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About the Role
Join a small engineering team at an early-stage biotechnology software company building tools for clinical trials and immune system research. You will develop software that helps scientists manage lab workflows and analyze complex cytometry data.
Responsibilities
- Build full-stack product features, including customer-facing trial dashboards, sample notifications, and data visualization improvements.
- Apply machine learning techniques to automate boundary detection of cancer cells in cytometry data.
- Automate lab workflows from sample preparation through data analysis.
- Ship reliable production software for use in clinical trials.
- Work directly with scientists and clients to understand needs and contribute to product development.
Requirements
- Two to five years of full-stack software engineering experience, with proficiency in Python.
- Experience building production software for real users at a quality-focused company, with evidence of measurable impact.
- Experience with React and TypeScript, and at least one cloud platform such as AWS, GCP, or Azure.
- A track record of shipping products, ideally including customer-facing dashboards or data visualization tools.
- Experience working with large or complex datasets; scientific domains such as genomics, imaging, climate, or cytometry are relevant.
- Strong engineering fundamentals and a demonstrated ability to deliver reliable software.
Skills
- Python
- React
- TypeScript
- AWS
- GCP
- Azure
- Machine Learning
Location
- Salt Lake City, Utah, United States
Work Type
- On-site
Experience Level
- 2-5 years
Salary/Compensations
- $90,000 to $185,000 USD
Benefits
- Visa sponsorship is available.
About the Company
- Early-stage biotechnology software company building tools for clinical trials and immune system research.