Principal Scientist, Model-Based Meta-Analysis

Make sure to apply with all the requested information, as laid out in the job overview below.

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.

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.

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.
• External collaborations, visibility, and impact : support in engaging in external collaborations within professional associations, 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.

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.
• A minimum of 6 years of relevant work experience in drug development and applied quantitative methods with a Master’s degree or a minimum of 3 years of relevant work experience in drug development and applied quantitative methods with a PhD or equivalent degree is required.
• Familiarity with scientific programming and simulation is required.
• Working knowledge of modeling software, such as R, is required.
• Deep understanding of various mathematical modeling techniques, specifically with a focus on applications in drug discovery and development, is required.
• Experience with Bayesian applications is preferred.
• Experience and knowledge of Good Clinical Practices (GCPs) and regulatory requirements for clinical drug development is preferred.
• Must have strong communication and presentation skills, including fluency in English (writing and verbal).
• Must have a good sense of cultural sensitivity and diversity.
• The ability to build and maintain effective working relationships in a cross-functional team environment is required.
• Up to 10% travel is required.

The anticipated base pay range for this position in the San Francisco Bay Area, CA is $139,000 to $224,825. The anticipated base pay range for this position in all other U.

S. locations is $113,000 to $195,500.

This job posting is anticipated to close on October 7, 2024. Johnson & Johnson is an Affirmative Action and Equal Opportunity Employer.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status.

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