Job Description
Job DescriptionAbout the Role
Join as an early engineer at a biotech startup digitizing the immune system to power clinical trials for major pharmaceutical developers. You'll work across the full stack — from customer-facing product features to machine learning pipelines — with direct impact on high-stakes scientific workflows.
What You'll Do
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Build full-stack features including customer-facing trial dashboards, sample notification systems, and data visualization pipeline upgrades.
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Implement machine learning techniques for automated boundary detection of cancer cells in cytometry data.
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Automate lab workflows spanning sample preparation through data analysis.
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Ship timely, reliable production code supporting clinical trials in a high-stakes environment.
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Communicate directly with scientists and clients to inform product development with a customer-facing mindset.
What We're Looking For
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Demonstrated track record of shipping production-grade software to real users at a quality-focused company (portfolio, open-source contributions, or shipped features as evidence).
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Strong proficiency in Python for backend and data processing work.
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Experience with React and TypeScript for front-end development.
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Hands-on experience with at least one cloud platform (AWS, GCP, or Azure), including deploying scalable services.
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Experience building customer-facing dashboards or data visualization tools.
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Background working with large-scale scientific or complex datasets (e.g. genomics, cytometry, imaging, or similar domains).
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Experience applying machine learning techniques to data analysis, particularly boundary detection or segmentation problems.
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Strong written and verbal communication skills; comfortable working directly with scientists and clients.
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Ability and willingness to work on-site full-time in Salt Lake City, UT or San Mateo, CA.
Compensation & Benefits
Salary range: $90,000 – $160,000 USD annually. Visa sponsorship is not available.
Location
On-site, full-time (5 days/week). Primary locations: Salt Lake City, UT or San Mateo, CA.