(Archived) Precision Animal Health Data Specialist - Modeling and Optimization

Zoetis Veterinary Medicine Research and Development in MI is seeking innovative and highly motivated professionals to be part of an R&D team tasked with using different sets of tools to capture, measure, organize, and model big datasets on diverse livestock production systems. The successful candidate will join a team of animal and data scientists who lead the development and application of novel algorithms for optimization of continuous, automated, and real-time management and monitoring of efficient livestock production, reproduction, health, and welfare to increase productivity and reduce the environmental impact.

Zoetis offers products across a continuum of animal care: genetics, diagnostics, devices and sensors, vaccines and medicines, and seeks to use the power of big data and analytics to enhance the innovation pipeline. In addition, as the world leader in animal health, Zoetis seeks to integrate data and analytics with its diverse portfolio of animal health products to create additional value for customers and enhance overall customer experience.

The successful candidate should have strong skills in economic analysis, statistics, modeling, and big data analytics. Experience with various approaches to modeling complex biological and economic relationships is essential. Candidates will work in a team environment with world-class experts supporting the discovery and development of diverse products across the portfolio. Superior ability to work independently and to collaborate across international and interdisciplinary divisions and teams is required.

Responsibilities:

The major duties will include but are not limited to:

• Development of innovative approaches to uncover insights and connect animal biology, economic factors, and other sources of information to develop new products and improveme animal health and performance.
• Provide expertise to manage and model large data sets from a wide variety of sources and apply alternative analytics and statistical methods to support animal health projects and products.
• Provide leadership in analysis of biological, economic, and spatial data to develop insights into precision animal health, management, and medicine.
• Demonstrate willingness to learn and incorporate new knowledge into projects and strategies to create robust and value-based products.
• Support world-class scientists by providing analytic support and insights from the expansive data within R&D.
• General understanding of animal sciences is desired but not required.

Qualifications:

• DVM, PhD, or equivalent advanced degree in Statistics, Animal Science, Plant Science, Medical Information Science, or Environmental Science is required. Candidates with a MSc would be favorably considered if combined with at least 7 years of relevant experience.
• Demonstrated practical experience in advanced data analytics and statistical modeling, with preference given for experience using multiple sources of complex data to develop and test hypotheses using modern analytical tools.
• Experience implementing analytics algorithms with some programming skills (such as in JAVA, HTML, and Python or similar high-level programming language) is desired.
• Must have advanced data management skills (such as SQL database management using PostgreSQL) and statistical analysis skills (using R, Alteryx, or SAS, Stata, or similar software) is required.
• Familiarity with simulation modeling approaches and software (such as @Risk) will be prioritized.
• Demonstrated skill analyzing large structured and unstructured datasets using big data stores (Cassandra, MongoDB, Hadoop, relational, etc.) will be a plus.
• Experience with statistical analysis vs rules-based approaches will be a plus.
• Passion for learning and for solving complex problems and making a difference.
• Ability to drive a project and work both independently and in a collaborative team.
• Excellent verbal and written communication skills, which includes the ability to present complex topics to non-technical audiences.
• Comfortable working in a rapidly changing environment and willingness to learn new skills and incorporate new ideas.

Full time

Regular

Colleague

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 [Register to View] 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 [Register to View] 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.