Computational Toxicologist/Developer – SciMetrika – Research Triangle Park, NC

Job ID: 5633
Job date: 2016-06-17
End Date:

Company : SciMetrika 

Country :

Role : Research Scientist 


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Job Description:
Job Descriptions:
ScitoVation is seeking a motivated, self-driven individual to participate in a collaborative project to develop state-of-the-art computational toxicology tools and techniques. This work will produce an ambitious, high-visibility pipeline capable of interfacing with pathway models to assess the range of chemical effects on human health. The successful candidate will work in a team environment to develop an open-source computational modeling platform of the exposure source-to-health outcome continuum, incorporating variable populations across several life stages. The position will involve:
Incorporation and assessment of the various computational tools for exposure, population generation, and existing ScitoVation models implementing reverse dosimetry modeling, quantitative bias analysis and life-stage modeling.

Compilation of a parameter database to ensure consistent data streams between models.

Recasting state-of-the-art models to work as plug-ins to the pipeline, and the design of unit tests that ensure the correctness of the models.

Development of a pipeline in the R statistical language that will incorporate a graphical user interface linking several single-purpose toxicological programs into a one-stop unified toxicological research pipeline.

Interaction with a group of wet-lab and computational scientists with a wide-range of expertise corresponding to various steps in the model.

Collaboration with internal and external scientists in both government and industry sectors.

Required Experience:
Required experience:
A Ph.D. degree in science or engineering is preferred. Preferred areas of study include computational sciences, mathematics, chemistry, and statistics.

Preferred modeling experience includes pharmacokinetics modeling, biological pathway modeling, cheminformatics, and/or statistics.

Proficiency in at least one scientific programming/data analysis language (python, R, etc.)

Familiarity with computational modeling of biological systems is desired.

Experience with project management is desired.

Strong communication skills and a willingness to collaborate is a must.
Keyword: Computational, Toxicology, Developer, Programming, Pharmacokinetics, Cheminformatics, Statistics, Bioinformatics, Modeling, Python, Biological
From: SciMetrika


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