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

Assistant Professor - Data Science (Trauma, Critical Care, and Healthcare Disparities Research) Division: Surgery Work Arrangement: Location: Houston, TX | Salary Range: FLSA Status: Exempt Baylor College of Medicine and Department of Surgery Baylor College of Medicine is one of the nation’s premier academic health science centers, known for excellence in education, research, and community service. It is situated in the heart of Texas Medical Center and affiliated with Baylor Affiliates including Harris Health Ben Taub Hospital, Baylor St. Luke’s Medical Center and The Baker Institute at Rice University. Position Overview The Michael E. DeBakey Department of Surgery and Harris Health Ben Taub Hospital are seeking an early‑career PhD investigator at the rank of assistant professor or above with training in data science applicable to trauma, surgical critical care, and health care disparities research. The investigator will provide data analysis and will play a major role in developing and implementing advanced analytic tools in a multidisciplinary team, creating analytical solutions through data mining, machine learning, artificial intelligence, and emerging technologies. The investigator will join the 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, with the option of a joint appointment in the Michael E. DeBakey Department of Surgery and The Baker Institute at Rice University. Summary The investigator will evaluate data quality, prepare data, generate insights, and develop and present high‑impact data stories for quality improvement and research projects to improve trauma and critical care quality at Harris Health Ben Taub. The role involves collaboration with faculty and residents to disseminate findings through intramural and extramural research, 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 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. Collaborate with surgical faculty, residents and other partners on data preparation, feature engineering, and model development to improve care quality, prevent errors and implement safer, more efficient trauma and surgical care. Contribute to health policy related to 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, plus at least 2 years of healthcare industry experience. Successful track record of collaboration with clinical investigators and interdisciplinary teams. Successful track record of training students and postdoctoral fellows. Accomplished academic record sufficient for an assistant professor level appointment at Baylor College of Medicine. Equal Opportunity Employer Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer. The university fosters diversity among its students, trainees, faculty, and staff as a prerequisite to accomplishing its institutional mission. Requisition ID: 25331 #J-18808-Ljbffr Baylor College of Medicine