Scientist - Discovery Data Science

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 35,000 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.

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 35,000 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.

The Next Generation Therapeutics team is focused on using novel modalities to deliver medicines for chronic pain and neurodegenerative disorders at speed. With high growth in this field, the Lilly Institute for Genetic Medicines is under construction, which will provide a state of the art facility for the teams dedicated to developing innovative RNA, oligonucleotide, gene and genomic based therapeutic agents.

We are seeking highly motivated and dedicated scientists to join our fast-paced, interdisciplinary team. Scientific curiosity and innovative thinking will help to drive our efforts, and this could be the perfect role for you. We look forward to seeing your application!

Informatics:

• Create automated data ingestion and analysis pipelines to fuel new metrics that better characterize the performance of a therapeutic agent
• Develop user interface improvements to encourage accuracy and timeliness of data entry
• Create data models for new concepts and endpoints

Analytics:

• Work collaboratively with each specialized functional team to understand the intricacies of the assays (e.g. genomics, proteomics, mass spec, histology) and ensure fit-for-purpose analyses are produced
• Apply machine-learning methods (e.g. deep learning, reinforcement learning, and generative adversarial networks) to biological imaging and NGS data

Visualization:

• Develop new ways to visualize project status and data. Customize responses of Large Language models using Langchain to ensure responses provide up to date information for scientific audiences

• Bachelor's or Master's degree in computational biology/chemistry, computer sciences, information sciences, bioinformatics, cheminformatics, or related fields.

• Deep biological understanding of neurodegeneration and/or pain
• Extensive programming experience with Javascript , R and Python
• Good understanding of statistical methodologies such as mixed effects models, Bayesian inference, random forests/gradient boosting
• Creative and critical thinking skills to solve difficult technical problems.
• Capable of working within a matrix organization
• Ability to work on multiple concurrent projects and deliver the results by timelines
• Ability to adapt and exercise flexibility for changing needs, workflows and projects
• Knowledge of RNA chemistry, experience in RNAi discovery, especially in siRNA design
• Experience working with Cloud (AWS) and High-Performance Computing (HPC) environments

Eli Lilly and Company, Lilly USA, LLC and our wholly owned subsidiaries (collectively “Lilly”) are committed to help individuals with disabilities to participate in the workforce and ensure equal opportunity to compete for jobs. If you require an accommodation to submit a resume for positions at Lilly, please email Lilly Human Resources ( Lilly_Recruiting_Compliance@lists.lilly.com ) for further assistance. Please note This email address is intended for use only to request an accommodation as part of the application process. 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.

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