Nomic
Senior Scientist - Manufacturing Development
Montreal. Posted 4 months ago
The role
You will provide technical leadership to define, develop and enhance processes for the nELISA platform's scalability and performance. This role involves driving manufacturing-development initiatives, designing QC strategies, and mentoring scientists through hands-on bench work and data analysis.
What you will do
- Drive complex manufacturing-development initiatives and define the technical roadmap
- Convert ambiguous requirements into structured experimental and validation plans
- Design and develop robust QC strategies
- Lead cross-functional root-cause investigations
- Collaborate across R&D, Operations, Automation, and Quality teams
- Maintain meticulous documentation and share data-driven reports
- Analyze and interpret complex datasets to provide technical recommendations
- Mentor scientists and associates on experimental design and troubleshooting
Required qualifications
- PhD or Master’s in bioengineering, biotechnology, biochemistry or a related field
- At least five years of industry experience working in wet-lab environments
- Expertise in protein quantification and immunoassay methods (ELISA, sandwich assays, flow cytometry, bead-based assays)
- Experience in kit development
- QC under GMP/GLP standards
- Foundation in genomics, transcriptomics and proteomics technologies
- Ability to design, lead and scale complex experiments and process development projects
- Experience with tech transfer and compliance to regulated environments
- Hands-on experience with automation-enabled workflows and instrumentation
- Strong data analysis (Python or equivalent)
- Leadership in mentoring and developing junior scientists
- Strong English communication skills
About the company
Nomic was founded to make biology easier to measure and to enable scientists to extend lives by making proteomics accessible, scalable, and routine. The company uses its proprietary nELISA platform to deliver high-throughput, quantitative, and affordable protein data.