Principle AI Scientist

Principle AI Scientist

Unlock the future of healthcare with your expertise as a Principle AI Scientist. In this pivotal role, you will drive the technical vision and execution of cutting-edge AI solutions embedded within healthcare information systems that save lives and improve patient outcomes. Your deep knowledge of classical machine learning, deep learning, and novel AI paradigms will empower you to craft reliable, secure, and scalable applications while pushing the boundaries of innovation with Generative and Agentic AI. Join us and lead the charge in transforming healthcare through advanced AI technology designed for real-world impact.

What You'll Do:

• Lead the full lifecycle of AI/ML application development, from data exploration and model training to deployment in production environments.
• Architect hybrid models combining Classical ML techniques with Deep Learning and Generative AI to address complex healthcare challenges.
• Design agent-based reasoning systems that automate clinical workflows, ensuring "human-in-the-loop" safety standards are upheld.
• Serve as the technical authority on AI/ML strategy, ensuring models are explainable, robust, and compliant with healthcare regulations such as HIPAA and HITRUST.
• Bridge research and engineering by transforming innovative ideas into scalable, maintainable solutions.
• Mentor engineering teams through rigorous code reviews, architectural guidance, and best practices.

Required Skills:

• Deep expertise in Classical ML (Random Forests, XGBoost, ensemble methods) and Deep Learning (CNNs, RNNs, Transformers).
• Proven experience designing and deploying large-scale, real-world AI applications.
• Strong programming skills in Python, with proficiency in PyTorch, TensorFlow, Scikit-learn, and Hugging Face.
• Experience with Generative AI and Agentic frameworks like LangChain, LangGraph.
• Expertise in MLOps practices including CI/CD pipelines, model monitoring, and version control.
• Knowledge of cloud infrastructure (AWS, GCP, Azure) and containerization (Docker/Kubernetes).
• Familiarity with healthcare data standards such as FHIR, HL7, and working with unstructured clinical notes.
• Strong understanding of healthcare regulations and compliance.

Nice to Have Skills:

• Prior experience in healthcare, life sciences, or regulated environments.
• Advanced certifications in cloud platforms or AI frameworks.
• Knowledge of clinical workflows and operational healthcare challenges.
• Experience with data privacy, security protocols, and bias detection frameworks in healthcare AI.

Preferred Education and Experience:

• PhD in Computer Science, AI, Machine Learning, or a related quantitative field with 5+ years of applicable experience, or Master's degree with 8+ years of relevant industry experience.
• Demonstrated track record of deploying mission-critical AI systems in healthcare settings.

Other Requirements:

• Willingness to participate in occasional travel for collaborations or conferences.
• Strong communication skills for cross-functional teamwork and stakeholder engagement.

If you are a visionary AI leader eager to shape the future of healthcare through innovative, reliable, and compliant AI solutions, we want to hear from you. Apply now to join our transformative team and make a meaningful impact in the healthcare industry.