About the RoleWe're hiring an experimental biologist to help build the bridge between our AI models and the physical world.
This is a highly hands-on operational role. You'll design experiments to test ideas generated by our models, identify and manage the CROs and external laboratories that can execute them, interpret the resulting data, and work directly with our research teams to decide what to build next
This is not a traditional CRO operations role. We are looking for someone who can move fluidly between scientific strategy and execution: understanding what question we're trying to answer, designing the right experiment, getting it run quickly and rigorously, interpreting what happened, and turning the result into the next modeling or experimental decision.
Secondarily, this person will have the opportunity to help design, build, and ultimately operate Radical Numerics' internal wet-lab capabilities.
What You'll DoExperimental Strategy & Execution- Design experiments to test predictions, molecules, sequences, and biological systems generated or prioritized by our models
- Work closely with ML researchers and computational biologists to turn modeling questions into fast, informative experiments
- Analyze experimental results, troubleshoot failures, and determine the highest-value next experiments
- Help shape scientific direction, including what data to generate, which biological systems to pursue, and where experimental validation can unlock new capabilities
CRO & Experimental Partner Management- Identify and manage CROs, academic labs, and other experimental partners across multiple programs
- Develop experimental plans, protocols, budgets, timelines, and success criteria, and work directly with partners to troubleshoot and adapt experiments
- Ensure experimental quality and that raw data, metadata, and documentation are suitable for downstream modeling
- Build a network of trusted partners capable of moving quickly across a broad range of biological systems
Build Our Experimental Platform- Help determine which experimental capabilities to outsource versus bring in-house, and build our internal wet-lab capabilities over time
- Design closed-loop workflows where models propose designs, experiments test them, and the resulting data improves the next generation of models
- Identify and generate high-value training and evaluation datasets that can unlock new model capabilities
- As the organization grows, help establish lab infrastructure, workflows, instrumentation, and eventually recruit and manage an internal experimental team
What We're Looking For - PhD or equivalent research experience in experimental biology, bioengineering, molecular biology, cancer biology, synthetic biology, or a related field
- Strong experimental instincts, with experience independently designing, executing, and troubleshooting rigorous wet-lab experiments
- Experience with high-throughput or pooled experimental systems such as CRISPR screens, MPRAs, or related approaches
- Experience managing CROs, core facilities, or academic collaborators, including evaluating protocols, controls, budgets, timelines, and data quality
- Able to critically interpret experimental results and communicate effectively with both experimental and computational researchers
- Comfortable working across biological domains and taking high ownership in a fast-moving research environment
- Excited to help build experimental capabilities and laboratory infrastructure from the ground up
Nice to Haves- Experience in cancer biology, functional genomics, protein engineering, synthetic biology, virology, or therapeutic development
- Experience generating experimental datasets for machine learning or AI
- Experience building or scaling a wet lab and managing research staff
- Experience in an early-stage biotech or highly interdisciplinary research organization
