Drimva

Profluent

Senior Research Associate - Technology Development

$104K–$110K

Emeryville, California, United States +2 · Senior · Full-time · Posted Sep 25, 2026

Location
Emeryville, California, United States
On-site
Emeryville, California, United States
Experience
4 years with a BS, or 2 years with an MS, of relevant industry research experience.
Education
BS or MS in Molecular Biology, Biochemistry, Cell Biology, or a related field.
Visa sponsorship
Applicants must have ongoing U.S. work authorization that does not require employer sponsorship; sponsorship will not be provided now or in the future.

About the job

Develops and optimizes high-throughput workflows and assays for mammalian gene editing, combining laboratory experimentation, automation, and data analysis.

What you'll do

  • Develop, execute, and automate mammalian cell-based gene-editing assays and plasmid-cloning campaigns.
  • Perform cell culture and transfection; analyze experimental data and interpret results.
  • Coordinate project priorities, document and track experiments, and present results to colleagues.

What they ask for

  • BS in Molecular Biology, Biochemistry, Cell Biology, or a related field, with 4 years of relevant industry research experience; or MS in one of these fields with 2 years of relevant industry research experience.
  • Extensive hands-on experience with mammalian and bacterial cell culture and molecular biology.
  • Excellent communication and collaboration skills across interdisciplinary teams.
  • Strong organization skills for accurately tracking laboratory samples and experimental data.

Nice to have

  • Experience with CRISPR or mammalian cell-based gene-editing assays, next-generation sequencing workflows, high-throughput screening, or flow cytometry.
  • Experience with large experimental datasets (e.g., Python or JMP), process development, and structured collaboration.

Pay

$104,000 — $110,000 USD (base salary)

Tools

Python, JMP, flow cytometry, next generation sequencing (NGS), CRISPR

AI focus

The role develops gene-editing technologies in an AI-driven protein-design context; no specific AI development tasks are stated.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 4, 2026 (UTC)