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Open nowFirst seen 3 days ago

Lab Robotics Research Associate

Success Matcher210 open roles

Pay
$90,000 – $120,000 a year
Where
San Francisco, California, United States
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Your applicationOpen nowLab Robotics Research AssociateSuccess Matcher · San Francisco, California, United States
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12.1% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
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  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: first seen 3 days ago

The posting

Our client is a fast-growing, profitable life sciences company making DNA and RNA sequencing faster, more accessible, and affordable for scientists worldwide. With 70,000+ scientists relying on its services and a fleet of 200+ robotic liquid handlers, the company is combining biotechnology, robotics, and AI to transform laboratory workflows.

Why Join?

  • AI-driven innovation: Use AI tools to turn scientific protocols into automated robot workflows.
  • Real-world impact: Support research used by leading pharmaceutical companies and scientists worldwide.
  • Science meets engineering: Collaborate with R&D scientists, robotics engineers, and technicians.
  • Strong growth potential: Join a profitable, self-funded company with opportunities to grow alongside the team.
  • Competitive rewards: Earn $90K–$120K base salary plus equity.

What You'll Do

  • Translate R&D protocols into reliable automated workflows.
  • Program robotic liquid handlers using AI-assisted coding and existing frameworks.
  • Validate manual and automated experiments to ensure consistent results.
  • Troubleshoot liquid-handling challenges and optimize robotic performance.
  • Design and 3D-print custom adapters and tools for laboratory automation.

What We're Looking For

  • 1–3 years of Research Associate experience; academic lab experience is welcome.
  • A BS in Biology, Biochemistry, Biomedical Engineering, or a related field.
  • Hands-on wet-lab experience and an interest in software, robotics, and automation.
  • Familiarity with Python, AI-assisted coding, or laboratory automation is a plus.
  • Strong problem-solving skills and an interest in bridging science and engineering.
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