About the Company
micro1 connects skilled professionals with global companies, enabling high-impact remote work opportunities across AI-driven and scientific research teams.
Role Overview
Join our customer's team as a Cell Biologist and contribute your expertise in experimental systems and cellular biology to cutting-edge AI training initiatives.
In this role, you will design and execute experiments, analyze cellular mechanisms, and help translate biological insights into structured datasets that enhance AI model performance.
Key Responsibilities
- Design and execute experiments using mammalian cell culture and transfection techniques
- Isolate and establish clonal cell lines and monitor cellular phenotypes
- Study the structure, organization, and function of cells and organelles
- Assess and document experimental variability across biological systems
- Develop and optimize protocols for reproducibility and scalability
- Collaborate with AI teams to translate biological data into structured training datasets
- Communicate findings through clear written and verbal reports
Required Skills & Qualifications
- Bachelor’s degree or higher in Biology, Cell Biology, or related field
- Minimum 1 year of hands-on lab experience with mammalian cell culture
- Proficiency in:
- Transfection methods
- Clonal isolation techniques
- Strong understanding of experimental systems and variability
- Excellent communication skills (written and verbal)
- Strong organizational and analytical thinking abilities
- Ability to work independently in a remote environment
Preferred Qualifications
- Experience with gene editing platforms (e.g., CRISPR or similar tools)
- Prior experience with AI training or data annotation projects
- Advanced degree (MS or PhD) in a relevant field
Work Details
- Work Type: Fully remote
- Engagement: Contract
- Collaborative, interdisciplinary research environment
Additional Notes
- Ideal for biologists interested in applying lab expertise to AI-driven research
- Opportunity to contribute to innovative intersections of biology and machine learning