Data Analyst
On-site · Montréal, Quebec, Canada
Job Summary
Data Analyst at Nomic will transform raw readout data into quantified proteins within the protein-profiling workflow, design, operate and improve data pipelines and tooling, troubleshoot issues including root-cause analyses, and collaborate to implement improvements. The role emphasizes using existing software tools to analyze nELISA data, conducting thorough investigations of problems, communicating findings, and contributing to algorithm development and process enhancements. It offers opportunities to grow in Python proficiency and to work closely with cross-functional teams across R&D, Engineering, Operations, and Commercial groups, with a mission-driven focus on advancing proteomics and biomarker discovery.
Required Qualifications
- Undergraduate Degree in Computer Science, Engineering, Bioengineering, Biology, or Applied Biosciences (or closely related technical field)
- Experience with Python and scientific Python stack (numpy, pandas, matplotlib, jupyter)
- 1+ years of experience analyzing data and running data pipelines for bioscience data in practice, including in academic settings
- Familiarity with Bayesian statistics, sampling methods, mixed models, and ability to synthesize complex data into clear learnings
- Understanding of, and ideally first-hand experience with, analyzing data from biotechnology tools and their associated methods (e.g., sequencing, immunoassays, nucleic acid amplification, DNA nanotechnology, separation-based techniques, biophysics/fluorescence/FRET, signal processing)
- Ability to multitask and strong attention to detail for data quality
- Excellent communication skills (written, verbal, and in a codebase)
- Fluency in English required; interaction with USA-based customers and vendors
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