Health Data Scientist — ML, NLP & Clinical Insights

Baylor College of Medicine; Texas; On-site; USD 110,000 - 150,000; Full time

Job summary

Baylor College of Medicine in Houston, Texas is seeking a Data Scientist to develop and apply advanced statistical, machine learning, and artificial intelligence methods to large-scale clinical and administrative datasets, in collaboration with multidisciplinary teams.

The role focuses on designing predictive models, NLP pipelines, and reproducible analytic workflows that support high-quality publications and improvements in patient care, within IQuESt, the Center for Innovations in Quality,

Qualifications

• Master’s degree in statistics, science, mathematics or related field.
• Five years of relevant experience.
• Work authorization to work in the United States at time of application and throughout employment.

Responsibilities

• Machine Learning & Statistical Model Development: design, develop, and validate ML, deep learning, and statistical models using structured and unstructured healthcare data.
• Research Collaboration & Study Design: collaborate with clinicians, engineers, epidemiologists, biostatisticians, and staff to define objectives and translate clinical questions into computational methods.
• Dissemination & Reporting: prepare manuscripts, visualizations, technical reports, and grant materials; present findings at meetings.

Education

Master’s degree in statistics, science, mathematics or related field

Job description

Baylor College of Medicine in Houston, Texas is seeking a Data Scientist to develop and apply advanced statistical, machine learning, and artificial intelligence methods to large-scale clinical and administrative datasets, in collaboration with multidisciplinary teams.

The role focuses on designing predictive models, NLP pipelines, and reproducible analytic workflows that support high-quality publications and improvements in patient care, within IQuESt, the Center for Innovations in Quality,