Statistical and Computational Data Scientist
Zoetis

Kalamazoo, Michigan

This job has expired.


Role Description

Zoetis Veterinary Medicine Research and Development is seeking an innovative and highly motivated professional to be part of a team tasked with developing models for Precision Animal Health. The successful candidate will support development of data and information products for livestock and will be responsible for translating research procedures and pipelines to commercial products and working with commercial teams to deploy them.

The candidate should have strong skills in computer science, mathematics, computational modelling, and statistical analytics using the latest tools and methods available. Experience with big data analysis, machine learning, and deep learning strategies is essential. The selected candidate will work in a diverse and dynamic team environment with other Zoetis scientists, including quantitative geneticists, molecular geneticists, bioinformaticians, data scientists, and veterinarians supporting the discovery and development of products. The selected candidate will contribute to the development and application of multi-omics prediction algorithms for optimization of novel treatment, diagnostic, and preventive solutions for the management of the health, wellbeing, productivity, and welfare of livestock and companion animals.

Responsibilities:

The major duties will include but are not limited to:

  • Provide expertise to manage big data sets from a wide variety of sources, develop data pipelines for internal projects and product workflows, and apply analytics and statistical analyses to support animal health projects and products.
  • Provide support for annotation, imputation, and filtering of phenotypic and multiomic datasets on both companion animals and livestock.
  • Provide leadership in the analysis of biological and spatial data to develop insights into precision animal management and precision medicine.
  • Demonstrate willingness to 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.

Qualifications:
  • PhD degree in Computer Science, Statistical Genetics, Animal Science, Dairy Science, Plant Science, Computational Biology, Statistics, or other related fields OR MS degree in one of above fields with minimum 3 years of experience.
    • Prior qualifications with demonstrated experience in veterinary or biological sciences is highly desirable.
  • Extensive programming experience in Python, R, C++, Java or a similar programming language or tool.
  • Demonstrated skill in the analytical and statistical analysis of large structured and unstructured datasets using R, Python, MATLAB or a similar high-level programming tool.
  • Preference will be given to a candidate with extensive experience in data management strategy, using tools like SQL & NoSQL, MongoDB, Cassandra, and distributed data management platforms in both in-house and cloud setups.
  • Experience working with machine learning, linear regression, decision trees, ensemble learning with bagging and boosting, SVM, clustering, time-series and forecasting algorithms, deep learning algorithms, predictive modelling, or any other advanced statistical techniques.
  • Experience working with data access and data ingestion APIs.
  • Experience in building KPI dashboard using analytical and visualization tools such as Tableau, PowerBI etc, and working in cloud environments - Microsoft Azure or AWS.
  • Prefer experience with deep learning libraries (TensorFlow, keras, pytorch, etc.) and scalable event stream processing architectures (e.g., Lambda, CEP, etc).

Additional Qualifications:
  • Ability to drive a project and work both independently and in a team.
  • Excellent verbal and written communication skills, which includes the ability to present complex topics to non-technical audiences.
  • Passion for solving complex problems and making a difference, comfortable working in a rapidly changing environment, and willingness to learn new skills and incorporate new ideas.

Full time

Regular

Colleague

Any unsolicited resumes sent to Zoetis from a third party, such as an Agency recruiter, including unsolicited resumes sent to a Zoetis mailing address, fax machine or email address, directly to Zoetis employees, or to Zoetis resume database will be considered Zoetis property. Zoetis will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.

Zoetis will consider any candidate for whom an Agency has submitted an unsolicited resume to have been referred by the Agency free of any charges or fees. This includes any Agency that is an approved/engaged vendor but does not have the appropriate approvals to be engaged on a search.

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.


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