> Markdown version of [/jobs/ext/4703726-software-engineer](https://www.wearedevelopers.com/jobs/ext/4703726-software-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer - **Company:** True Talent Solutions LLC - **Location:** Salt Lake City, UT, United States - **Experience:** Experienced - **Salary:** $90,000 - $185,000 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, C Sharp (Programming Language), Data Visualization, Python (Programming Language), Machine Learning, Software Engineering, TypeScript, Cloud Platform System, ReactJS - **Published:** November 13, 2026 - **Apply:** https://www.careerbuilder.com/job-details/software-engineer-salt-lake-city-ut--6ac2820f-cedf-4284-8a4e-976c7486c0c9 ## About the Role Software Engineering, Biotech and Pharmaceutical, Clinical Trial, Clinical Research, Reporting Dashboards, Customer Relations, Data Visualization, Machine Learning, Cancer, Data Analysis, * Two to five years of full-stack software engineering experience, with proficiency in Python. * Recent experience primarily using Python or TypeScript, rather than Java or C#. * Experience building and shipping production software products for real users. * An undergraduate degree and strong software engineering fundamentals. * Experience with a cloud platform such as AWS, GCP, or Azure. * Experience with customer-facing dashboards or data visualization tools is valuable. * Familiarity with React and TypeScript, and experience handling scientific or otherwise complex datasets, are helpful. ## Description Join a growing software team at a biotech company building digital tools for clinical trials and immune system research. You will develop full-stack product features and scientific data workflows that support researchers and clinical teams., * 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 laboratory workflows spanning sample preparation and data analysis. * Ship reliable software for high-stakes clinical trial workflows. * Work directly with scientists and clients to contribute to product development.