Research Scientist

**Job Description Summary**: The researcher will work in the Technology and Innovation team solving hard problems poised to create an impact in the healthcare space with data spanning across the structured and unstructured areas. In this role, you will contribute to the development and deployment of modern machine learning methods for finding structure in large healthcare data sets working closely with the business

We harness the power of technology to make healthcare more precise, more personalized, and more accessible for everyone. From driving the overall clinical research and patient-centric innovation strategy to delivering new digital and machine learning capabilities - we’re committed to improving outcomes for patients and providers, and creating a world where healthcare has no limits.

GE HealthCare is a leading global medical technology and digital solutions innovator. Our purpose is to create a world where healthcare has no limits. 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.

Roles and Responsibilities

We are looking for a highly motivated individual, passionate about Large Language Models / Transformers /GenAI to join the Healthcare Technology and Innovation team. As a Research Scientist, you will focus on exciting generative text, and multi-modal problems related to segmentation, large-scale generative models, large-scale pretraining, prompt tuning, explainability, robustness, responsible AI, quantization, etc.

Additionally, you will be responsible for:

- Developing and implementing novel machine learning algorithms particularly in the area of LLM to provide automation of clinical tasks using one or more of medical images, electronic medical records, workflows, and clinical reports.
- Exploring learning from human feedback and assisting humans evaluating AI.
- Building prototypes to enable development of high-performance AI algorithms in scalable, product-ready code.
- Working with large-scale datasets, designing, and developing generative algorithms.
- Staying current on published state-of-the-art algorithms and competing technologies.

Basic Qualifications
- Master’s Degree in a “STEM” major (Science, Technology, Engineering, Mathematics) equivalent field plus 1 to 3 years of relevant research or a PhD in similar areas
- Demonstrated expertise in building large scale AI such as generative AI models, large vision/language models, and multi-modal AI models for problems related to segmentation, detection, quantification, measurements, classification, etc.
- Implementation experience with a variety of high-level languages (e.g. Python, C++)
- Publications as first author on LLM/Foundational/Multimodal models or self-supervised learning (SSL).
- Experience and demonstrated capability to handle challenges with vague or abstract problem definition.
- Experience with frameworks and tools such as Keras, HuggingFace, Vector databases, PyTorch, Tensorflow etc.
- Experience working with large scale AI training.
- An in-depth understanding of machine learning algorithms and modeling (e.g., semi-supervised or weakly supervised learning, generative models, transfer learning, optimization, large language models, etc.)
- Track record in developing machine learning solutions using massive real-world data for solving real world business problems.

GE HealthCare is an Equal Opportunity Employer where inclusion matters. Employment decisions are made without regard to race, color, 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 behaviors: 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.

LI-hybrid

**Additional Information**:
**Relocation Assistance Provided**:Yes