Data Scientist/Data Engineer (Mid to Sr Levels)
nomic · Remote · Remote (Canada or US) ·
COMPENSATION
€•• – ••k
Listed on the employer's job board (Ashby)
- Mid to Senior level
- Fully remote eligible
- Bioengineering focus
- Python & Statistics
- English required
Join the Data team at Nomic to design and automate infrastructure for analyzing high-throughput protein data. You will bridge lab operations and software engineering, creating tools that help scientists extract insights from nELISA profiling and quality control datasets.
This position requires a blend of bioscience expertise and software development skills. You will interpret complex fluorescence data while building robust algorithms and user-facing applications for non-programming colleagues.
What you'll do
- Design and automate pipelines for processing raw flow cytometry data
- Develop internal tools for scientists to visualize and analyze datasets
- Interpret experimental data using knowledge of biosensors and fluorescence
- Collaborate with Lab R&D and Software Engineering teams on data features
- Troubleshoot data anomalies and ensure robust algorithm performance
- Create new analysis pipelines for manufacturing QC and profiling operations
What you'll need
- Graduate degree in bioengineering or related quantitative bioscience field
- 3+ years experience analyzing bioscience data and processing algorithms
- 2+ years software engineering experience in collaborative environments
- Proficiency in Bayesian statistics, sampling methods, and mixed models
- Experience working with wet lab scientists in fast-paced settings
- Fluency in English for communication with US-based teams and clients
Nice to have
- Knowledge of immunoassays and nucleic acid amplification techniques
- Expertise in DNA nanoarchitecture and separation-based techniques
- Experience with surface chemistry optimization and functionalization
- Familiarity with fluorophores, FRET, and antibody-antigen interactions
- Background in biophysics and signal processing methods
Stack
- nELISA
- Flow Cytometry
- Bayesian Statistics
- DNA Nanotechnology
How you'll work
- Remote work available
- Interaction with USA entity team members
- Cross-functional collaboration with Engineering and Operations