Data Scientist/Data Engineer
Confirmed on the employer's own hiring board on Oct 8, 2026. First seen by Alion on Jul 20, 2026.
Join Nomic, a cutting-edge biotechnology company, as a Data Scientist/Data Engineer. In this role, you will be responsible for designing, building, and improving data pipelines, infrastructure, and tools for analyzing nELISA data at scale. You will collaborate closely with data engineering, software engineering, and lab R&D teams, leveraging your expertise in biosensors, fluorescence data, and bioengineering R&D. This position requires strong communication skills, a graduate degree in bioengineering or a related field, and experience in analyzing bioscience data and developing data processing algorithms.
Missions
- 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 expertise in biosensors and fluorescence data to support R&D and Lab Operations teams in analyzing nELISA experimental data.
Profil recherché
- 3+ years of experience specifically with analyzing bioscience data and developing improved data processing algorithms- 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
- 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
- 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
- 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
- Excellent communication skills (written, verbal, and in a codebase) and an independent problem solver
- Strong past experience working collaboratively on data science problems with wet lab scientists, ideally in a startup or equivalent fast paced environment
- Statistical skills including bayesian statistics, sampling methods, mixed models, and experience applying other statistical concepts
- 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