Sr Data Scientist / Data Engineer

About us

Nomic was founded with a simple but ambitious goal : to make biology easier to measure. Nomic has developed nELISA , the world’s highest throughput proteomic platform, using DNA nanotechnology, flow cytometry, lab automation, and machine learning. Since spinning out of McGill University, Nomic has partnered with top-tier drug discovery groups, profiled over 60 million proteins from 400,000 samples, and recently scaled up after a $42M Series B round.

Our state‑of‑the‑art facility profiles over 2.5 million samples a year, generating 500 million protein assays. We are a diverse team of engineers, scientists, and problem‑solvers who thrive on first‑principle thinking and the latest breakthroughs.

About the role

The Data team at Nomic designs, builds, operates, and improves the data pipelines, infrastructure, and tools needed to analyze nELISA data at scale. In this senior IC role you will sit at the intersection of in‑lab technology development, data processing algorithms, and manual data analysis, building internal tools that enable scientists to visualize and analyze datasets faster.

Responsibilities

• Design, build, iteratively improve, and fully automate pipelines and algorithms that process raw flow cytometry data from high‑multiplexed bead assays into quantitative protein measurements. Collaborate closely with Data Engineering, Software Engineering, and Lab R&D teams.
• Leverage your knowledge of biosensors, fluorescence data, and bioengineering R&D to act as a domain expert that ties data science to experimental nuances.
• Develop new data support features and algorithms to support growth, including pipelines for nELISA data and QC data from daily manufacturing and profiling operations.
• Communicate results, troubleshoot nELISA data issues, and build the right tools and abstractions with attention to detail.
• When tooling does not exist, analyze data with existing tools, and develop new pipelines when needed.
• Support R&D and Lab Operations with guidance on experimental design and analysis.

Qualifications

Nice to have

What we’re looking for

Additional Information

If you are passionate about building data pipelines for biology and driving innovation in proteomics, we invite you to apply and join us on our journey to redefine proteomics and biology understanding.

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