Data Scientist

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

Work Schedule: Monday – Friday, 8 a.m. – 5 p.m.

Summary

This position is located within IQuESt, the Center for Innovations in Quality, Effectiveness and Safety. We are the largest center for Health Services Research within the Southwest. We conduct high-quality scientific research that improves the health of patients across the nation, by helping to ensure the patient-centered delivery of scientific discoveries. We are seeking a Data Scientist who will be responsible for developing and applying advanced statistical, machine learning, and artificial intelligence methods to large-scale clinical and administrative healthcare datasets; collaborating with multidisciplinary teams to design impactful research studies; and creating predictive models, natural language processing pipelines, and reproducible analytic workflows that support high-quality scientific publications and improve healthcare delivery.

Job Duties

Machine Learning & Statistical Model Development (35%)

• Design, develop, and validate machine learning, deep learning, and statistical models using structured and unstructured healthcare data, including VA CDW, CMS, NIH, and physiologic signal repositories.
• Conduct feature engineering, model selection, hyperparameter tuning, and evaluation using appropriate statistical methodologies and advanced deep learning techniques (CNNs, transformers, multimodal fusion).
• Develop and maintain NLP pipelines and LLM-based tools to automate extraction of clinical information from electronic health records.
• Build reproducible data processing pipelines for structured datasets, time-series signals, polysomnography, wearable sensors, and continuous monitoring data.

Research Collaboration & Study Design (20%)

• Collaborate with clinicians, engineers, epidemiologists, biostatisticians, and research staff to define research objectives and translate clinical questions into computational methods.

Dissemination & Reporting (20%)

• Prepare manuscripts, visualizations, technical reports, and grant materials.
• Present findings at institutional, national, and international meetings.
• Perform other duties as assigned.

Minimum Qualifications

• Master’s degree in statistics, science, mathematics or related field.
• Five years of relevant experience.

Work Authorization Requirement:

This position is not eligible for visa sponsorship.Candidates must be legally authorized to work in the United States at the time of application and throughout the duration of employment.

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

Baylor College of Medicine fosters diversity among its students, trainees, faculty, and staff as a prerequisite to accomplishing our institutional mission and setting standards for excellence in training healthcare providers and biomedical scientists, promoting scientific innovation, and providing patient-centered care. Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.