UTMB Faculty Group Practice · 4 hours ago
Research Scientist I, Moody Brain Health Institute
Galveston, Texas, United States
Full-time
Onsite
Mid, Senior LevelUTMB Health is focused on advancing brain health through innovative research. The Research Scientist will lead efforts in developing digital twin models for brain health and health trajectory prediction, integrating diverse patient data to enhance early diagnosis and personalized interventions.
Hospital & Health Care
Responsibilities
Execute the core’s research initiatives, advancing key projects and objectives
Design and implement predictive models based on patient data to support research and clinical applications
Lead the development of virtual patient models to advance personalized medicine and data-driven research
Develop comprehensive data extraction strategies for Electronic Health Record (EHR) data, ensuring efficient and accurate analysis
Integrate multi-scale data sources such as neuroimaging, omics, cognitive, behavioral, and EHR data to build comprehensive individual-level representations
Present research findings and core activities at both internal and external conferences, symposia, and workshops
Support grant applications and publications, highlighting innovations in digital twin technologies for brain health
Contribute to infrastructure planning, including computing resources, secure data management, and AI model governance
Partner with the core director to plan resources and training for the development of AI tools and technologies
Qualification
Required
PhD in Bioinformatics, Data Science, Biomedical Informatics, or a related biomedical field
Proven experience in Artificial Intelligence and/or statistical modeling
Familiarity with EHR data extraction, and analysis
Excellent communication skills and ability to collaborate with interdisciplinary teams
Excellent communication and interpersonal skills with a high degree of professionalism
Experience with high-throughput data analysis
Proficiency in AI, deep learning, and data fusion techniques for multimodal health data
Familiarity with federated or privacy-preserving learning for healthcare applications
Strong analytical skills and a proactive approach to problem resolution
Excellent decision-making skills
Preferred
Experience in working with AI and machine learning models, particularly in the biomedical context
Experience in digital twin frameworks, personalized modeling, or health trajectory prediction
Proven ability to lead collaborative, data-driven projects across disciplines
Prior involvement in leading or managing research projects
Company
UTMB Faculty Group Practice
The University of Texas Medical Branch (UTMB) Faculty Group Practice (FGP) is comprised of over 950 faculty physicians and advanced practice providers who drive UTMB’s mission of improving health by delivering innovative education and training, pursuing cutting-edge research, and providing the highest quality patient care.
501-1000 employees
Funding
Current Stage
Late StageCompany data provided by crunchbase