Research Scientist - Protein Design & Analysis

SPOC Biosciences is buildingthenext-generation drug discovery & lab-in-the-loop protein design platform that integrates on-chip protein synthesis, high-resolution kinetic measurements and best in class engineering & automation. Our goal is to supercharge the discovery of next-generation biologics and accelerate AI drug design.

We collaborate with leading pharmaceutical companies, AI drug discovery startups, and academic institutions to advance therapeutics development.

We areseekinga motivated and hands-on Research Scientist (PhD or Postdoctoral level) with strong training in protein biochemistry and molecular biology.

This role requires independent scientific judgment, strong assay development skills, andability to workin a fast-paced startup environment.

This role is ideal for recent PhD graduates or postdocs who are excited to apply rigorous experimental science to AI-enabled drug discovery.

You will work closely with senior scientists to:

• Design and execute high throughput protein characterization experiments
• Develop andoptimizebinding assays (including SPR and related platforms)
• Contribute to validation of AI-designed protein and antibody binders
• Analyze experimental data and produce high quality visualization and reports

This roleprovidesan opportunity to gain exposure to high-throughput experimentation, AI-integrated workflows, and industry partnerships.

• PhD in Molecular Biology, Biochemistry, Bioengineering, Protein Engineering, or related field (recent graduates with relevant experience are encouraged to apply)
• Wet lab experience in molecular biology and biochemistry, with particular emphasis on independent assay design
• Experience studyingor computational modeling ofprotein-protein or protein-antibody interactions
• Strong foundation in experimental design and data analysis
• Demonstrated ability to work independently ina fast-paced environment
• Strong written and verbal communication skills

Postdoctoral research experience is welcomed but not required.

• Experience with Surface Plasmon Resonance (SPR) or other quantitative binding techniques
• Familiarity with high-throughput assay development
• Exposure toDe novo AI design of protein or antibody binders
• Expression and characterization of membrane proteins and/or PTMs
• Computational protein modelling and Analysis
• Basic programming (Python, R, or similar)&use of AI coding tools

• Direct experience at the intersection of experimental protein science and AI-driven design
• Mentorship from experienced scientists and startup leadership
• Exposure to collaborations with pharma and leading AI drug discovery companies
• Opportunity to contribute to publications and high-impact scientific outputs
• Fast learning curve in a growing biotech startup
• Competitive salary based on experience
• Equity (stock options)
• Company-paid medical, dental, vision, and life insurance