Fullstack Software Engineer (Senior / Staff)
CaliforniaFull-timePosted 5mo agoStill listed 3 days ago
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Job overview
Genesis Therapeutics is hiring a Fullstack Software Engineer (Senior / Staff). Genesis Molecular AI is seeking a Fullstack Software Engineer (Senior / Staff) to join their world-class software team. This role involves solving drug discovery problems using machine learning, biophysical simulation, and computational chemistry. The engineer will play a critical role in building out the software platform and developing new medicines.
Key focus areas include Own and evolve the full-stack platform for computational chemists, Build and expand tools for visualizing molecules and proteins, and Analyze ML models and manage complex chemical workflows.
Successful candidates bring Experience Shipping Production Code and Experience Driving Projects End-to-End. Important skills include Full-Stack Platform Ownership, Data Exploration, Experiment Management, Real-Time Visualization, AI-Native Workflows, and Modern Interaction Patterns.
Skills & qualifications
Skills
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Full job description
Fullstack Software Engineer (Senior / Staff)
Genesis Molecular AI is building a world-class software team to solve problems in drug discovery through machine learning, biophysical simulation, and computational chemistry. We are looking for engineers excited to help develop new medicines and play a critical role in building out our software platform.
You will
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Own and evolve the full-stack platform that computational chemists use daily, from data exploration and experiment management to real-time visualization, shipping AI-native workflows and modern interaction patterns that shorten the loop between hypothesis and insight
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Build and expand tools for visualizing molecules and proteins, analyzing ML models, and managing complex chemical workflows
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Partner with machine learning engineers and computational chemists to develop and productionize new computational methods for molecular property prediction
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Scale our data infrastructure to handle billions of datapoints and thousands of parallel deep learning and molecular dynamics jobs
You are
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A deep thinker who reasons from first principles, balances attention to detail with architectural thinking, and has an investigative curiosity to find the root cause of a problem
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Comfortable owning problems across the entire stack — frontend interfaces, backend services, data pipelines, and infrastructure
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Experienced shipping production code and driving projects end-to-end with minimal hand-holding
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Excited to work at the intersection of software engineering, drug discovery, and machine learning
What we offer
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The opportunity to work on high impact tools and products that are immediately deployed to accelerate the discovery of new medicines
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Strong technical coworkers in AI, software, and chemistry, who all have a powerful mix of intellectual curiosity and humility. The team reads and discusses 1-2 machine learning or chemistry papers every week to stay on top of the field and inspire new ideas
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Competitive salary and equity. Medical, dental, and vision insurance, and a 401(k) program
About Genesis Molecular AI
Genesis Molecular AI is pioneering foundation models for molecular AI to unlock a new era of drug design and development. Our generative and predictive AI platform, GEMS (Genesis Exploration of Molecular Space), integrates AI and physics into industry-leading models to generate and optimize drug molecules, including the breakthrough generative diffusion model Pearl for structure prediction. Genesis is backed by premier AI and life science investors, including a16z, NVIDIA, Rock Springs Capital, Menlo Ventures, T. Rowe Price, Fidelity, and Radical Ventures. Genesis has also signed category-leading AI-pharma deals, the most recent of which was a significant expansion with Incyte (see coverage in Forbes and GEN ) with a total potential deal value of several billion dollars.
Genesis is headquartered in San Mateo, CA, with a fully integrated laboratory in San Diego. We are proud to be an inclusive workplace and an Equal Opportunity Employer.
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