Senior Statistician

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 Med Tech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.

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Data Analytics & Computational Sciences

Biostatistics

Scientific/Technology

Raritan, New Jersey, United States of America;
Spring House, Pennsylvania, United States of America

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.

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Johnson & Johnson Innovative Medicine (JJIM) Research & Development, L.L.C., is recruiting a Senior Statistician to be located at Raritan, NJ, or Spring House, PA. (remote may be considered)

The Senior Statistician provides statistical services including analysis, interpretation, design, and reporting or communication of data evidence for research, development, and/or marketed product needs in J&J Innovative Medicine. This position supports statistical aspects of business-critical and/or regulatory commitments. He/She abides by the Credo and practices J&J Leadership Imperatives for Individuals:
Lead, Shape, Connect, and Deliver.

Demonstrates advanced data analytic expertise based on a foundation of statistical principles and a track record of applied experience. Is effective in the use of relevant computational tools for study, experiment, or trial research objectives. Applies high quality statistical methodology in assigned projects with demonstrated understanding of the disease/scientific/functional area and health authority acceptability. Ensures application of appropriate statistical methods and generation of accurate and reproducible results working independently or by providing specifications to statistical programming colleagues.

Produces clear, concise, well-organized, and error-free computer programs and statistical reporting content.

Quality and Compliance: Complies with organization and company standard operating procedures in timely fashion, such as training and project time accounting. Understands and aligns with relevant regulatory guidances. Contributes high quality and timely deliverables as assessed by stakeholders such as the project team, the clinical trial team, and the Statistics Area Head. Ensures that documents, specifications, programs, and macros are consistent and comply with project and company standards.

Follows best practices for Data Integrity.

Drug Development: Acquires and demonstrates knowledge in pharmaceutical research and development strategies and execution. Assists in providing experimental design, modeling, analysis planning, analysis execution, interpretation, and statistical communications support. Is accountable for execution of individual project responsibilities, including: meetings with necessary project team members, reporting activities, exploratory analyses/graphics, and additional analyses to support publications for individual clinical trials/studies/projects. Provides critical input to the statistical lead or team in optimizing study or trial designs in line with study or trial objectives, and supports scenario simulations and sample size calculations based on relevant technical and disease/scientific/functional area knowledge.

Collaboration: Establishes and maintains effective and efficient interfaces and relationships with internal and external customers, with support of Statistics & Decision Sciences (SDS) management. Routinely contributes to area (e.g. discovery, translational early development, late development) project meetings. Contributes positively to SDS team dynamics with a clear understanding of the SDS vision.

Process: Deep knowledge of data architecture, such as Data Standards. Recognizes the need and value of process standardization.

External Engagement: Participates as a member of professional organizations, such as attending meetings sponsored by professional organizations.

• Serves as initial consultation contact for new projects. Maintains and grows customer base,…