Collaborate with scientists to identify data gaps and implement effective solutions for data capture, storage, searching, integration, and visualization, ensuring alignment with FAIR data principles.
Partner with ZTD and VMRD technology groups to align on available tools, platforms, and tech stacks, and provide recommendations for best practices.
Application & Database Development(40%)
Rapidly design and develop software applications and/or databases to address data needs, supporting scientists by integrating data into existing or new data pipelines for advanced analytics and visualization.
Ensure the development of high-quality, reliable, and scalable applications, meeting tight deadlines and delivering impactful results.
Perform testing and debugging to ensure optimal performance, functionality, and the quality of applications.
Code Quality, Research, & Support(10%)
Participate in code/platform reviews with colleagues to maintain code quality and integrate best practices.
Continuously research and stay updated on the latest technologies and industry trends to enhance application development processes.
Provide technical support and troubleshooting for existing applications, ensuring smooth operation.
Collaborate with the team to create and maintain project documentation and ensure clear communication of progress and challenges.
Innovation and Expertise Development(10%)
Stay abreast of the latest trends in application development, visualization technologies, and methods relevant to pharmaceutical research.
Research and apply advanced techniques related to the deployment of technologies such as AI, LLM, ML, and others.
ORGANIZATIONAL RELATIONSHIPS
Animal Health Research & Development: Collaborate across the full spectrum of R&D functions (pharmaceutical, biopharmaceutical, vaccine, device, and genetics R&D) to align technology solutions with diverse scientific disciplines and development pipelines.
Zoetis Tech & Digital (ZTD): Partner with ZTD teams, particularly with the VMRD-ZTD Engineering group, documentation specialists, and portfolio management groups to ensure seamless integration of IT solutions aligned with organizational goals.
EDUCATION AND EXPERIENCE
Bachelor's degree or equivalent in a Computer-related field.
Proven experience as a Rapid Application Developer/Engineer or in a similar role within the Life Sciences industry.
Experience with rapid application development methodologies (e.g., Agile, Scrum).
Experience developing solutions in areas of CMC, including cell-line development, upstream, and downstream, is a plus.
Strong problem-solving skills with the ability to think critically and creatively in a fast-paced, dynamic environment, sometimes requiring frequent project transitions.
Excellent interpersonal and communication skills, with the ability to explain complex ideas to both technical and non-technical audiences.
Demonstrated ability to collaborate and resolve conflicts effectively with individuals across the drug research and development function.
Ability to work independently, with minimal supervision, or within a team, while managing multiple projects simultaneously.
TECHNICAL SKILLS REQUIREMENTS
Programming: Proficiency in Python, R, Java, or C#, with experience using code-sharing tools such as Git or GitHub.
Familiarity with front-end languages such as React, CSS, and JavaScript/TypeScript.
Data Handling: Strong experience with SQL, Pandas, NumPy, and ETL processes.
Experience with database design and management (e.g., SQL, NoSQL, Oracle).
Familiarity with cloud technologies (e.g., Azure or AWS).
Knowledge of software development best practices, including version control and continuous integration.
Experience with visualization tools such as Tableau, Spotfire, or Power BI.
Soft Skills
Strong storytelling ability to convey scientific insights visually.
Effective communication and collaboration skills with interdisciplinary teams.
Analytical thinking to align visualizations with research goals.
