Senior Scientist – AI/ML

About the role

**Job Description Summary** ===========================

The Senior Scientist – AI/ML will work in and lead teams as technical domain expert addressing statistical, machine learning and data understanding problems in early stage projects. In this role, you will contribute to the development and deployment of modern machine learning, semantic analysis, generative AI and statistical methods.

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 tex

**Job Description** ===================

We are seeking a highly motivated **Senior Scientist in AI/ML Domain** to join our Healthcare Technology \& Innovation Center, focused on building **early\-stage (low TRL) AI\-driven solutions**. This role is ideal for candidates who thrive at the intersection of **applied machine learning, physics\-informed modeling, and generative AI**, and who are passionate about translating cutting\-edge research into impactful innovations related to healthcare products, software and services.

You will play a key role in **conceptualizing, prototyping, and validating novel AI technologies**, working closely with cross\-functional teams and business stakeholders to shape the future of healthcare solutions, both for our customers and for internal users.

**Roles and Responsibilities**

As a Senior Scientist, you will be part of a data science or cross\-disciplinary team on early development projects, typically involving large, complex data sets. These teams typically include statisticians, computer scientists, software developers, engineers, product managers, and end users, working in concert with partners in GE HC business units. Potential application areas include remote monitoring and diagnostics across infrastructure and industrial sectors, and operations optimization.

Key Responsibilities

**AI/ML Innovation and Development**

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* Lead the **design and development of novel AI/ML solutions** for early\-stage healthcare applications, including clinical decision support, equipment services productivity, and engineering workflow automation. * Build and evaluate **retrieval\-augmented generation (RAG)** and **LLM\-based agentic systems** with emphasis on **interpretability, traceability, and reliability**. * Develop **advanced prompt engineering frameworks**, including multi\-agent workflows (e.g., Plan\-and\-Execute, ReAct) to enable complex reasoning tasks.

**Algorithm Design \& Modelling**

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* Design and implement **machine learning algorithms for structured and unstructured data**, including: + Time\-series modelling + Unsupervised and semi\-supervised learning + Anomaly detection and predictive analytics * Integrate **physics\-informed or domain\-aware models** with data\-driven approaches where applicable.

**Prototyping \& Deployment**

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* Build **end\-to\-end prototypes** using modern software stacks (Python, Flask, microservices architecture). * Deploy scalable solutions using **containerization tools (Docker)** and cloud\-native environments. * Develop **modular, reusable ML pipelines** for rapid experimentation in low\-TRL environments.

**Technical Leadership:**

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* Provide **technical leadership** on projects, guiding architecture, design decisions, and development strategy. * Mentor junior scientists and engineers, fostering a culture of innovation and rigor. * Collaborate with **clinical, product, and engineering stakeholders** to translate business needs into AI solutions.

**Evaluation \& Validation:**

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* Define evaluation frameworks to measure **model accuracy, robustness, interpretability**, and real\-world applicability. * Conduct **pilot studies and validation exercises** with domain experts. * Establish best practices for **responsible AI, explainability, and regulatory awareness**.

**Education Qualification:**

* Master’s or PhD in **Computer Science, AI/ML, Engineering, or related fields** (e.g., Aerospace, Mechanical, Electrical, Applied Math).

**Preferred Qualifications:**

* Experience in **healthcare AI** or regulated industries (or strong interest in transitioning). * \~10–15 years of experience in **applied AI/ML**, ideally in industrial or research environments. * Strong programming skills in **Python** (experience with R/Matlab is a plus). * Hands\-on experience with: + **Machine Learning / Deep Learning frameworks** + **Generative AI and Large Language Models (LLMs)** + **Retrieval methods and RAG systems** + **Time\-series analysis and anomaly detection** * Experience with **building and deploying ML systems** (Flask, APIs, Docker, microservices). * Demonstrated experience in **leading technical projects or initiatives**. * Background in **physics\-based modelling, simulations, or engineering systems**. * Experience developing **interpretable AI systems** with explainability and traceability. * Prior work on **unsupervised learning, predictive maintenance, or sensor data analytics**. * Exposure to **multi\-agent systems and advanced prompt engineering techniques**.

**Key Attributes** ==================

* Strong **problem\-solving and research mindset** suited for ambiguous, early\-stage problems. * Ability to **translate complex technical ideas into impactful solutions**. * Excellent collaboration and stakeholder engagement skills. * Passion for **innovation, experimentation, and real\-world impact**.

**Why Join Us**

* Work on **cutting\-edge AI innovations in healthcare** at low TRL. * Opportunity to shape the future of **clinical and engineering intelligence systems**. * Collaborative environment with **world\-class researchers and engineers**. * Access to real\-world data, clinical insights, and global innovation programs.

**Nice\-to\-Have Skills**

* Generative AI application frameworks (LangChain, agents, tool use) * Cloud platforms (AWS/Azure/GCP) * Data engineering and pipeline orchestration * UI frameworks (optional: Streamlit, Flutter)

**Leadership:**

* Demonstrated expertise working in team settings in various roles * Demonstrated expertise in critical thinking and problem solving methods * Demonstrated expertise in presentation and communications skills

**Personal Attributes:**

* Demonstrated skill in serving as a change agent * Demonstrated skill in working in ambiguous environments **Inclusion and Diversity**

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.

**\#EveryRoleIsVital**

**\#Hybrid**

**\#LI\-SM1**