Staff Data Scientist

Job description

Job Description

Summary Seeking a highly motivated Staff Data Scientist with expertise in NLP, Machine Learning, and Generative AI to develop and deploy intelligent healthcare solutions. This role combines advanced AI model development with hands-on software engineering to deliver production-ready applications and support product releases. GE HealthCare is a leading global medical technology and digital solutions innovator. Our mission is to improve lives in the moments that matter.

Unlock your ambition, turn ideas into world-changing realities, and join an organization where every voice makes a difference, and every difference builds a healthier world. tex

Key Responsibilities: Develop, train, and optimize NLP/ML models for clinical document understanding, information extraction, text classification, summarization, semantic search, and conversational AI. Build scalable data pipelines for data acquisition, annotation, model training, evaluation, and monitoring. Design and implement production-ready AI services, APIs, and microservices. Collaborate with software engineering teams to integrate AI capabilities into healthcare products.

Contribute to application development, testing, debugging, and release activities during product delivery cycles. Deploy and monitor AI models using MLOps best practices, ensuring reliability, scalability, and performance. Work with cross-functional teams including product management, clinical experts, and engineering to deliver innovative solutions. Ensure compliance with healthcare quality, privacy, security, and regulatory requirements.

Educational Qualifications

Master's degree with 5+ years or PhD with 2+ years of experience in Computer Science, Data Science, AI/ML, Computational Linguistics, or related fields.

Required Qualifications

Strong experience in NLP, Machine Learning, LLMs, RAG, Information Extraction, NER, and Text Analytics. Hands-on experience with Python, PyTorch/TensorFlow, Hugging Face, NLTK/spaCy, and modern AI frameworks. Experience developing cloud-native applications, REST APIs, microservices, and CI/CD pipelines. Familiarity with Docker, Kubernetes, AWS/Azure/GCP, and MLOps practices. Strong software engineering and problem-solving skills with experience taking AI solutions from research to production.

Preferred Qualifications

Experience in Healthcare AI, Clinical NLP, or Medical Imaging. Experience supporting product releases in regulated environments. Technical leadership experience mentoring engineers and data scientists.

Inclusion and Diversity

GE Healthcare is an Equal Opportunity Employer where inclusion matters. Employment decisions are made without regard to race, colour, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. We expect all employees to live and breathe our behaviours: to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership – always with unyielding integrity.

Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you’d expect from an organization with global strength and scale, and you’ll be surrounded by career opportunities in a culture that fosters care, collaboration, and support. #Everyroleisvital #LI-SM1