Software Engineer - Fixed Duration

Lilly • Louisville, CO

1d • Onsite

About The Position

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. The Lilly Small Molecule Discovery organization is 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.

Requirements

• Bachelor’s degree in computer science, engineering, or related discipline with 1+ years of relevant experience
• Demonstrated experience building full stack Django applications in Life Sciences, Biotech, or a similar R&D environment
• Active GitHub profile with public contributions demonstrating experience in Python.
• Experience 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.

Nice To Haves

• 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.

Responsibilities

• 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.

Benefits

• company bonus (depending, in part, on company and individual performance)
• company-sponsored 401(k)
• pension
• vacation benefits
• 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
• well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities)

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level