Postdoctoral Research Associate

Postion title: Post-doctoral Associate


● Regularly conduct computational experiments to execute algorithms on various health and biomedical informatics projects
● Assist with new project development including literature review, study design.
● Work under general supervision but usually is given the latitude to make decision on projects that s/he is accountable for delivering on; decisions may involve an approach from among alternatives, determining how to best use available resources
● Design and/or implement AI methods, summarize findings, and generate study results for research topics
● Write, edit or critique technical reports and/or publications describing research results to sponsors or funders of the research,
● Communicate and present analytical results to researchers, faculty, and other academic professionals in associated fields of expertise (spoken presentations, poster or written work summaries for display, panels, and other formats).


Required Qualifications:
● A Ph.D. degree in Biomedical/Health Informatics, Computer Science, Information Science, Computational Linguistics, Data Science, Artificial Intelligence, or a related technical field.
● Strong programming skills in Python, Java, etc.
● Expertise in machine learning, neural networks, and deep learning
● Excellent writing and communication skills
● Highly motivated, ability to identify potential problems and develop solutions.
● Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs

Preferred Qualifications:
● Research experience in natural language processing on biomedical and/or clinical texts, computer vision on medical images, causal inference, predictive modeling on longitudinal data.
● Expertise in transformers, reinforcement learning, transfer learning
● Experience with leading projects within a research team
● Working knowledge of modern web service and/or software implementation
● Ability to work collaboratively with a diverse group of research scientists with different skill sets and expertise
● Strong experience with peer-reviewed publications