Data Scientist/Data Engineer (Mid to Sr Levels)

The role

You will design, build, and automate data pipelines and algorithms for processing flow cytometry data. You will also develop internal tools for scientists to visualize and analyze nELISA datasets.

What you will do

• Design, build, and automate data pipelines and algorithms for processing raw flow cytometry data.
• Act as an expert for the interpretation and analysis of nELISA experimental data.
• Support R&D and Lab Operations by developing additional data support features and algorithms.
• Develop new data analysis pipelines for nELISA data and manufacturing QC data.
• Identify and troubleshoot issues related to nELISA data.
• Develop new data analysis pipelines when tooling does not yet exist.

Required qualifications

• Graduate Degree or equivalent experience 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.
• 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.
• Excellent communication skills (written, verbal, and in a codebase).
• Independent problem solver.
• Fluency in English.

Nice to have

• Understanding of the fundamentals of life science tools, technologies and lab methods (immunoassays, nucleic acid amplification, DNA nanoarchitecture and design, separation-based techniques for biolog
• First hand experience optimizing surface chemistry, DNA-based circuits and DNA biosensor designs, fluorophores/fluorescence and FRET, antibody-antigen interactions and ligand binding, or similar domai

About the company

Nomic developed nELISA, a proteomic platform using DNA nanotechnology, high-dimensional flow cytometry, lab automation, and machine learning. The company has partnered with top-tier drug discovery groups and profiled over 60 million proteins.