The Manufacturing, Toxicology, and Applied Statistical Sciences (MTASS) at Janssen R&D is seeking an individual to join the team. The scope of the MTASS team focuses on needs outside traditional clinical trials. This includes manufacturing, and safety sciences.
Supervision of at least five direct reports, which may include the management of employees at multiple locations.
Strategic and technical leadership is required both internally and externally.
Collaboration with researchers on experimental design, data analysis, interpretation and communication of data evidence for research, development, and/or marketed product needs in Janssen R&D or other J&J organizations.
Serve as a statistics representative for cross-functional teams.
Insure appropriate research and application of statistical methodology is essential.
Lead and co-authorships of publications and presentations.
Skills and Knowledge:
Good oral and written skills are crucial, as is the desire to learn enough of the relevant science to interact effectively.
Knowledge of linear mixed models and multivariate analysis is essential.
Exposure to modern data analysis techniques and experiences such as data visualization, robust statistics and analysis of high-dimensional data is desirable.
Excellent software skills are essential.
Facility in the R language is expected.
A successful candidate must be constantly eager to expand their statistical, communications, and computing expertise.
The individual must also enjoy the process of building long-term collaborative relationships, be at ease with either a non-rigid or rigid structure to projects, and be organized in handling numerous projects simultaneously.
Participation in the external professional community is expected as well.
Qualifications
Required Experience:
PhD in Statistics or related field +9 years of experience or a Master’s degree in Statistics or related Quantitative Sciences with +13 years of experience.
At least four years of experience managing and leading statistical aspects of R&D.
Experience managing direct reports.
Proficiency of R or SAS statistical software.
Demonstrated written, oral, and personal communication skills.
Ability to work autonomously and within a team environment.
Demonstrated ability to work in interdisciplinary contexts outside statistics.
Demonstrated team leadership skills.
Experience producing publications.
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