5 дней назад
Senior Research Associate - Technology Development
104 000 - 110 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Research Associate - Technology Development (AI-driven gene editing and protein design): Developing and scaling high-throughput mammalian cell-based gene-editing assays with an accent on automation, molecular biology, flow cytometry, and next-generation sequencing. Focus on designing arrayed and pooled assays, building DNA libraries, analyzing experimental datasets, and troubleshooting workflows at the intersection of biology, automation, and data.
Location: On-site in Emeryville, California, United States
Hiring salary range: $104,000–$110,000 USD per year
Company
is an AI lab developing foundation models for biological molecules and gene-editing technologies for applications in medicine, agriculture, and healthcare.
What you will do
- Develop, execute, automate, and scale arrayed and pooled mammalian cell-based gene-editing assays.
- Design and run low- and high-throughput plasmid-cloning campaigns to build DNA libraries.
- Use plate-based assays, flow cytometry, and next-generation sequencing readouts.
- Perform mammalian cell culture, transfection, data analysis, and experimental interpretation.
- Track samples, assay data, and results, and present findings in team and cross-team meetings.
- Maintain the laboratory and follow environmental, health, and safety standards.
Requirements
- BS with 4 years or MS with 2 years of relevant industry research experience in molecular biology, biochemistry, cell biology, or a related field.
- Extensive hands-on experience with mammalian and bacterial cell culture and molecular biology.
- Experience with flow cytometry.
- Strong organizational and communication skills, with the ability to collaborate across interdisciplinary teams.
- Ongoing United States work authorization is required; employer sponsorship is not available now or in the future.
Nice to have
- Experience with CRISPR and mammalian cell-based gene-editing assays.
- Experience with next-generation sequencing wet-lab and computational workflows.
- Experience with high-throughput screening and process development.
- Experience analyzing large experimental datasets using Python or JMP.
Culture & Benefits
- Opportunity to contribute to AI-driven protein design and gene-editing research.
- Interdisciplinary collaboration across machine learning, protein engineering, cell biology, and gene editing.
- Equity participation and competitive compensation.
- 401(k) with employer match and comprehensive health, dental, and vision insurance.
- Generous paid time off, work-life balance support, and professional development opportunities.
Hiring process
- Employment eligibility and work authorization must be verified before hiring.
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