WHAT YOU'LL DO:
- Lead and scale a high-performing team of AI researchers, instilling a culture of innovation, scientific excellence, and business impact.
- Define and drive the AI R&D strategy, aligning research priorities with IMO’s broader product vision and enterprise goals.
- Oversee the full research lifecycle, from ideation and hypothesis formation to experimentation, validation, and readiness for production deployment.
- Serve as a strategic thought partner to Product, Engineering, and Enterprise Architecture leadership, identifying and framing high-value AI research initiatives.
- Ensure research translation, guiding the seamless integration of novel AI technologies into real-world products and platforms.
- Establish and evolve the AI Center of Excellence, setting best practices for experimentation, reproducibility, model evaluation, and responsible AI.
- Advance the state of AI at IMO Health, staying ahead of industry trends in machine learning, LLMs, generative AI, and healthcare AI, and infusing those insights into the roadmap.
- Champion responsible AI principles, embedding fairness, explainability, and accountability into research processes and model evaluation frameworks.
- Represent AI R&D at the executive level, contributing to cross-functional strategy, investment decisions, and technical leadership forums.
- Mentor, hire, and develop top-tier AI talent, while fostering an inclusive, collaborative, and intellectually curious team environment.
WHAT YOU'LL NEED:
- PhD or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- 10+ years of experience in AI/ML R&D, with a proven record of delivering applied innovation and leading through ambiguity.
- 5+ years of experience managing researchers or applied scientists in a high-impact setting, ideally within a scaling tech or healthcare company.
- Deep expertise in modern machine learning techniques, including LLMs, generative models, and neural architectures.
- Advanced proficiency with Python and key ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face).
- Experience with MLOps best practices and modern cloud platforms (AWS, Azure, etc.).
- Exceptional communication skills with the ability to influence across senior technical and non-technical stakeholders.
NICE TO HAVE:
- Experience applying AI in healthcare or life sciences.
- A publication record or track record of contributions to the AI research community.
- Familiarity with regulatory, privacy, or ethical considerations in healthcare AI.
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What We Do
We are a team of dedicated clinical terminologists, data scientists, industry subject matter experts, and informaticists who helped facilitate the evolution from analogue to digital capture of clinical events, the precise code-mapping that simplifies complex workflows, and the translation of unstructured into structured data. We “wrote the digital dictionary” used in every major EHR, and we are leveraging clinical AI to generate insights that expand and deepen our impact across the healthcare ecosystem.
At the end of the day, we don’t make decisions for our clients. We provide them with the digital tools to enable sound decision-making.
Why Work With Us
We are building a clinical intelligence stack—medical ontology, human expertise, and AI—that makes data more useful and more powerful. By enhancing data’s structure, richness, and precision, we reduce noise and error, streamline complexity, and create clarity across the clinical information chain.
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