About the Role
Join an engineering team building AI-powered software for drug discovery and life sciences. You will shape foundational product systems that help researchers work with complex scientific data and workflows.
What You'll Do
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Build product features and systems from the ground up across the frontend and backend.
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Design, develop, and own scalable services, APIs, and data pipelines across application, identity, data storage, and machine learning layers.
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Ship production code in fast-moving development cycles and iterate on features based on user needs.
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Partner with engineers, product managers, designers, and AI scientists to turn scientific workflows into intuitive, high-performance software.
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Own features from early development through deployment, iteration, and scale.
What We're Looking For
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At least 10 years of professional full-stack or backend engineering experience, excluding internships.
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Strong proficiency in Python and React, with experience building production systems used by customers.
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Experience designing scalable systems, databases, data-intensive applications, backend services, and REST APIs. Django experience is a plus.
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Familiarity with GraphQL and cloud infrastructure such as AWS, GCP, or Azure, plus SQL experience.
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A degree in computer science, STEM, or a related technical field, or equivalent technical skills.
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Experience building products in an early-stage or high-growth startup environment and collaborating closely in high-communication teams.
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Curiosity about life sciences, drug discovery, or computational biology, and interest in engaging deeply with complex product challenges.
Compensation & Benefits
Base salary: $175,000 to $220,000 annually. Visa sponsorship is available.
Location
On-site in San Francisco, California, United States.
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