AI Engineer
il y a 7 jours
Inato is a Tech for Good company striving to bring clinical research to each and every patient, regardless of who they are or where they live. To do this, we are building the world's first clinical trial platform to create greater visibility, access, and engagement across a more diverse population of doctors and their patients.
Drug development is a challenging, intellectually complex, and rewarding endeavor: we enable global pharmaceutical companies to confidently partner with community-based researchers to increase patient access to the latest medical innovations. Our AI-powered platform currently offers clinical trials from leading companies to over 5,500 sites across the globe and we are well poised for growth in 2026.
We are a growing team of passionate pharmaceutical experts, software and AI engineers, professional services members, and many more—all bringing their unique perspectives to solve the challenges facing clinical research.
Inato is the recent recipient of Fast Company's Most Innovative Companies of 2024, Fierce Healthcare's Fierce 15, and Built In's Best Places to Work 2025.
The Role
We are looking for a dedicated and creative AI Engineer to join our team. As an essential contributor to our mission of transforming healthcare, you'll play a leading role in building AI-driven solutions that directly influence clinical research and, ultimately, improve patient care. We've already deployed multiple use cases in production, and your skills will be crucial in pushing the boundaries of healthcare AI.
Responsibilities
In this role, you'll take on complex challenges that will stretch your abilities and creativity:
Choose and orchestrate the right models to process and analyze multimodal data
Design and implement cutting-edge RAG techniques to efficiently handle large medical documents and patient histories
Build agentic systems to revolutionize key aspects of drug development such as patient recruitment or site selection
Work closely with cross-functional teams (software engineers, product managers, data engineers) to seamlessly integrate AI into our platform
Collaborate with medical experts to gather ground truth data and improve our product
Here are some examples of projects you might work on:
Our prescreening tool: an app relying on the latest reasoning models and visual RAG to accelerate patient recruitment. It's already being used across more than 50 clinical sites to assess patient eligibility at scale. You may find more on this in our recent publication:
Our prescreening sponsor agent: an app designed for sponsors to help them extract actionable insights from all the data generated by on-site activity
Our site selection agent: an agentic assistant coupled with a mathematical optimizer to assist pharmaceutical sponsors in their search for efficient clinical sites and find the right mix of sites for every study
Qualifications
At least 3 years of experience in Machine Learning/AI roles (bonus if in healthcare industry)
Strong experience with LLMs and related tools and techniques
Start-up experience strongly preferred
Strong problem-solving abilities
Excellent oral and written communication skills in English
Ability to autonomously deliver clean and production-ready code
Benefits:
Remote-first philosophy & flexible hours
Top-of-the-line equipment
Modern free health insurance (Benefiz)
Compensatory time off (RTT)
Lunch vouchers (Swile)
Gym membership (Gymlib)
Free books & learning material
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