Our mission: eradicate Type 1 diabetes.
GloGlo is building an AI-native therapeutics company based in San Francisco. We are developing AI research agents that analyze scientific literature and biological datasets, generate and challenge hypotheses, design experiments, and learn from wet-lab results.
We are building a tight in silico <> in vitro / in vivo feedback loop to identify better targets and move faster toward new therapies.
We are looking for a Founding Research Scientist in Biology to help build our experimental research program from the ground up. This is a hands-on startup role for someone who wants to think beyond the traditional biotech playbook and help take ideas from hypothesis → experiment → preclinical validation → IND → Phase 1 as quickly and rigorously as possible.
What you’ll do
- Turn biological questions and AI-generated hypotheses into rigorous experiments
- Design and execute in vitro studies and help develop in vivo programs
- Analyze results and feed experimental evidence back into our AI systems
- Develop assays, models, and experimental workflows from scratch
- Help prioritize targets and therapeutic approaches
- Build our early wet-lab capabilities and scientific partnerships
- Work with CROs, academic collaborators, and external labs when outsourcing is faster than building internally
- Help plan the path toward candidate selection, IND-enabling studies, regulatory submission, and first-in-human / Phase 1 trials
- Work directly with the founders and scientific leadership
What we’re looking for
- PhD or equivalent research experience in immunology, autoimmunity, T1D, beta-cell biology, cell biology, molecular biology, or related fields
- Strong hands-on wet-lab experience
- Ability to independently design, execute, and troubleshoot experiments
- Comfortable working in a fast-moving, ambiguous startup environment
- Excited about combining AI and experimental biology
- High scientific rigor, curiosity, and willingness to challenge assumptions
One of our founders has lived with Type 1 diabetes for 17 years. We intend to work on this until we solve it.