Software Engineer, Backend Developer, Python

At Lilly, the work is demanding because patients are waiting. We unite caring with discovery to help make life better for people around the world, knowing that every decision, every detail, and every day matters. Headquartered in Indianapolis, Indiana, our over 50,000 employees around the globe take on complex challenges to discover and deliver life‑changing medicines, strengthen how health is understood and managed, and support the communities we serve.

This is hard, urgent, selfless work, but it’s work worth doing. If you're driven by purpose and ready to bring your best to work that truly matters for patients, we invite you to join us.

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 39,000+ 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.

Lilly Small Molecule Discovery is an organization purpose‑built to create molecules that make life better for people. We focus on using cutting‑edge science and technology approaches that can treat people suffering from diseases with poor treatment options.

The ADMET Intelligence group is seeking an experienced full stack developer to support scientific workflow management applications.

• Work with laboratory scientists to develop new features and enhance existing functionality for workflow management, including assay request handling, plate definitions, and sample tracking and results analysis
• Maintain and extend integrations with internal / external APIs
• Design, implement and test database schema changes, write efficient queries for PostgreSQL
• Write unit tests, integration tests, and ensure code coverage
• Demonstrate best practice on code quality, documentation, CI/CD rigor, and architectural best practices, ensuring our research code is robust enough for enterprise production.
• Serve as a bridge between discovery teams, and IT/Cloud organizations, converting scientific intent into rigorous engineering specifications.

• Bachelor's degree in computer science, engineering, or related discipline with 1+ yearsof relevant experience
• Demonstrated experience building full stack Django applications in Life Sciences, Biotech, or a similar R&D environment
• Active Git Hub profile with public contributions demonstratinge experience in Python.
• Experince with relational databases (PostgreSQL)
• Experience with Django ORM, migrations, and model design
• Experience with Django REST Framework for API development
• Experience implementing robust CI/CD pipelines and Infrastructure-as-Code
• Qualified applicants must be authorized to work in the United States on a full‑time basis. Lilly will not provide support for or sponsor work authorization or visas for this role, including but not limited to F-1 CPT, F-1 OPT, F-1 STEM OPT, J-1, H-1B, TN, O-1, E-3, H-1B1, or L-1.

• Familiarity with ADME assays or compound management systems
• Knowledge of cheminformatics or pharmaceutical research workflows
• Strong ability to optimize SQL queries and design efficient schemas for high-throughput data.
• Knowledge of AWS ecosystems (Lambda, S3, Step Functions, DynamoDB) and containerization (Docker, Kubernetes) in production environments.

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 (  ) 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 proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information,…