Join us at the frontier
of AI in medicine

We're looking for a Product Designer to join our team on a contract basis and help build out the Unlearn Platform - a connected product suite powered by digital twin technology, data and AI that helps clinical development teams drive decisions across the trial lifecycle. You'll own end-to-end design for features within a defined product area — taking work from discovery through prototyping, validation, and delivery — in close partnership with PMs and Engineering. You'll work within our existing design system and design patterns, applying a high bar for craft while moving quickly.

This is a hands-on execution role. We are designing highly technical, industry-specific, data-rich tools with complex workflows. The ideal candidate is a strong maker who's comfortable with ambiguity at the feature level, communicates design decisions clearly, and is energized by complex, data-rich problems. There's meaningful potential for this contract to convert to a full-time position for the right fit.

We are seeking a high-caliber Platform Engineer to join our mission. At our core, we believe that world-class AI and software is only as good as the platform it runs on. We are looking for a software engineer who views MLOps and infrastructure as a software problem.

In this role, you will build the Clinical AI Platform for our science and product teams, creating internal tools, automated workflows, data tools, pipelines, and infrastructure that allow out teams to deliver value to our customers. You will be the architect of a resilient, high-performance ecosystem designed specifically for the unique demands of clinical data and high-compute AI workloads.

We are looking for an effective product manager who wants to help build new products on a computationally-focused, data-driven, AI-powered platform to solve top pain points in the pharmaceutical industry. The Product Manager will have a track record of impactful product development, a broad knowledge base of data products and cutting edge AI technologies, and a proven track record of collaboration with different types of teams including design, engineering, marketing, and business development. They will also be capable of developing a deep understanding of the problems our customers and users at biopharma companies encounter while running clinical trials. The ideal candidate must also have demonstrated experience with the techniques and methods of modern product discovery and product delivery.