Data Scientist

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world.

Actual compensation will depend on a candidate’s education, experience, skills, and geographic location.  The anticipated wage for this position is

The Computational Group within ADME-Tox-PK/PD strives to apply innovative approaches to accelerate next-generation biologics for unmet medical needs. We drive innovation by integrating bioinformatics, automation, and ML/AI into actionable solutions to speed up discovery and mitigate toxicity challenges. We seek a dedicated and collaborative data scientist to join the group in Indianapolis, Indiana. As a core team member, you will develop novel solutions to modernize data architecture, develop automation and analytic capabilities, and derive novel data insights.

A successful candidate will be responsible for working with IT to build databases on existing and future pharmacokinetic and toxicology data. Modern database solutions will be forward-facing to ensure flexibility for future data sources and controlled terminology changes. Establish quality control practices to ensure data quality, monitor upload issues, and ensure data standards are correctly applied. Help create and maintain user interfaces, pipelines, and analytical/statistical solutions for secondary data analysis. Derive data insights in connection with collaborators.

If you are interested in applying your expertise to advance the science of drug discovery and development while working in a highly collaborative, innovative setting, we hope you’ll consider joining us!

Key responsibilities:

Database & Data Pipeline Design: Design, develop, and maintain scalable databases, data pipelines, and analytical platforms for data integration, visualization, and analysis.

Data Capture & Collaboration: Lead data capture initiatives in collaboration with discovery scientists, ensuring data quality, organization, and alignment with ML/AI and bioinformatics objectives.

Data Strategy & Quality: Partner with collaborators to define data strategies, quality control processes, and infrastructure, integrating new tools and technologies.

Data Processing & Integration: Develop and implement solutions for raw and clean data processing, extraction, and integration across multiple research domains.

Automation & Knowledge Extraction: Design automation and knowledge-based solutions to support decision-making and research. Support modernization and automation of data initiatives.

Data Analytics & Visualization: Create data analysis, statistical and visualization solutions to unlock valuable insights for decision making.

Basic Qualifications:

Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Information Technology, Statistics, Data Analytics, or a related field with 7-10 years of industry experience

Additional Skills/Preferences:

• Experience with development of analytics and business intelligence / data visualization solutions such as R Shiny, Spotfire, Tableau, Power BI, JavaScript or related programs/tools.
• Experience with relational database technologies, data modeling, data manipulation, data management, and database building/design (e.g., SQL, Oracle).
• Experience with automation and basic scripting (i.e., R, Python, etc.) or configuration environments.
• Experience with Natural Language Processing, PDF data extraction and/or use of ML/AI tools to extract value out of raw data.
• Understanding of application of controlled terminology and standards, and how to apply updated standards to existing databases.
• Experience with data integration from multiple sources.
• Hands-on experience with cloud platforms like AWS or Azure.
• Experience in statistical and analytical methods.
• Excellent analytical, problem solving, and investigative skills with intellectual curiosity and innovation interest.
• Experience in translating business needs of partners into efficient and meaningful solutions that drive decision making.
• Ability to communicate dedicatedly and effectively with IT and business partners.

Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.

Lilly is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.

Our employee resource groups (ERGs) offer strong support networks for their members and help our company develop talented individuals for future leadership roles. Our current groups include: Africa, Middle East, Central Asia Network, African American Network, Chinese Culture Network, Early Career Professionals, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinos at Lilly, PRIDE (LGBTQ + Allies), Veterans Leadership Network, Women’s Network, Working and Living with Disabilities. Learn more about all of our groups.

Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly’s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.

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