Data Scientist/Data Engineer

Join Nomic, a cutting-edge biotechnology company focused on revolutionizing the field of biosensors and diagnostics. As a Data Scientist/Data Engineer, you will play a crucial role in designing, building, and improving our data pipelines, infrastructure, and tools for analyzing nELISA data at scale. You will collaborate closely with our Data Engineering, Software Engineering, and Lab R&D teams, leveraging your expertise in biosensors and quantitative fluorescence data to drive innovation and efficiency in our lab operations.

• Designing, building, and automating data pipelines and algorithms for processing raw flow cytometry data.
• Collaborating with Data Engineering, Software Engineering, and Lab R&D teams to improve data processing algorithms and infrastructure.
• Leveraging knowledge of biosensors and fluorescence data to interpret and analyze nELISA experimental data.
• Statistical skills including bayesian statistics, sampling methods, mixed models, and experience applying other statistical concepts
• 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
• Excellent communication skills (written, verbal, and in a codebase) and an independent problem solver
• Fluency in English is required as our customers and vendors are primarily located in the USA. In addition, this position will interact with our team members within our USA entity
• 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
• Nice to Have: Understanding of the fundamentals of life science tools, technologies and lab methods. In particular you would be an expert on multiple of: immunoassays, nucleic acid amplification, DNA nanoarchitecture and design, separation-based techniques for biological samples and compounds, biophysics / fluorescence, and signal processing
• Nice to Have: First hand experience optimizing (alone or in a team): surface chemistry (passivation, functionalization, regeneration), DNA-based circuits and DNA biosensor designs, fluorophores/fluorescence and FRET, antibody-antigen interactions and ligand binding, or similar domains
• 3+ years of experience specifically with analyzing bioscience data and developing improved data processing algorithms
• Strong past experience working collaboratively on data science problems with wet lab scientists, ideally in a startup or equivalent fast paced environment