Data Visualization Engineer

POSITION SUMMARY
Zoetis, Inc. is the world's largest producer of medicine and vaccinations for pets and livestock. Join us at Zoetis India Capability Center (ZICC) in Hyderabad, where innovation meets excellence. As part of the world's leading animal healthcare company, ZICC is at the forefront of driving transformative advancements and applying technology to solve the most complex problems. Our mission is to ensure sustainable growth and maintain a competitive edge for Zoetis globally by leveraging the exceptional talent in India.

At ZICC, you'll be part of a dynamic team that partners with colleagues worldwide, embodying the true spirit of One Zoetis. Together, we ensure seamless integration and collaboration, fostering an environment where your contributions can make a real impact. Be a part of our journey to pioneer innovation and drive the future of animal healthcare.
Zoetis is seeking a highly skilled and innovative Data Visualization Engineer to join our pharmaceutical R&D team. The ideal candidate will have a strong background in data science, advanced visualization techniques, and expertise in tools and technologies for creating insightful and interactive visualizations across various data types. The role requires close collaboration with scientists, analysts, and other stakeholders to translate complex datasets into impactful visual narratives that drive decision-making in drug discovery, development, and clinical research.

POSITION RESPONSIBILITIES
Percent of Time
Design and Develop Visualizations:

• Create interactive and static visualizations for exploratory, descriptive, comparative, and predictive analyses.

• Develop dashboards and reports for summarizing key insights from high-throughput screening, clinical trial data, and other R&D datasets.

• Implement visual representations for pathway analysis, pharmacokinetics, omics data, and time-series trends. 40%
Collaborate with Cross-Functional Teams:

• Partner with data scientists, bioinformaticians, pharmacologists, and clinical researchers to identify visualization needs.

• Translate complex scientific data into clear, compelling, and actionable visual insights tailored to technical and non-technical audiences. 20%
Maintain and Optimize Visualization Tools:

• Build reusable visualization components and frameworks to support large-scale data analysis.

• Evaluate and recommend tools and platforms for effective data visualization, including emerging technologies. 20%
Data Processing and Integration:

• Collaborate with data engineers to integrate, clean, and structure datasets for visualization purposes.

• Ensure alignment of visualization solutions with pharmaceutical R&D standards, compliance, and security requirements. 10%
Innovation and Expertise Development:

• Stay updated on the latest trends in visualization technology and methods relevant to pharmaceutical research.

• Apply advanced techniques like 3D molecular visualization, network graphs, and predictive modeling visuals. 10%

ORGANIZATIONAL RELATIONSHIPS

Animal Health Research & Development

• Collaborate across the full spectrum of R&D functions, including pharmaceutical, biopharmaceutical, vaccine, device, and genetics R&D groups, to align technology solutions with the diverse needs of scientific disciplines and development pipelines.
Zoetis Tech & Digital (ZTD)

• Partner closely with ZTD teams, with a particular focus on the VMRD-ZTD Engineering group, documentation specialists, and portfolio management groups, to ensure seamless integration of IT solutions and alignment with organizational objectives.

RESOURCES MANAGED  

Supervision
No direct reports, but matrix leadership responsibilities within each project team.  Managerial responsibilities for any project resources onboarded externally.

EDUCATION AND EXPERIENCE

• Education: Bachelor's or Master's degree in Computer Science, Data Science, Bioinformatics, or a related field.

• Experience in pharmaceutical or biotech sectors is a strong plus.

TECHNICAL SKILLS REQUIREMENTS

• Visualization Tools: Expertise in Tableau, Power BI, Plotly, ggplot2, Matplotlib, Seaborn, , or equivalent.

• Programming: Proficiency in Python, R, or JavaScript (e.g., for ).

• Data Handling: Experience with SQL, Pandas, NumPy, and ETL processes.

• Omics and Network Tools: Familiarity with Cytoscape, BioRender, or molecular visualization platforms (e.g., PyMOL, Chimera).

• Dashboarding: Building interactive dashboards with Dash, Shiny, or Streamlit.

• 3D Visualization: Experience with tools for structural and spatial visualization (e.g., PyMOL, PyVista).

• Soft Skills:
o Strong storytelling ability to convey scientific insights visually.
o Effective communication and collaboration with interdisciplinary teams.
o Analytical thinking to align visualizations with research goals.

PHYSICAL POSITION REQUIREMENTS
Travel requirements are minimal, 0-10%