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Key skills for this role
Excited about taking on the challenge of analyzing large-scale cytometry datasets
Motivated to build tools to help life-changing therapies reach patients
Excited to tackle ground-floor challenges and work with a proven entrepreneurial and engineering team
No degree required, but proficiency is usually demonstrated by completion of a Bachelor/Master’s in Computer Science. Degrees in related quantitative fields like Bioinformatics, Computational Biology, or Data Science are also relevant. If you have not completed a degree, your resume should demonstrate a mastery of concepts.
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San Mateo, USA
Salt Lake City, USA
Salt Lake City, USA
Salt Lake City, USA
San Mateo, USA
Proven experience building production-level software that works. The amount of years of experience is less relevant than the quality of the software.
Proficiency in Python
Nice-to-have experience: Designing analytical pipelines Experience with front-end technologies such as React and TypeScript Building customer-facing dashboards Familiarity with large scale complex scientific datasets. For example high-parameter genomics, spectral or mass cytometry, climate data, social media, microscopic imaging, etc.
Designing analytical pipelines
Experience with front-end technologies such as React and TypeScript
Building customer-facing dashboards
Familiarity with large scale complex scientific datasets. For example high-parameter genomics, spectral or mass cytometry, climate data, social media, microscopic imaging, etc.
Experience with cloud computing platforms (i.e., HPC, AWS, GCP, Azure)
Experience with best practices in software development, including readable code, version control, unit tests, integration testing, continuous integration, continuous deployment
CLIA-certified clinical laboratory and CRO providing flow-cytometry immune profiling services to drug developers and physicians.
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