Software Engineer
Job Description
Salary: $90K - $185K
On-site work policy: 5 days in-office in Salt Lake City, UT or San Mateo, CA
Full-time position
Location: Salt Lake City, UT, San Mateo, CA
Tech stack: Python, React, TypeScript, AWS, GCP, Azure
Equity: Competitive equity
Visa sponsorship details: Open to visa transfers (e.g. OPT, H1B transfers)
Additional visa sponsorship details: H-1B transfers accepted. OPT candidates considered. No H-1B lottery sponsorship.
We are looking for a Software Engineer to join as the second engineer at a company digitizing the immune system to power clinical trials for billion-dollar drug developers. No minimum years of experience required — we care about engineering ability and evidence of shipping quality software, not credentials.
What will you be doing?
- Building full-stack features across the product — from customer-facing trial dashboards and Amazon-style sample notifications to data visualization pipeline upgrades
- Implementing machine learning techniques for automated boundary detection of cancer cells in cytometry data
- Automating lab workflows from sample preparation to data analysis
- Shipping timely, reliable code for high-stakes clinical trials serving customers like Genentech and Recursion
- Contributing to product development with a customer-facing mindset — communicating directly with scientists and clients
Work experience
- Must have: Shipped production software to real users at a quality-focused company
Hard skills
- Must have: Proficient in Python for data processing and production code
Miscellaneous
- Must have: Resume leads with work history, most bullets show a before-and-after metric (X to Y, % or time saved), and every degree is listed with GPA on all or none
Seniority
- Required: 2 - 5 years of experience in full-stack software engineering, with proficiency in Python
Work experience
- Required: Strong internships or work at companies known for engineering excellence
Hard skills
- Required: Experience with at least one cloud platform (AWS, GCP, or Azure)
Work experience
- Built customer-facing dashboards or data visualization tools
- Worked with large-scale scientific or complex datasets (genomics, climate, cytometry, imaging, etc.)
Hard skills
- Experience with React and TypeScript for front-end development
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