Associate Director Quantitative Data Modeling
Scorpion Therapeutics, Convent Station, New Jersey, us, 07961
Role Summary
Associate Director Quantitative Data Modeling — Morristown, NJ. Lead model-based analyses across population PK/PKPD, disease progression modeling, and advanced methodologies (data analytics, machine learning, mechanistic modeling) to support Sanofi’s internal pipeline with minimal supervision. Responsibilities
Ability to formulate drug development questions and develop modeling and simulation strategies for optimizing model-informed drug development from first-in-human dosing through life cycle management. Conduct with minimal supervision model-based analyses such as population pharmacokinetics (PPK), PK/PD, exposure–response, model-based meta-analysis, clinical trial simulations, and disease progression modeling to drive internal pipeline forward. Conduct innovative quantitative methodologies such as data analytics, machine learning and mechanistic modeling as needed. Qualifications
Required: Ph.D. in pharmacometrics, biopharmaceutics, pharmaceutical sciences, mathematics, statistics, data science, computational biology, chemical/biomedical engineering, system pharmacology, computer science or closely related discipline with at least 5 years of industrial experience and increasing responsibility. Required: Technical expertise in translational and population PK modeling, PK/PD modeling, exposure–response modeling, clinical trial simulation, drug–disease modeling, PBPK modeling, and advanced methodologies such as data analytics, machine learning and mechanistic modeling. Required: Strong background in M&S software (e.g., NONMEM, R, Monolix, Phoenix NLME, PUMAS, Matlab, PKSim, SimCYP, SAS, Python, C/C++, Julia). Required: Excellent oral and written communication skills and strong problem-solving abilities. Required: Demonstrated ability to integrate and analyze internal and external data to support decision making and generate scientific insights; knowledge of industry best practices and regulatory standards. Skills
Strong quantitative skills including mathematics, statistics, data science, AI/ML, etc. Experience with advanced population modeling approaches (e.g., PPK, PKPD) and complex data analytics, AI/ML, and mechanistic modeling. Ability to serve as an M&S representative for clinical development projects and act as a subject matter expert on technical issues. Ability to operate in a multicultural, international team and prepare stand-alone M&S reports with minimal review. Experience preparing regulatory submissions and scientific communications (abstracts, posters, manuscripts). Education
Ph.D. in a relevant field (see Qualifications) or closely related discipline.
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Associate Director Quantitative Data Modeling — Morristown, NJ. Lead model-based analyses across population PK/PKPD, disease progression modeling, and advanced methodologies (data analytics, machine learning, mechanistic modeling) to support Sanofi’s internal pipeline with minimal supervision. Responsibilities
Ability to formulate drug development questions and develop modeling and simulation strategies for optimizing model-informed drug development from first-in-human dosing through life cycle management. Conduct with minimal supervision model-based analyses such as population pharmacokinetics (PPK), PK/PD, exposure–response, model-based meta-analysis, clinical trial simulations, and disease progression modeling to drive internal pipeline forward. Conduct innovative quantitative methodologies such as data analytics, machine learning and mechanistic modeling as needed. Qualifications
Required: Ph.D. in pharmacometrics, biopharmaceutics, pharmaceutical sciences, mathematics, statistics, data science, computational biology, chemical/biomedical engineering, system pharmacology, computer science or closely related discipline with at least 5 years of industrial experience and increasing responsibility. Required: Technical expertise in translational and population PK modeling, PK/PD modeling, exposure–response modeling, clinical trial simulation, drug–disease modeling, PBPK modeling, and advanced methodologies such as data analytics, machine learning and mechanistic modeling. Required: Strong background in M&S software (e.g., NONMEM, R, Monolix, Phoenix NLME, PUMAS, Matlab, PKSim, SimCYP, SAS, Python, C/C++, Julia). Required: Excellent oral and written communication skills and strong problem-solving abilities. Required: Demonstrated ability to integrate and analyze internal and external data to support decision making and generate scientific insights; knowledge of industry best practices and regulatory standards. Skills
Strong quantitative skills including mathematics, statistics, data science, AI/ML, etc. Experience with advanced population modeling approaches (e.g., PPK, PKPD) and complex data analytics, AI/ML, and mechanistic modeling. Ability to serve as an M&S representative for clinical development projects and act as a subject matter expert on technical issues. Ability to operate in a multicultural, international team and prepare stand-alone M&S reports with minimal review. Experience preparing regulatory submissions and scientific communications (abstracts, posters, manuscripts). Education
Ph.D. in a relevant field (see Qualifications) or closely related discipline.
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