Software Engineer

True Talent Solutions LLC
Salt Lake City, UT, United States
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Compensation
$90,000 - $185,000
Working hours
Regular working hours

Tech stack

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
+1 more
ReactJS

Job 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.

Requirements

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.

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