Description
About SPOC Biosciences
SPOC Biosciences is building the next-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.
Role Overview
We are seeking a 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, and ability to work in 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 and optimize binding assays (including SPR and related platforms)
Generate high quality quantitative interaction data sets
Contribute to validation of AI-designed protein and antibody binders
Analyze experimental data and produce high quality visualization and reports
This role provides an opportunity to gain exposure to high-throughput experimentation, AI-integrated workflows, and industry partnerships.
Requirements
Required Qualifications
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 studying or computational modeling of protein-protein or protein-antibody interactions
Strong foundation in experimental design and data analysis
Demonstrated ability to work independently in a fast-paced environment
Strong written and verbal communication skills
Postdoctoral research experience is welcomed but not required.
Nice to Have
Experience with Surface Plasmon Resonance (SPR) or other quantitative binding techniques
Familiarity with high-throughput assay development
Exposure to De 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
What You’ll Gain
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
Compensation & Benefits
Competitive salary based on experience
Equity (stock options)
Company-paid medical, dental, vision, and life insurance
401(k) with 3% company match
Onsite fitness center
