drug residues in food animals: animal/patient demographics, food animal production systems, patho-physiological processes relating to disease state and/or disease progression in animals, and pattern and magnitude of exposure to a given pharmacologic or environmental agent.
• Involved in the evaluation of the utility of model solutions and seek the determination of pharmacometric models to leverage information with strong feedback characteristics.
This position is full-time, exempt, and benefits eligible.
Why Join Us:
Kansas State University's Olathe campus was launched in April 2011 and is the third and newest campus in the university's system. The campus is located in Johnson County and the Greater Kansas City metro area. The campus is a strategic partner of the Johnson County Education and Research Triangle, which was created in 2008 when residents invested in the county's future by voting for a one-eighth cent sales tax. The proceeds from this tax generate more than $15 million a year to fund higher education through a unique partnership among Johnson County, the University of Kansas, and Kansas State University.
Kansas State University offers a comprehensive benefits package that includes health insurance, life insurance, retirement plans, paid time off - vacation, sick, and holidays. To see what benefits are available, please visit: https://www.k-state.edu/hcs/benefits
We Support Diversity and Inclusion:
Kansas State University embraces diversity and inclusion. The university actively seeks individuals who foster a collegial environment and cooperative interactions with coworkers, students, and others. The University is dedicated to promoting the https://www.k-state.edu/about/community.html
To be Successful You Will Need:
• Doctoral degree
Preferred Education and Qualifications:
• Doctoral degree in a field such as data science, biomedical sciences, statistics and mathematics, computer science, or engineering.
• Outstanding, intellectually curious researchers at an early stage of their scholarly career.
• Demonstrated capacity for independent work, and will be expected to engage with researchers and faculty and participate in activities convened by our Initiative.
• Teaching or research experience in at least one of the following core areas:
• Research design and data analysis in applied statistics and mathematics
• Data engineering, storage, retrieval
• Visualizing and communicating data
• Experiments and causal inference
• Large-scale data mining and analysis
• Applied regression and time series analysis
• Deep learning
• Network analysis
• Self-motivation, attention to detail, persistence, diligence, and the ability to work in a distributed team are essential attributes for the individual undertaking this position.
• Familiarity with animal and human data structures would be beneficial.
• Experience and proficiency in some aspects of mathematical modeling, as well as a basic knowledge of statistics, biology, physiology, and pharmacology.
• High level of proficiency in scripting, mathematical modeling, code-based analysis, interpreted analysis, or big data analysis.
• Basic knowledge of statistics as well as the ability to understand the application of mathematical models that represent and facilitate the analysis of complex systems would be beneficial
• Programming experience in C++, C#, .NET, MATLAB, Python, SAS, R, Mathematica, or equivalent is preferred.
• Excellent spoken and written English communication skills are prerequisites.
Applicants must be currently authorized to work in the United States at the time of employment.
How to Apply:
Required application documents (in PDF format) include:
• A cover letter
• A CV
• A statement of research interests of up to three pages that succinctly describes the applicant's research. The statement should explain the importance and potential impact of this research.
• Up to three representative papers.
• Names and contact information for three professional references.
Application materials must be submitted online to be considered.
For questions regarding the position, please contact Dr. Majid Jaberi-Douraki, Associate Professor, 1DATA Consortium (search committee chair) at mailto:email@example.com or mailto:Ronald_Baynes@ncsu.edu.
For more information about our initiative, please visit http://www.farad.org/.
For questions regarding the recruitment process, please contact Roberta Robinson at mailto:firstname.lastname@example.org (913.307.7316).
Screening of Applications Begins:
April 19 and will continue until the position is filled.
Anticipated Hiring Salary Range:
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.
Advertised: Apr 09, 2021
Application Closes: Open until filled
To apply, visit https://apptrkr.com/2233665