Data Visualization Engineer

Position Title: Data Visualization Specialist – R&D Job Type: Full-Time Department: Animal Health Research & Development Position Responsibilities (Percent of Time Allocation Included) Design and Develop Visualizations – 40% Create interactive and static visualizations for exploratory, descriptive, comparative, and predictive analyses. Develop dashboards and reports 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. Collaborate with Cross-Functional Teams – 20% 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. Maintain and Optimize Visualization Tools – 20% 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. Data Processing and Integration – 10% 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. Innovation and Expertise Development – 10% 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. 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: Experience in pharmaceutical or biotech sectors is a strong plus. Technical Skills Requirements Visualization Tools: Expertise in Tableau, Power BI, Plotly, ggplot2, Matplotlib, Seaborn, D3.js, or equivalent. Programming: Proficiency in Python, R, or JavaScript (e.g., for D3.js). 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: Experience building interactive dashboards with Dash, Shiny, or Streamlit. 3D Visualization: Hands-on experience with structural/spatial visualization tools (e.g., PyMOL, PyVista). Soft Skills Strong storytelling ability to convey scientific insights visually. Effective communication and collaboration with interdisciplinary teams. Analytical thinking to align visualizations with research goals. Physical Position Requirements Travel: Minimal travel required (0–10%).