[Remote] Data Support Specialist at Zoetis

United States

Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Animal Health, Veterinary Medicine, BiotechnologyIndustries

Bachelor’s degree or higher in Computer Science or relevant technical or scientific discipline
5+ years of experience developing and automating data handling tools for yourself or others
Experience in a Life Sciences field is a plus
Demonstrated ability to collaborate cross-functionally between data partners and development teams to identify and solve complex problems while creating data solutions that meet the customer’s needs
Proven interpersonal and communication skills with the ability to explain complex ideas to audiences without a technical background
Proven problem-solving experience with discipline and determination to completely resolve issues to meet partner group requirements
Intermediate or higher proficiency (inferred from context, e.g., in programming or tools)
Excellent listening and problem-solving skills
Communicates effectively
Change-agile, highly adaptable
Ability to work both within a team and individually

Collaborate with scientists to understand their data management needs and apply a broad knowledge of data platforms/solutions in use at Zoetis to resolve their data management needs
Author and/or configure templates and tools to manage data, such as MS Excel macros, BioRails/Morphit, IDBS eWorkbook, Benchling, Alteryx, etc
Write maintainable, tested code in Python or similar programming language which connects to APIs and data providers to move and transform data as needed
Partner with ADS technology groups to understand available tools and platforms, and recommend the best tech stack to apply for a given situation
Maintain a strong focus on responsiveness and patience to support scientists as they adapt to new data tools, while also keeping training materials up to date
Continuously research and learn about the latest technologies and industry trends to improve the application development processes
Provide administration, technical support and troubleshooting for existing applications
Maintain, develop, troubleshoot and implement data handling systems for individual scientists and/or multisite, cross-functional teams