Senior Statistician, Modeling & Decision Sciences

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Job Description

Janssen Research & Development part of the Johnson & Johnson Family of Companies is recruiting for a Senior Statistician, Modeling & Decision Sciences located in San Diego, CA.

At the Janssen Pharmaceutical Companies of Johnson & Johnson, we are working to create a world without disease. Transforming lives by finding new and better ways to prevent, intercept, treat and cure disease inspires us. We bring together the best minds and pursue the most promising science. We are Janssen. We collaborate with the world for the health of everyone in it. Learn more at and follow us @JanssenGlobal. Janssen Pharmaceuticals, LLC is part of the Janssen Pharmaceutical Companies.

You, the Senior Statistician will be responsible for: supporting the identification of opportunities to utilize innovative designs and statistical analysis methods in drug development; supporting the implementation of approaches to improve quantitative decision making at program and portfolio levels, including development and application of model-based meta-analysis (MBMA) to aid in development decisions; proposing and developing innovative designs and analysis methods (using both internal and external data) and evaluating them via simulation studies and other appropriate instruments; interacting with clinical teams to ensure the proper implementation of innovative approaches in clinical trials and development programs; supporting internal training on innovative designs and methods to ensure adequate knowledge and awareness of these approaches in the company; and participating in external collaborations and interactions (via professional associations, participation in conferences, publications, etc.) to influence the external pharmaceutical industry and regulatory environment.

Main Accountabilities:

• Support implementation of strategy to ensure broader utilization of innovative approaches across the development portfolio, using internal and external data sources, through coordinated efforts involving clinical, operational, regulatory areas, with a focus on methods and approaches to improve decision making at a portfolio level (e.g., MBMA, Bayesian Decision Analysis, Probability of Success, expected Net Present Value estimation, etc.).
• Help bring together key stakeholders from different key areas and identify potential hurdles for broader use of innovation in drug development and participate in finding solutions for them.
• Support development and implementation of innovative approaches: participate in hands-on implementation of innovative approaches, through direct interactions with clinical teams and other relevant groups. This involves helping develop and identify appropriate designs and methods; planning, running, and summarizing simulation studies to evaluate the operating characteristics of alternative designs and methods; and participating in the implementation of the selected approaches by engaging in protocol and SAP write-up.
• Support identification of opportunities for innovation: participate in CDP reviews/discussions, interact directly with clinical teams for early identification of opportunities for innovative approaches.

Additional Accountabilities:

• Ensuring proper knowledge and awareness of innovative methods and designs: support identification, development, organization and deployment of training and presentations on innovative approaches across the Development organization (including statisticians, modelers, clinicians, and other stakeholder groups) to ensure awareness and adequate knowledge about these methods. Keep up-to-date knowledge of designs and analysis methods for clinical trials, including MBMA, adaptive designs, model-based methods, etc.
• External collaborations, visibility, and impact: engage in external collaborations within professional associations (e.g., ISoP, ASA, PhRMA), organizing sessions and presenting at scientific meetings, and publishing in peer reviewed journals.
• Carry out functional responsibilities in accordance with applicable SOPs/Guidelines and Regulatory requirements
• Assists in process improvement initiatives and SOP/Guideline development


• A Doctorate (Ph.D.) or equivalent in Statistics, Engineering or related field, with familiarity with drug development and/or applied quantitative methods for decision making, significant familiarity with scientific programming and simulation OR a master’s degree in Statistics, Engineering or related field with a minimum of six (6) years of relevant work experience. Consideration will be given to candidates with documentation indicating that all the requirements for the Ph.D. have been met prior to the start date.
• Working knowledge of statistical software, such as R, SAS, WinBUGS, or Matlab R
• Deep understanding of statistics and probability
• Fluent in written and spoken English
• Ability to build and maintain effective working relationships inside and outside the department; ability and willingness to work in a cross-functional team environment (building strategic working relationships)
• Ability to multi-task and prioritize assignments, establishing course of action to ensure that work is completed efficiently and in a timely manner (planning, organizing and time management)
• Actively identifying new areas for learning, and application to the job (continuous learning)
• Good sense of cultural sensitivity and diversity (cultural diversity)
• Self-motivated with the ability to work independently with minimal supervision (personal accountability)
• Ability to interface with people of various groups (e.g., biostatistics, clinical pharmacology, clinical, etc.) and disciplines
• Ability to thrive in a global, matrix environment

• Sound knowledge of biostatistics applied to clinical trials and model-based drug development
• Deep understanding of probabilistic concepts accompanied by familiarity with decision strategy
• Experience with trial simulations to design and document adaptive trials and working knowledge of Bayesian methods.
• Stay current with the latest statistical methodologies with focus on trial optimization, simulation and adaptive designs.
• Experience and knowledge of Good Clinical Practices and regulatory requirements for clinical drug development, including the conduct of clinical trials
• Excellent verbal and written communication skills, including formal presentation skills. Experience presenting to technical and lay groups at public meetings desirable. Written skills as evidenced by publication and journal articles also desirable.

This position may require up to 10% domestic and international travel. 

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 and will not be discriminated against on the basis of disability.

Primary Location
United States-California-San Diego-
Janssen Research & Development, LLC (6084)
Job Function
Requisition ID