Assistant Professor - Data Science (Trauma, Critical Care, and Healthcare Disparities Research)

Job Description

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Job Title: Assistant Professor - Data Science (Trauma, Critical Care, and Healthcare Disparities Research)

Division: Surgery

Work Arrangement:

Location: Houston, TX

Salary Range:

FLSA Status: Exempt

Work Schedule:

Baylor College of Medicine and Department of Surgery

Baylor (www.bcm.edu) is recognized as one of the nation's premier academic health science centers and is known for excellence in education, research, and healthcare and community service. Located in the heart of the world's largest medical center (Texas Medical Center), Baylor is affiliated with multiple educational, healthcare and research affiliates (Baylor Affiliates).

The Michael E. DeBakey Department of Surgery at Baylor College of Medicine and Harris Health Ben Taub Hospital are seeking an early-career PhD investigator at the rank of assistant professor or above who has training in data science that is applicable to trauma, surgical critical care, and/or health care disparities research. The investigator will provide data analysis and have a major role in the development and implementation of advanced analytic tools in a multidisciplinary team to design, develop, and create analytical solutions through applications of data mining, machine learning, artificial intelligence (AI), and emerging technologies. The investigator will join our growing Surgical Health Services Research Academy for Research and Education (SHARE) and will have access to surgical data from Baylor St. Luke's Medical Center and Harris Health Ben Taub Hospital. The investigator may have a joint appointment in the Michael E. DeBakey Department of Surgery at Baylor College of Medicine and The Baker Institute at Rice University.

Summary

The investigator will be is responsible for evaluating data quality, preparing data, generating insights, and developing and presenting high-impact data stories for quality improvement and other research projects using surgical data to improve trauma and critical care quality at Harris Health Ben Taub; collaborating with faculty and residents to disseminate these findings through intramural and extramural research efforts; developing grant proposals; and mentoring trainees.

Job Duties

• Build and test statistical, optimization, and machine learning models, including regression, classification, clustering, natural language processing, deep learning, and/or statistical modeling using surgical data.
• Develop algorithms and predictive models to solve critical business problems in trauma and surgical critical care.
• Provide statistical and advanced analytics expertise to develop plans for surgical care projects.
• Work with surgical faculty and residents and other collaborators on data preparation, feature engineering, and model development choices to organize and deliver high quality care, prevent errors in the delivery of acute trauma and surgical care and implement safer and more efficient trauma and critical surgical care.
• Contribute to health policy related to the implementation science of enhanced trauma and surgical critical care in partnership with the Baker Institute at Rice University.

Minimum Qualifications

Required Education and Experience:

• Ph.D. in mathematics, computer science, statistics, engineering, or analytics is required in addition to 2 years of healthcare industry experience.
• Successful track record of collaboration with clinical investigators and in interdisciplinary teams.
• Successful track record of training students and postdoctoral fellows
• Accomplished academic record sufficient to fulfill criteria for an assistant professor level faculty appointment at Baylor College of Medicine.

Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.

Requisition ID: 25331

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