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University of Georgia- FACS

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 ...

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How much do home based biotech startup jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for home based biotech startup in the United States is $21.81, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $23.80 per hour, depending on experience, location, and employer.

What is the difference between Home Based Biotech Startup vs Laboratory Technician?

AspectHome Based Biotech StartupLaboratory Technician
CredentialsBiotech-related degrees or certifications, self-motivationAssociate's or Bachelor's in Life Sciences, technical certifications
Work EnvironmentHome office, remote setup, flexible hoursLaboratory setting, equipment-based, structured hours
Employer & Industry UsageStartups, biotech research, freelance projectsResearch labs, hospitals, biotech companies
Search & Comparison IntentEntrepreneurship, remote biotech workTechnical skills, lab work, employment opportunities

Home Based Biotech Startups typically involve self-directed work in a remote environment, often focusing on entrepreneurial projects or freelance research. Laboratory Technicians work in structured lab settings, performing technical tasks under supervision. While both roles require biotech knowledge, the startup role emphasizes independence and flexibility, whereas the technician role emphasizes hands-on technical skills in a formal lab environment.

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Home Based Biotech Startup jobs near you
Infographic showing various Home Based Biotech Startup job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 78% Full Time, 14% Part Time, and 7% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $45,370 per year, or $21.8 per hour.

Research Scientist - Protein Design & Analysis

Scottsdale, AZ • On-site

University of Georgia- FACS
See more jobs at University of Georgia- FACSexternal

Other

Medical, Dental, Vision, Life, Retirement

Posted 10 days ago

Job 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
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
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