Our client is looking to grow the computational team to expand the current pipeline of approved drugs, and they’re looking for an exceptional modeler to join the team!
You’ll build computational and multiscale models used in the simulation of physiology and pharmacology.
Key Responsibilities:
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Develop mathematical models used to simulate pharmacological processes across different scales (molecular, cellular, tissue, etc)
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Conduct research into new approaches and techniques
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Integrate diverse data sources into model development and optimization (in vitro cell culture, immunoassays, clinical studies, large-scale omics data, etc)
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Implement methods to evaluate impact of uncertainty and variability on model output
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Collaborate with other computational biologists and teams to generate experimental data for ongoing model training and validation
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Create interactive visualizations for the successful communication and presentation at internal and external meetings
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Contribute to authoring of peer-reviewed publications
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Other duties as needed
Qualifications:
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PhD or Master’s degree in mathematics, computational biology, biomedical engineering, or related field
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3+ years of industry experience developing computational models of biological systems
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Expertise in numerical methods relevant to modeling and simulation, including solving systems of ordinary and/or partial differential equations, logic-based, agent-based, Monte Carlo methods
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Fluency in one or more scientific programming languages (e.g. Python, R, Julia, MATLAB)
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Familiarity with quantitative systems pharmacology and other methods of modeling and simulation within drug discovery and development
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Knowledge of molecular and cellular biology and drug development
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Ability to process and analyze large-scale genomic and transcriptomic datasets
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Skilled in statistical and machine learning methods
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Strong data visualization skills, including interactive visualization (e.g. R Shiny or d3.js)