Backed by Y Combinator.
About the role
The Data team at Nomic is responsible for designing, building, operating and improving the data pipelines, data infrastructure, and data tools needed for analyzing nELISA data at scale. Our development roadmap includes building more robust data pipelines for decoding nELISA datasets, and developing improved internal-facing tools that will let our scientists execute faster in the lab by extracting insights from our nELISA profiling and manufacturing QC data on-demand.
What they're looking for
- Graduate Degree - or equivalent experience in industry - in bioengineering or a related quantitative field of study in the biosciences, with a focus on biosensors, quantitative fluorescence data, or similar
- 3+ years of experience specifically with analyzing bioscience data and developing improved data processing algorithms
- 2+ years software engineering/development experience - you must be comfortable standing up new toolsets for non-programming users, and coding in a collaborative environment together with experienced data and software engineers
- Statistical skills including bayesian statistics, sampling methods, mixed models, and experience applying other statistical concepts
- Strong past experience working collaboratively on data science problems with wet lab scientists, ideally in a startup or equivalent fast paced environment
- Excellent communication skills (written, verbal, and in a codebase) and an independent problem solver
More about this role
Nomic was founded with a simple but ambitious goal: to make biology easier to measure. We’ve developed nELISA , the world’s highest throughput proteomic platform, by tackling some of the toughest challenges in protein profiling through a combination of DNA nanotechnology, high-dimensional flow cytometry, lab automation, and machine learning.
Since spinning out of McGill University, we’ve partnered with dozens of top-tier drug discovery groups, including 6 of the top 10 pharma companies, and have profiled over 60 million proteins from more than 400,000 samples to date.
Since closing a $42M Series B round, we recently scaled up the platform to meet rapidly growing demand. You can read more about this on our website here . Our state-of-the-art facility is capable of profiling over 2.5 million samples a year, generating 500 million protein assays.
We’re a diverse team of engineers, scientists, and problem-solvers who thrive on breaking down difficult challenges using first principles thinking, and we leverage the latest scientific and technological breakthroughs to drive our mission forward.
The Data team at Nomic is responsible for designing, building, operating and improving the...
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