At Lilly, the Advanced Intelligence (AI) team uses data and advanced analytics like AI, machine learning, and predictive analytics to solve high-value business problems. The team is looking for a visual data science research intern to develop and implement new visual analytics solutions for clinical research, commercial, or manufacturing services, aiming to improve data-driven decision-making in complex areas.
Requirements
- Demonstrated experience designing and building interactive data visualizations using tools such as D3.js, Vega, Vega-Lite, Plotly, or similar libraries
- Proficient in web development, particularly frontend technologies such as HTML/CSS, JavaScript, React, or Vue, and able to build responsive, user-friendly interfaces
- Understanding of UI/UX principles and best practices for designing intuitive user experiences
- Strong understanding of advanced visualization techniques, including force-directed layouts, network diagrams, and other graph-based algorithms
- Experience with data science workflows, including data cleaning, transformation, analysis, and visualization in Python or R
- Proficient in building and integrating RESTful APIs to support interactive visual applications
- Experience working in cloud environments (e.g., AWS, Azure, GCP) and using version control tools like Git
Responsibilities
- Conduct applied visualization research to explore new techniques, evaluate design approaches, and contribute to tools that support data exploration, decision-making, and storytelling for business and scientific users
- Develop custom visualizations using modern data visualization libraries (e.g., D3.js, Plotly, Vega, Observable) to convey complex insights clearly and effectively
- Build frontend-focused web applications (e.g., using React, Vue, or similar frameworks) that integrate interactive data visualizations and support user-driven exploration of data
- Design clean, intuitive user interfaces and user experiences that enhance usability and engagement with analytical products
- Share and present visual products and design rationale with stakeholders and team members, incorporating feedback iteratively
Other
- Pursuing a PhD or master's degree in computer science, data science, human-computer interaction, information visualization, or a related technical field
- Creativity, curiosity, and strong collaboration skills
- Completed graduate-level coursework or research in data visualization, machine learning, human-centered computing, or visual analytics
- Publication in a top-tier visualization or HCI conference or journal (e.g., IEEE VIS, ACM CHI, EuroVis)
- Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions.
