Assistant Professor of Research, Internal Medicine – MBHI Data Science – Faculty

JOB SUMMARY

The Assistant Professor will lead and contribute to the research, service, and operational activities of the core within the Moody Brain Health Institute. The role will focus on application of advanced predictive and Artificial Intelligence models to patient data. This will include development of digital twins, ghost patients, and creation of simulated data. They will also contribute to statistical and bioinformatic analysis, development of grant proposals, and scholarly publications. The Assistant Professor will also collaborate with internal and external stakeholders, actively supporting the technology and data needs of the core.

ESSENTIAL JOB FUNCTIONS

• Lead and 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.
• Craft and submit grant proposals to secure funding for the core’s research and operational needs.
• Author and publish scholarly articles in peer-reviewed journals, contributing to the scientific community.
• Present research findings and core activities at both internal and external conferences, symposia, and workshops.
• Assist in identifying and defining the technological infrastructure and tools needed to advance the core’s research.
• Partner with the core director to plan resources and training for the development of AI tools and technologies.

KNOWLEDGE/SKILLS/ABILITIES

•  Excellent communication and interpersonal skills with a high degree of professionalism. 
• Experience with high-throughput data analysis.
• Experience in statistical analysis and machine learning.
•  Excellent communication and collaboration skills, with the ability to convey complex bioinformatics concepts to non-experts.
• Strong analytical skills and a proactive approach to problem resolution.
• Excellent decision-making skills.

EDUCATION & EXPERIENCE

Minimum Qualifications:

• PhD in Bioinformatics, Data Science, Biomedical Informatics, or a related biomedical field.
• Proven experience in bioinformatic analysis and/or statistical modeling,
• Strong record of peer-reviewed publications or successful grant proposals.
• Familiarity with EHR data extraction, and analysis.
• Excellent communication skills and ability to collaborate with interdisciplinary teams.

Preferred Qualifications:

• Experience in working with AI and machine learning models, particularly in the biomedical context.
• Prior involvement in leading or managing research projects.

SUPERVISION

Received: Assistant Director of Bioinformatics

Given: N/A

WORKING ENVIRONMENT/EQUIPMENT

Standard working environment/equipment