Member Technical Staff - Biomedical Scientist

Overview

Member of the Technical Staff - Biomedical Scientist

We’re leveraging AI to solve one of the most consequential challenges in the pursuit of technical progress: the distribution of scientific innovations to the real world. We’re well-funded with top investors and are building a world class team.

We aren’t building AI to replace human ingenuity, but rather AI that can be a better partner in understanding and translating that ingenuity to new domains. We seek to build tools that help scientists spend less time documenting and debugging and more time doing the exploration they love. This role is based in Cambridge, MA, with flexible working arrangements.

• Design, execute, and optimize experimental protocols across molecular and cellular biology domains with a focus on reproducibility and transferability and integration with AI ML models.
• Partner with our AI/ML and software teams to generate high-quality, structured data from experimental workflows—including edge cases and failure modes—that inform product design.
• Identify critical variables and hidden steps in experimental workflows, documenting processes in a way that enables robust handoff to humans and machines alike.
• Collaborate with internal R&D teams to scale and stress-test protocols across different lab environments, automation platforms, and execution conditions.
• Support customer deployments by embedding into partner labs, piloting new workflows, troubleshooting edge cases, and capturing lessons learned.
• Act as a bridge between the field and our product/engineering teams, articulating real-world constraints and needs to shape the development of tools and infrastructure.
• Develop and maintain experimental benchmarking frameworks to validate reproducibility, accuracy, and scalability across lab settings.
• Play a key role in shaping how we operationalize the capture of tacit biological know-how—from protocol intent to executional nuance.
• Become customer-obsessed. Initiate, support, and lead program execution with external partners and collaborators to capture, document, and deliver results.
• Stay on top of the latest research in biomedicine and life sciences with an eye to integrate ML/AI and evaluate its applicability to our platform; opportunities to publish or present may be available where appropriate to establish technical leadership.

• PhD or advanced degree in Molecular Biology, Bioengineering, Computational Biology, or a related field.
• Demonstrated hands-on lab experience (industry or academic) with modern wet lab techniques including cell culture, protein engineering, and/or automation.
• Familiarity with digital lab tools (e.g., ELNs, LIMS, lab automation systems) and a desire to improve scientific workflows.
• Exceptional experimental design skills with a strong bias toward documentation, reproducibility, and iteration.
• Ability to troubleshoot protocols systematically, with attention to both technical detail and human variability.
• Ability to clearly communicate technical concepts to cross-functional teams and collaborate on projects spanning AI, biology, and product.
• Located within commuting distance from Cambridge, MA.

• Experience working with or supporting internal lab teams as well as direct customer-facing work in partner or external lab environments.
• Startup or early-stage experience preferred; comfort with ambiguity and rapid iteration is a must.
• Demonstrated experience using AI/ML tools in research, whether for experimental design, data analysis, or predictive modeling.