Background:

C-Path has a strong reputation of developing innovative solutions for drug development. We apply scientific and operational excellence across all stages to the generation of such solutions. We coordinate public-private-partnerships with top pharmaceutical organizations in therapeutic areas which include but are not limited to neuroscience, cardiorenal, immunology and metabolism. The integration of knowledge of mathematical, statistical, and programming methods, in support of developing, evaluation, maintaining, and enhancing quantitative solutions for drug development is an exciting field of scientific activity at C-Path.

Position Summary:

The Quantitative Medicine Scientist 1 (QMS1) will synthesize statistical or modeling analysis plans for the generation of tangible solutions for drug development. This individual should will be able to identify multiple quantitative methods and choose the most appropriate method based on quantitative considerations as well as scientific considerations and the available data to base the methods on. Quantitative methods used by the Quantitative Medicine Program include, but are not limited to pharmacometrics, biostatistics, applied mathematics for digital data, and artificial intelligence. A QMS1 should be able to communicate effectively in modeling work group calls within C-Path-coordinated public-private-partnerships with external stakeholders. They also should have strong writing skills to contribute to the scientific content of manuscripts, posters, grants, and other external communication documents. Progression to QMS 2 and 3 positions will constitute promotions based on strengthening specific technical skillsets / programming languages, mathematical modeling techniques, and key contributions to regulatory projects.

Required skills:

Technical problem-solving skills
Ability to communicate effectively and add value in a team environment
Ability to continuously learn new methodological approaches both in technical and leadership aspects of daily activities
Lead technical discussions such as co-chairing a specific work group within C-Path-coordinated public-private-partnerships.
Familiarity of FDA and EMA regulatory pathways
Ability to provide the technical leadership of projects by developing specific analysis plans.
Ability to execute the specific quantitative methods analyses from the analysis plan and complete thorough diagnostics and evaluation of the utilized methods
Ability to synthesize new ideas Proficient use of Microsoft Office Suite: Word, Excel, PowerPoint, Outlook.
Ability to utilize pharmacometric modeling and simulation tools (e.g., NONMEM, Phoenix [Winnonlin, NLME], Stan, BUGS)
Proficient in programming in at least one of the following: R, Python or SAS
Additional expertise with other quantitative tools (e.g., SIMCYP, GastroPlus, Matlab) or programming languages (e.g., C++, Java, Perl) a plus
Proficient use of Microsoft Office Suite: Word, Excel, PowerPoint, Outlook.
Ability to utilize pharmacometric modeling and simulation tools (e.g., NONMEM, Phoenix [Winnonlin, NLME], Stan, BUGS)
Travel on occasion for out of town meetings (approximately 15%)

Education and Training:

PharmD with training in pharmacometrics, PhD in applied mathematics, statistics, engineering, pharmaceutical sciences or similar

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