Full-Stack Django Engineer for Life Sciences Workflows

ApplyMint; Louisville (CO); On-site; USD 72,000 - 213,000; Full time

Job summary

Lilly is seeking an experienced full stack Django developer to support scientific workflow management applications. You will collaborate with lab scientists, extend API integrations, and design robust database schemas using PostgreSQL.

Responsibilities include writing tests, ensuring code quality, and aligning research goals with enterprise engineering standards. This role emphasizes AWS, Docker/Kubernetes, and CI/CD in production environments.

Qualifications

• Bachelor’s degree in computer science, engineering or related field with 1+ years of relevant experience.
• Experience building full stack Django applications in Life Sciences, Biotech, or similar R&D.
• Active GitHub profile with public contributions showing Python experience.
• Experience with PostgreSQL and Django ORM, migrations and model design.
• Experience with Django REST Framework for API development and CI/CD.

Responsibilities

• Collaborate with scientists to add features for workflow management and data tracking.
• Extend integrations with internal/external APIs and maintain data models.
• Design and test database schemas, optimize SQL for high throughput.
• Write unit/integration tests and maintain code quality and CI/CD standards.
• Bridge discovery teams with IT/Cloud to translate science needs into specs.

Skills

Python

Full stack development

APIs

SQL

Education

Bachelor in CS/Engineering or related

Tools

Django ORM

Django REST Framework

PostgreSQL

AWS

Docker

Kubernetes

Job description

Lilly is seeking an experienced full stack Django developer to support scientific workflow management applications. You will collaborate with lab scientists, extend API integrations, and design robust database schemas using PostgreSQL.

Responsibilities include writing tests, ensuring code quality, and aligning research goals with enterprise engineering standards. This role emphasizes AWS, Docker/Kubernetes, and CI/CD in production environments.