McGovern Medical School at UTHealth Houston (https://med.uth.edu), Department of Neurology (https://med.uth.edu/neurology) is seeking a data scientist with clinical informatics, public health informatics or neuroinformatics expertise to join the Texas Institute for Restorative Neurotechnologies as a Research-Track Assistant Professor.
The prospective candidate would have the opportunity to participate in neuroinformatics initiatives, engage in field-leading research, and receive support to develop grants and collaborate and submit research findings for publication to advance the scientific knowledge of others. Research expertise/knowledge, demonstrated by peer-reviewed publications in data science, biomedical informatics, machine learning, AI and healthcare applications is most preferred.
Position Key Accountabilities:
- Work independently and collaborate on research projects that will focus on developing and conducting quantitative and qualitative research in areas of biomedical informatics and AI and healthcare applications.
- Participate in committees at the school and university levels, contribute to the broader community, and help enhance curriculum for medical students, resident, fellows, and post-docs.
- Mentor post-docs and graduate student research assistants in research and development activities.
- Participate, develop, and increase the scope of collaborative and funded – program portfolio for the institution. Independent extramural funding is encouraged, but not required.
- Assist the UTHealth Chief Data Scientist in strategic planning and operational activities across school and inter-institution collaborations involving health data.
Qualifications:
- Doctorate Degree (Ph.D.) with 1 year of experience as a Research Associate or Postdoctoral Fellow beyond the terminal degree in related research environment with verifiable publications
- History of participation in extramural research funding
- Outstanding research, interpersonal and communication skills
Preferred Qualifications:
- Expertise in using machine learning and AI technologies to address healthcare problems
- Experience in using information technology to manage and process data sets in conjunction with electronic health records in the context of creating a data ecosystem and for domain-specific disease registries and repositories
- Background in neuroinformatics and big data
Please visit the following link to apply: https://uth.referrals.selectminds.com/faculty (search 2300003V)
Assistant/Associate Professor, Texas Institute for Restorative Neurotechnologies (TIRN) - Neurology, McGovern Medical School
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