Remote Software Engineer

Summary

The job is for a Software Engineer at Nomic, a biotech company developing the nELISA platform. The role involves building core components of the nELISA software stack and improving existing tools for lab operations, R&D, and data analysis pipelines. Candidates should have 4+ years of full-stack software engineering experience, 2+ years in biotech/life sciences, technical skills in algorithm development or bioinformatics, and a degree in engineering or computer science.

Requirements

• 4+ years of full-stack software engineering experience
• 2+ years experience writing code in the biotech and/or life sciences industry
• Technical skills in one of algorithm development, signal processing, image analysis, computational biology and/or bioinformatics
• Experience developing new data analysis pipelines and algorithms for biochemical assays (or similar), such as ELISA, flow cytometry, mass spec, and/or NGS
• Bachelors or Masters degree in engineering or computer science (or related field), or equivalent industry experience
• Experience working in Python as part of a small software team, ability to rapidly prototype and code modular software to improve and extend an existing codebase

Responsibilities

• Build all core components of the nELISA software stack, and scale them as needed
• Develop improved internal tools for the LIMS and software for R&D teams to increase operations and R&D velocity in the lab
• Write modular software that creates efficient analysis pipelines and internal QC tools
• Build better interfaces to lab automation equipment and extend their capabilities
• Contribute improvements to the codebase that enable scaling of nELISA decoding and analysis pipelines

Preferred Qualifications

• Excellent communication skills (written, verbal, and in a codebase) and an independent problem solver
• Experience developing at least one of the following: Built extensions on an existing LIMS in close collaboration with scientists as your end-users (e.g. Benchling), written software that interfaces with lab equipment (such as liquid handlers or cytometers), and/or established high performance data pipelines and data stores for biological data that support user workflows (data lakes, viz layers, etc)

Benefits

• Join a diverse team of engineers, scientists, and world-changers
• Work in a new, shared office/laboratory space with an in-person, but flexible work-from-home, policy