Eli Lilly and Company is a global healthcare leader headquartered in Indianapolis, Indiana, dedicated to making life better for people around the world. They are seeking an experienced full stack developer to support scientific workflow management applications, working closely with laboratory scientists to enhance workflow management functionalities and ensure robust code quality.
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
Qualification
Required
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
Preferred
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
Benefits
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
Well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities)
We're a medicine company turning science into healing to make life better for people around the world.
