Arc Institute
Scientist, Cell Engineering
Palo Alto, CA
Sponsorship not specified$121k-$160kDetected 40 days ago
PythonFull-Stack DevelopmentProject ManagementBioinformaticsCRISPRMolecular BiologyResearchCollaborationMentoringOrganizational Skills
About the role
- About Arc Institute Arc Institute is an independent nonprofit research organization at the interface of artificial intelligence and biology, working to accelerate scientific progress and understand the root causes of complex diseases.
- Arc's Technology Centers and Core Investigator labs work side by side, integrating experimental and computational biology under one roof to tackle problems neither could solve alone.
Requirements
- 0-3 years of post-PhD research experience (industry or academia).
- Experience with and enthusiasm for applying cutting-edge molecular tools to disease modeling and function-based screening, and implementing application-driven iterative, systematic technology maturation.
- You have a deep commitment to data quality while working in a fast-paced environment.
Nice to have
- Experience differentiating hPSCs into neural or immune lineages
- microglia differentiation experience highly desirable.
- Experience with transcriptional modulation systems (CRISPRi/a) for functional genomics screens, including effector optimization and performance benchmarking.
- Proficiency with computational tools for analyzing genomics data (Python, R, or similar).
- Experience with LIMS systems, ideally Benchling.
Skills
- More than 300 Arconauts work together at our Palo Alto headquarters, backed by substantial long-term philanthropic funding.
- About the position
Compensation
- The base salary range for this position is $121,250 - $159,500.
Company info
- About Arc Institute
- Arc Institute is an independent nonprofit research organization at the interface of artificial intelligence and biology, working to accelerate scientific progress and understand the root causes of complex diseases.
- Founded in 2021 and based in Palo Alto, Arc partners with Stanford University, UC Berkeley, and UC San Francisco.
- Unlike academia, our scientists have long-term funding and industry-like resources.
- Unlike industry, they're free to pursue high-risk, long-term research without commercial pressures.
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This listing is sourced directly from Arc Institute's careers page and normalized into a canonical job model.