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Senior Full-Stack Engineer (AI Platform for Drug Discovery)

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Build foundational product systems for an AI platform supporting drug discovery and life sciences research. Design and own scalable backend services, APIs, data pipelines, and full-stack features from development through production. Requires 10+ years of full-stack or backend engineering experience, strong Python and React skills, and a relevant technical degree.

Key Highlights
Build full-stack and backend systems for an AI platform for drug discovery and life sciences.
Own scalable backend services, APIs, and data pipelines across multiple layers.
Ship and iterate on production features in fast-moving development cycles.
Requires 10+ years of professional full-stack or backend engineering experience.
Strong Python and React skills; Django experience is a plus.
Key Responsibilities
Build product features and systems from the ground up across the frontend and backend.
Design, develop, and own scalable backend services, APIs, and data pipelines across application, identity, storage, and machine learning layers.
Ship production code within fast-moving development cycles and iterate on features after deployment.
Partner with engineers, product managers, designers, and AI scientists to turn scientific workflows into intuitive, high-performance software.
Own features end to end, from early development through production deployment and scaling.
Technical Skills Required
Python React REST APIs
Benefits & Perks
Visa sponsorship
Nice to Have
Django experience
Familiarity with GraphQL
Familiarity with cloud infrastructure such as AWS, GCP, or Azure
Interest in life sciences, drug discovery, or computational biology

Job Description

About the Role

Join an engineering team building an AI platform for drug discovery and life sciences. You will shape foundational product systems that help researchers work with complex scientific workflows.

What You'll Do

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