Principal Scientist, Model-Based Meta-Analysis

hace 4 semanas

Madrid, España Importante Empresa A tiempo completo

.Johnson & Johnson is currently seeking a Principal Scientist, Model-Based Meta-Analysis (MBMA). This position can be located in San Diego, CA; Titusville, NJ; Raritan, NJ; or Spring House, PA. Additional Johnson & Johnson Innovative Medicine sites within the United States may be considered.At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow.The Quantitative Sciences and Clinical Pharmacology (QSCP) group at Janssen uses mathematical modeling techniques to integrate data from various sources to facilitate model-informed decisions for drug development.The Model-Based Meta-Analysis (MBMA) group provides the quantitative expertise in building integrative models from published clinical trials to facilitate benchmarking, Go/No-go decisions and staged clinical trial design. The group works with clinical development teams across various therapeutic areas to find opportunities to apply such integrative models in informed decision making. This individual will report to the Head of the MBMA group.Principal Responsibilities: Develop MBMA models based on internal and external aggregate-level data.Support clinical development teams through utilization of MBMA models to improve clinical trial design and decision making.Effectively communicate results through presentations and summarize methods and results through reports and other documents.Work collaboratively across various functions to support the identification of new opportunities for data-informed decision making at program and portfolio levels.Support initiatives to collaborate with other quantitative groups to create value in the Janssen pipeline and contribute to Janssen as a leader in model-informed drug discovery and development.Engage in external collaborations within professional associations (e.G., International Society of Pharmacovigilance (ISoP)), presenting at scientific meetings, and publishing in peer-reviewed journals.Carry out functional responsibilities in accordance with applicable SOPs/Guidelines and Regulatory requirements.Assist in process improvement initiatives and SOP/Guideline development.Work closely with Clinical Development Leads (CDLs) and other Clinical Development Team (CDT) members as well as members within Clinical Pharmacology and Pharmacometrics and Statistical and Decision Sciences.Work with external vendors as needed.Qualifications: A minimum of a Master's degree in Statistics, Engineering or a related discipline is required. PhD or equivalent degree in Bioengineering, Biostatistics, Data Science or a related discipline is preferred

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