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
Build product features and systems from the ground up across the frontend and backend.
Design, develop, and own scalable services, APIs, and data pipelines across application, identity, data storage, and machine learning layers.
Ship production code in fast-moving development cycles and iterate on features based on user needs.
Partner with engineers, product managers, designers, and AI scientists to turn scientific workflows into intuitive, high-performance software.
Own features from early development through deployment, iteration, and scale.
What We're Looking For
At least 10 years of professional full-stack or backend engineering experience, excluding internships.
Strong proficiency in Python and React, with experience building production systems used by customers.
Experience designing scalable systems, databases, data-intensive applications, backend services, and REST APIs. Django experience is a plus.
Familiarity with GraphQL and cloud infrastructure such as AWS, GCP, or Azure, plus SQL experience.
A degree in computer science, STEM, or a related technical field, or equivalent technical skills.
Experience building products in an early-stage or high-growth startup environment and collaborating closely in high-communication teams.
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.