Make more Creative Job Post Content< Health AI Scientist (Researcher 5)
- Responsibilities:
Join the University of Minnesota’s Department of Surgery (DOS) and be part of an innovative team advancing healthcare through data science, artificial intelligence (AI), and natural language processing (NLP).
About Us
Our newly established Division of Health Data Science (HDS) is at the forefront of developing cutting-edge methods to analyze biomedical big data. Collaborating with the NLP/IE Program, a multidisciplinary team of experts, we aim to revolutionize clinical and biomedical tasks.
At the University of Minnesota, we prioritize diversity, inclusion, and collaboration, making our workplace as dynamic as the research we pursue.
Your Role
As a Health AI Scientist, you’ll drive transformative research in health data science, leveraging your expertise to develop and implement innovative AI solutions. You’ll contribute to groundbreaking projects, collaborate with diverse experts, and lead initiatives shaping the future of healthcare.
What You’ll Do
- Innovate & Execute: Conduct computational experiments and apply AI algorithms to health and biomedical projects.
- Design & Develop: Assist in study design, literature reviews, and experimental setups for new projects.
- Collaborate & Lead: Work alongside a multidisciplinary team while independently managing your projects.
- Communicate Results: Present findings through publications, reports, and presentations for academic and industry audiences.
- Contribute to Progress: Design and implement AI methods, summarize findings, and generate actionable results for research topics.
What You Bring
Required Qualifications
- Ph.D. in Biomedical/Health Informatics, Computer Science, or related technical field.
- Proficiency in Python, Java, and programming for AI.
- Expertise in machine learning, neural networks, and deep learning.
- Strong writing, communication, and problem-solving skills.
- Ability to excel in fast-paced research environments.
Preferred Qualifications
- Research experience in NLP, graph neural networks, and predictive modeling.
- Familiarity with deep learning, reinforcement learning, and transfer learning.
- Experience with multimodal biomedical data and leading collaborative research projects.
- Knowledge of modern web services and peer-reviewed publication experience.
Why Join Us?
- Be part of a top-ranked public research university with access to state-of-the-art facilities and resources.
- Engage in impactful research that directly influences patient care and healthcare systems.
- Work in a vibrant, diverse metropolitan community with extensive partnerships in health, technology, and public service.
