Senior Research Associate Molecular Engineering
Independent nonprofit research institute building AI-and-biology tools and conducting biomedical research on complex diseases.
About Arc Institute
Arc Institute is a Palo Alto-based independent nonprofit founded in 2021. It supports long-term biomedical research and develops experimental, computational, and machine-learning technologies, including virtual-cell and genomic foundation models, in partnership with Stanford University, UC Berkeley, and UCSF.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will support genetic perturbation screening workflows in human pluripotent stem cell-derived microglia. You will culture and differentiate stem cells, conduct lentiviral transduction experiments, characterize genetically perturbed cells using cell-based and molecular assays, maintain laboratory records and inventory tracking, troubleshoot protocols, and analyze and present data.
Requirements
- BS degree in a relevant field with 4+ years of relevant experience, or MS degree in a relevant field with 2+ years of relevant postgraduate experience
- Proficient stem cell and progenitor cell culturing and routine characterization skills
- Experience running and analyzing flow cytometry experiments, including multicolor panels, immunostaining, and FlowJo analysis
- Experience with LIMS systems
- Excellent organizational and time-management skills
- Strong oral and written communication skills
- Ability to multitask, learn, and work collaboratively
- Ability to work onsite in Palo Alto five days per week
- Ability to perform occasional weekend work
Responsibilities
- Execute routine stem cell culture and differentiation protocols
- Conduct and optimize medium- to high-throughput lentiviral transduction experiments
- Characterize genetically perturbed cells using flow cytometry, imaging, immunostaining, and molecular biology techniques
- Support arrayed and pooled genetic perturbation screens
- Maintain efficient and reproducible experimental workflows
- Maintain records in an electronic lab notebook and track materials and reagents in LIMS
- Troubleshoot and improve protocols and platform capabilities
- Analyze and present data at internal meetings and seminars
