Make more Creative Job Post Content< Health AI Scientist (Researcher 5)
- Responsibilities:
The University of Minnesota's Division of Health Data Science (HDS) is seeking a Health AI Scientist to join our cutting-edge team working on innovative biomedical and health data projects. If you have a passion for artificial intelligence, natural language processing, and machine learning, and you're excited about advancing healthcare through data science, this is the perfect opportunity for you!
You will have the chance to work on high-impact projects with a dynamic team of researchers, engineers, and healthcare professionals, focusing on developing novel AI methods to analyze biomedical big data. Your research will help transform healthcare systems, improving the delivery of care and patient outcomes.
What You’ll Be Doing:
- Conduct Computational Experiments: Design and execute AI algorithms on health and biomedical data, including exploring new ways to apply machine learning, neural networks, and natural language processing (NLP).
- Collaborate and Innovate: Contribute to the design of new research projects, from literature review to study design and experiment conduction.
- AI Method Development: Implement state-of-the-art AI techniques, summarize your findings, and generate research results to further scientific understanding in health data science.
- Share Insights: Communicate your results and present findings to internal teams, faculty, and academic professionals through presentations, written reports, and publications.
- Shape the Future of Healthcare: Work on transformative healthcare projects that combine AI with clinical data to deliver real-world solutions.
Who We Are Looking For:
We need a motivated and innovative scientist who is ready to apply their deep expertise in AI, machine learning, and computational data science to the evolving world of healthcare. You should have the technical expertise to lead complex research, but also be able to communicate your findings clearly to a variety of audiences.
Required Qualifications:
- Ph.D. in Biomedical/Health Informatics, Computer Science, Data Science, AI, or a related field.
- Strong programming skills in Python, Java, or similar languages.
- Expertise in machine learning, neural networks, and deep learning.
- Excellent written and oral communication skills.
- Strong problem-solving abilities and an eagerness to find innovative solutions.
- Ability to work efficiently in a fast-paced, collaborative research environment.
Preferred Qualifications:
- Research experience in natural language processing (NLP), particularly with large language models in the biomedical or clinical space.
- Expertise in graph neural networks, predictive modeling on longitudinal data, and reinforcement learning.
- Experience with multimodal biomedical data.
- Proven leadership in managing research projects and collaborating with interdisciplinary teams.
- A record of peer-reviewed publications.
About the Program:
The Division of Health Data Science (HDS) is a newly created division that focuses on innovative data science methods to analyze biomedical big data, with an emphasis on AI, NLP, and health informatics. The Natural Language Processing/Information Extraction (NLP/IE) Program is a dynamic team of researchers working on clinical and biomedical applications of NLP, and we want you to join us in this exciting journey.
Why Join Us?
- Work with a collaborative team of top-tier scientists and researchers.
- Be part of cutting-edge research that has real-world implications for improving healthcare systems and patient care.
- Enjoy the resources and opportunities of a leading academic institution.
- Experience life in the vibrant and diverse Minneapolis-St. Paul area, recognized for its quality of life and strong academic and tech communities.
