Faculty (Assistant Professor) TIRN - Neurology (Neuroinformatics), McGovern Medical School at UTHealth in Houston, Texas

Job Description:

McGovern Medical School at UTHealth Houston , Department of Neurology, is seeking a data scientist with expertise in clinical informatics or neuroinformatics, as well as research interests focused on neurological diseases, to join the Texas Institute for Restorative Neurotechnologies (TIRN) as a Research-Track Assistant Professor.

The prospective candidate would be able to participate in neuroinformatics initiatives, engage in field-leading research, assist in developing grant proposals, and collaborate on and submit research findings for publication to advance scientific knowledge. Research expertise/knowledge, demonstrated by peer-reviewed publications in data science, biomedical informatics, machine learning, AI, and healthcare applications, is most preferred.

Position Key Accountability:

• Work independently and collaboratively on research projects that focus on developing and conducting quantitative and qualitative research in the areas of biomedical informatics, 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, residents, fellows, and post-docs.
• Mentor post-docs and graduate student research assistants in research and development activities.
• Participate in, develop, and expand the scope of collaborative and funded program portfolios 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.) in related research environment with verifiable publication.
• History of participation and contribution to extramural research funding activities.
• Outstanding research, interpersonal, and communication skills.

Preferred Qualifications:

• Expertise in using machine learning and AI technologies to address healthcare problems.
• Experience in utilizing information technology to manage and process data sets in conjunction with electronic health records, particularly in the context of creating a data ecosystem and for domain-specific disease registries and repositories.
• Background in neuroinformatics, ontologies, and large-scale data.