Statistician

We are seeking a highly motivated individual to join a recently formed Non-Clinical and Diagnostics Statistics group with experience in one or more areas of experimental design, regression, multivariate, AI, quality control, Bayesian methods and simulation. The qualified applicant will work broadly across the company in diagnostics and device development, analytical chemistry, pharmaceutical development, discovery and biomarker development and CMC.

The successful candidate will work in close partnership with laboratory scientists, engineers, and others to develop and implement fit-for-purpose study designs, experimental plans and analyses to enable robust data-driven decision making and timely delivery of project objectives. Willingness to understand laboratory methods, device, vaccine and biopharmaceutical development, discovery and biomarker development, and CMC processes in order to better communicate, partner with and educate colleagues is essential.

The candidate will be expected to lead statistical aspects of discovery and development activities spanning diverse teams at various stages including product discovery, development, devices, validation, and commercialization. They will also provide guidance on data collection and retrieval and may need to work with teams to develop systems / programs to allow individual scientists to generate their own visualizations and analyses where appropriate.

The colleague will need to also support submission related activities spanning non-clinical development processes such as, but not limited to, assay and process development / validation, specifications. Our department is highly collaborative, and colleagues are expected to actively participate in group meetings and follow standard departmental procedures.

The successful candidate must have excellent communication skills, the ability and desire to work with large, complex teams of scientists, and have the ability to work across multiple projects simultaneously. This role requires cross site support and occasional travel may be required.

Education :

PhD in Statistics (or related field with extensive training in statistical methods), preferably with 6+ years industry experience

MS in Statistics (or related field with extensive training in statistical methods) with 10+ years of industry experience

Essential Skills and Attributes :

• Knowledge of data handling, statistical analysis and programming in PC-SAS, JMP and R
• Experience with, but not limited to, statistical design and analysis of experiments, QbD, assay / process validation, data visualization.
• Experience working in, but not limited to, one or more areas in developing / validating : medical devices, pharmaceutical products, assay technologies (e.g., PCR, genetic assay technologies, HPLC, etc), robust processes, and robust formulation.
• Experience and a desire to mentor and coach early in career peers.
• Experience leading teams through complex issues to address business needs
• Excellent oral and written communication and statistical consulting skills
• Ability to critically review scientific publications
• Highly organized, able to manage multiple simultaneous projects and significant attention to detail
• Works well in a team environment and consistently follows standard operational practices
• Champion the use of established and innovative statistical methods across the entire organization
• Desire and curiosity to learn about the science and business.

Desirable Skills and Attributes :

Full time

Regular

Colleague

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Zoetis is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status or any other protected classification. Disabled individuals are given an equal opportunity to use our online application system. We offer reasonable accommodations as an alternative if requested by an individual with a disability. Please contact Zoetis Colleague Services at zoetiscolleagueservices@zoetis.com to request an accommodation. Zoetis also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as employment eligibility verification requirements of the Immigration and Nationality Act. All applicants must possess or obtain authorization to work in the US for Zoetis. Zoetis retains sole and exclusive discretion to pursue sponsorship for the acquisition or maintenance of nonimmigrant status and employment eligibility, considering factors such as availability of qualified US workers. Individuals requiring sponsorship must disclose this fact. Please note that Zoetis seeks information related to job applications from candidates for jobs in the U.S. solely via the following : (1) our company website at www.Zoetis.com / careers site, or (2) via email to / from addresses using only the Zoetis domain of "@zoetis.com". In addition, Zoetis does not use Google Hangout for any recruitment related activities. Any solicitation or request for information related to job applications with Zoetis via any other means and / or utilizing email addresses with any other domain should be disregarded. In addition, Zoetis will never ask candidates to make any type of personal financial investment related to gaining employment with Zoetis.

About Zoetis

At Zoetis , our purpose is to nurture the world and humankind by advancing care for animals. As a Fortune 500 company and the world leader in animal health, we discover, develop, manufacture and commercialize vaccines, medicines, diagnostics and other technologies for companion animals and livestock. We know our people drive our success. Our award-winning culture, built around our Core Beliefs, focuses on our colleagues' careers, connection and support. We offer competitive healthcare and retirement savings benefits, along with an array of benefits, policies and programs to support employee well-being in every sense, from health and financial wellness to family and lifestyle resources.

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