Associate Director, Biostatistics - 0801813
Johnson & Johnson (San Diego, California)

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Johnson & Johnson Pharmaceutical Research & Development, L.L.C. (J&JPRD), a member of Johnson & Johnson's Family of Companies, is recruiting for an Associate Director, located in La Jolla, California. J&JPRD develops medical treatments that improve the health of lifestyles of people worldwide. Research and development areas encompass novel targets in neurological disorders and pain, hematology, metabolic disorders, and immunologic disorders. The successful candidate will be supporting phase I and proof-of-concept (PoC) trials (phase 1b, 2a, 2b) in various therapeutic areas. He/she will contribute to business critical discussions by using the data to draw inferences that guide the development of new drugs into full development stage. Key responsibilities include: providing statistical support to PoC study design and analysis and interpretation of scientific data with minimal review; representing statistics in cross-functional teams; authoring statistical section of protocols, statistical analysis plans and statistical programming specifications; supporting case report forms development and data management plan; performing data analyses and data quality check; collaborating with clinicians and statisticians in advanced modeling and simulation group to further explore study database; presenting study results to project teams and providing statistical input to clinical study reports; assisting and mentoring new statisticians and programmers with team deliverables. The candidate is also expected to make innovative statistical contributions to study design and data analysis such as collaborating with clinicians on new study designs, selecting best analysis methods to further explore trail database, and lead in an area of process/standard development or technical expertise.




Qualifications

The candidate should have a PhD degree in statistics or related fields and 5+ years of pharmaceutical industry experience. Proficiency with computers and software packages (e.g. SAS, S-plus, R) is required. The candidate should have genuine interest in applications, strong statistical training, and demonstrated communication skills, and ability to work independently. He/she exhibits competencies in the areas of team working, delivery of results, adaptability to latest technology development, and understanding on clinical background information and/or regulatory requirements.

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