Knowledge Engineer Intern

Key Skills

Aartificial intelligence, Annotation, Computer Vision (CV), Machine learning techniques, Microsoft Office suites, Planning and organization

Job Description

Play an active role in the research team by contributing creative ideas, designing, and developing AI-based innovation solutions in healthcare, leveraging AI to enhance patient care, streamline processes, and contribute to advancements in healthcare.

You are responsible for

• Enhancing AI and machine learning models in healthcare through accurate data annotation.

• Maintaining the accuracy and reliability of medical data, essential for patient safety.

• Serving as a vital link between medical expertise and technological applications.

• Ensuring standardized and high-quality data for effective AI model training.

• Developing and maintaining annotation tools to improve efficiency and accuracy.

• Managing and training a team of annotators to handle complex medical data.

• Staying updated with evolving medical knowledge to keep AI tools relevant.

You are a part of

The Data and AI engineering department of China Engineering, where our main focus lies in driving innovation through the application of data mining, machine learning, and artificial intelligence in professional healthcare environments. We highly value a positive and productive workplace atmosphere, and our team consists of diverse backgrounds, including expertise in clinical medicine, computer vision, biomedical informatics, and computer science. This diversity creates an enriching environment that fosters collaboration and fresh perspectives. Your role will involve close collaboration with market and business teams, as well as healthcare professionals from hospitals. Together, we aim to accelerate the pace of innovation in the healthcare sector, leveraging the power of data and AI to make a significant positive impact on patient care and outcomes.

To succeed in this role, you should have the following skills and experience

• Master or PhD student with clinical medicine or relevant education background.

• Familiar with clinical workflow, possessing solid medical knowledge and professional skills.

• Knowledgeable in clinical research methodology and understands basic statistical analysis.

• Proficient in professional English reading, skilled in literature search, organization, and analysis.

• Familiar with the use of Microsoft Office suite.

• Highly adaptable, capable of working in a fast-paced development environment, with rapid learning abilities.

• Has a basic understanding of artificial intelligence or machine learning technologies.

In return, we offer you

A path towards your most rewarding career. Philips is growing its Artificial Intelligence. Succeeding in this challenging role will open many doors for your long term career, in other areas in Philips or otherwise. We also believe that we are at our best as a company when you are at yours as a person. Thus, we offer competitive health benefits, a flexible work schedule and access to local well-being focused activities.

About Philips

We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others.

• Learn more about our business.
• Discover our rich and exciting history.
• Learn more about our purpose.

If you’re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our commitment to diversity and inclusion here.