WHAT YOU'LL DO:
- Lead and scale a high-performing team of NLP engineers and applied scientists, instilling a culture of technical excellence, curiosity, and impact.
- Define and drive the strategic vision for NLP and Generative AI initiatives across IMO’s internal tools and client-facing products.
- Mentor and develop team members through structured feedback, goal setting, and tailored growth paths to support long-term career advancement.
- Provide hands-on technical leadership across architecture design, system scalability, and performance optimization for high-throughput NLP systems.
- Drive innovation by applying advanced NLP techniques—including LLMs, AI agents, semantic analysis, and predictive modeling—to complex healthcare problems.
- Collaborate cross-functionally with Product, Engineering, and Clinical Informatics to identify, scope, and deliver high-impact NLP-driven features and tools.
- Oversee model deployment in production environments, implementing robust MLOps pipelines, CI/CD workflows, and monitoring frameworks.
- Establish and refine team OKRs, implement Agile best practices, and promote strong documentation and reproducibility standards.
- Stay on the forefront of NLP research and GenAI advancements, bringing new insights into team strategy and solution design.
- Champion best practices in responsible AI, ensuring ethical, explainable, and equitable applications of language technologies in healthcare.
WHAT YOU'LL NEED:
- Master’s or PhD in Computer Science, Machine Learning, NLP, or a related field.
- 10+ years of experience in AI/ML and NLP, with proven success delivering production-grade NLP solutions.
- 5+ years of leadership experience, managing NLP or data science teams in a fast-paced, innovative environment.
- Strong domain experience in healthcare or life sciences, with a deep understanding of industry-specific data, standards, and challenges.
- Demonstrated expertise in applying modern NLP and LLMs (e.g., GPT-4, LLaMA 3, Claude) to real-world use cases.
- Advanced proficiency in Python and the ML/NLP ecosystem (e.g., Hugging Face, PyTorch, spaCy, Transformers).
- Proven track record of designing and scaling distributed systems and high-volume transactional applications.
- Deep experience with cloud platforms (AWS, Azure), MLOps tools (SageMaker, Lambda, Airflow), and infrastructure-as-code frameworks.
- Success managing global or distributed teams, with a focus on inclusion, accountability, and continuous improvement.
- Strong communication, planning, and stakeholder management skills, with the ability to influence technical direction across departments.
NICE TO HAVE:
- Prior experience in healthcare NLP use cases, such as clinical text extraction, terminology normalization, or medical coding.
- Contributions to open-source projects, academic publications, or industry research collaborations.
Similar Jobs
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.
Gallery
