As the Senior Manager of Natural Language Processing (NLP)at IMO Health, you will lead a team at the forefront of our business roadmap, driving the development and integration of cutting-edge NLP and GenAI solutions. With your deep technical expertise and leadership, you will shape the strategic vision for NLP at IMO Health, balancing hands-on guidance with high-level architectural direction. Your role will be pivotal in fostering team growth, optimizing system performance, and ensuring our NLP capabilities meet evolving market demands.
IMPACT YOU'LL MAKE:
- Product Development & Innovation: Define and execute a strategic vision for NLP and GenAI at IMO, leveraging advanced machine learning techniques, including Large Language Models (LLMs), to enhance product capabilities and deliver customer value.
- Operational Efficiency & Scalability: Lead the development of distributed, high-performance NLP systems that scale to meet the demands of complex healthcare data environments.
- Customer-Centric Solutions & Market Leadership: Collaborate with Product Management, Terminology Solutions, and Enterprise Architecture teams to embed NLP and GenAI innovations into IMO's products, ensuring we stay ahead of industry trends.
WHAT YOU'LL DO:
- Build and expand the NLP R&D and Engineering teams, fostering a culture of innovation, collaboration, and technical excellence.
- Define and execute a strategic vision for NLP and GenAI applications across internal and external IMO products.
- Mentor and coach a diverse team of NLP scientists and engineers, guiding their professional growth through structured feedback and career development initiatives.
- Provide hands-on leadership in system architecture, scalability, and process improvements.
- Drive cross-functional collaboration with key stakeholders to identify opportunities for NLP-driven advancements.
- Establish clear performance expectations, track key objectives and results (OKRs), and implement best practices for Agile development.
- Apply state-of-the-art NLP techniques—LLMs, AI agents, semantic analysis, predictive modeling, and more—to solve real-world healthcare challenges.
- Ensure the successful deployment of AI models in production, adhering to best practices in MLOps, cloud computing, and data engineering.
- Promote a culture of continuous learning, staying ahead of advancements in NLP, AI, and healthcare technology.
WHAT YOU'LL NEED:
- Master’s degree in Computer Science, Machine Learning, AI, Statistics, or a related field.
- 10+ years of experience in Natural Language Processing & AI.
- 5+ years of leadership experience managing NLP or data science teams.
- 5+ years in the Healthcare or Life Sciences domain.
- Proven experience applying LLMs (e.g., GPT-4, Llama 3) and machine learning algorithms to NLP problems.
- Strong expertise in distributed/scalable system development and high-volume transaction applications.
- Proficiency in MLOps and cloud platforms (AWS, Azure), including Lambda, SageMaker, and infrastructure-as-code for LLM deployments.
- Experience managing global teams and fostering high-performance engineering cultures.
- Exceptional communication and stakeholder management skills, with a track record of driving cross-functional collaboration.
Top Skills
What the Team is Saying
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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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IMO Health Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
We ask and expect our people to work in a way that allows them to do their best work. We also know that collaborating together inspires innovation. Our teams in the Chicagoland or Houston, TX areas find their way into an office 3 days a week.
