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Associate Scientist, Pharmacometrics
Tabula Rasa HealthCare, Inc in Lake Nona, Florida
 
 
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Date Posted August 21, 2019
Category
Science-Pharmacology

Employment Type Full-time
Application Deadline Open until filled
 
 
 
 
 

The Associate scientist will implement pharmacometrics approaches supporting TRHC?s clinical decision support system (CDSS) softwares. The successful candidate embraces modeling and simulation strategy, masters disease conditions, exposure-response, PK and PK-PD models to facilitate and to support the TRHC?s CDSS development. This person will work in collaboration with other research and clinical scientists in the Precision Pharmacotherapy Research & Development institute for the integration of generated data and knowledge into the overall program strategies, to improve the efficiency of the TRHC?s CDSS, improve our mechanistic understanding and provide scientific rationale. This is an exciting opportunity to be part of a high-impact clinical pharmacology team and collaborative setting.

TRHC Scientific Precision Pharmacotherapy Research & Development Institute (SPPRDI) is committed to the development of proprietary products, their validation and recognition by the scientific and regulatory communities to optimize medication regimen in order to improve patient outcomes, reduce utilization of various healthcare services, lower healthcare costs, and manage risk.

  • Developing modeling and simulation strategy to support TRHC?s CDSS and Medication Risk stratification.

  • Apply simulation methods to support clinical programs.

  • Participate in the preparation of reports/abstracts/manuscripts for publications and regulatory documents.

  • Complies with all applicable regulations, maintains proper records in accordance with SOPs and policies.

 

Education:

  • PharmD or MD plus PhD from an accredited institution in pharmaceutics, pharmacokinetics, pharmacometrics, biostatistics, engineering disciples or related fields

Experience:

  • Strong proficiency in R programming, and in non-linear mixed effects modeling softwares.

  • Experience with programming clinical data sets and hands-on modeling experience.

  • Experience in research (post-doctoral studies; up to 2 year) would be advantageous.

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