Join us at the frontier
of AI in medicine

As the VP of Engineering, you will lead our engineering function, an organization of engineers spanning core engineering, applications, ML/AI Ops, and infrastructure. Engineering plays a critical role in our ability to deliver AI technology through models, applications, and agentic systems, and this role will ensure the potential of AI systems are realized across that technical stack.

This is an execution-focused leadership role, focused on the core engineering systems, software applications, infrastructure, and forward deployment that drive AI-heavy, tech-enabled services. You will partner closely with Product, Delivery, and R&D teams to understand requirements, integrate engineering with our customer delivery teams, and build the platform and tools they use to do their best work.

Leading Pharma and Biotech companies trust Unlearn to deliver scientifically rigorous work using digital twins on studies where the stakes are high and the timelines are real. As the VP of Clinical Solutions, you will lead an organization of scientists and technical leaders across a wide array of active customer projects with different timelines, needs, and opportunities.

This role sits at the intersection of scientific leadership and operational excellence. On one side, you will develop technical teams through hands-on people leadership, technical governance, and deep domain judgment about what rigorous clinical and scientific delivery work looks like. On the other, you will keep delivery on track across a growing portfolio, resourcing projects effectively as we scale, and partnering across functions to solve problems before they reach customers.

Our Science organization leads Unlearn’s efforts to build new capabilities across machine learning, statistics, and AI tools that help our teams create and deliver digital twin solutions to customers. This first-of-its-kind role at Unlearn will be responsible for scaling the use of agents for core business problems and deliver impact in efficiency and extensibility. Successful AI Engineers at Unlearn will be entrepreneurial in their approach; feeling a strong sense of end-to-end ownership of their mission, they collaborate heavily and investigate broadly to find the right tools and techniques to help their teams succeed.

Unlearn is hiring a Product Manager to own the data products behind our models: the pipelines, datasets, and tooling that turn raw clinical trial data into model-ready inputs. This is a hands-on role on a foundational data platform, working closely with the Head of Product, engineering leads, and the scientific teams that build and deliver models for customers. We are looking for a technical PM with at least three years on data platforms, developer tools, or internal infrastructure, who can read schemas, write queries, reason about pipeline design, and run an area end to end. The role is based in San Francisco.

Senior Clinical Data Scientists at Unlearn build world-class data products that underpin advances in machine learning for clinical research. Working in close collaboration with machine learning scientists, engineers, clinical scientists, and product partners, they transform complex clinical data into high-quality, well-understood datasets tailored for modeling and other downstream applications. The role spans multiple disease areas and data sources, requiring strong software practices, careful data curation, and the ability to quickly develop clinical domain expertise. In addition to internal development, Clinical Data Scientists often work in forward-deployed settings, partnering directly with clients to ensure Unlearn’s solutions are appropriately tailored to real-world study designs.