Public summary
Join a pioneering company focused on advancing AI applications in pharmaceutical R&D. This role involves designing and implementing scalable drug discovery workflows used by leading pharmaceutical firms. Collaborate closely with scientists, data teams, and machine learning engineers to transform scientific challenges into reliable automated solutions. Ideal for experienced developers passionate about impactful software in a fast-paced startup environment.
Location and work setup
- Location
- Berlin
- Remote status
- Remote
- German requirement signal
- No German Required Detected
- Detected job language
- English
Responsibilities
Design and implement drug discovery workflows primarily in Python. Lead system design and architecture discussions. Collaborate cross-functionally with engineering, data, machine learning, and drug discovery teams. Write high-quality, maintainable, and well-tested production-grade code. Use AI coding tools efficiently while exercising judgment to balance prototyping and robustness.
Qualifications
Degree in computer science, engineering, computational chemistry/biology, or equivalent experience. At least 5 years of professional backend development experience. Strong Python programming skills. Experience with Docker and containerized production applications. Solid understanding of software engineering best practices and testing. Excellent English communication skills. Experience with workflow engines, cloud platforms (AWS), Kubernetes, CI/CD, and infrastructure-as-code is a plus. Interest in life sciences beneficial but not required.