Lead Data Scientist

Posted 11 Hours Ago
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2 Locations
In-Office or Remote
Senior level
Healthtech
The Role
Lead the design, development, deployment, and governance of advanced analytics, machine learning, and AI solutions using large healthcare datasets. Responsibilities include data preparation, statistical and predictive modeling, model monitoring, explainability, visualization, stakeholder communication, and translating findings into clinical and operational improvements. The role also mentors data professionals, advises leaders, manages initiative priorities and risks, and promotes responsible AI and Agile practices.
Summary Generated by Built In

We're seeking a Data Scientist who thrives in a fast-paced, collaborative environment. In this role, you will lead the design, development, and deployment of advanced analytics, machine learning, and AI solutions using one of the nation's largest pediatric healthcare datasets. Partnering with clinical, operational, and technical leaders, you will drive data-driven innovation that improves patient outcomes, enhances hospital operations, and advances Texas Children's mission to create healthier futures for children worldwide.

Think you’ve got what it takes?

Job Duties & Responsibilities:
•    Analyze large, complex, and noisy structured and unstructured datasets to uncover meaningful patterns, generate actionable insights, and drive data-informed decision-making.
•    Establish data quality standards and lead data preparation efforts, including profiling, validation, cleansing, and feature engineering activities.
•    Design, develop, validate, and optimize advanced statistical, optimization, machine learning, and AI models, including regression, classification, clustering, natural language processing, deep learning, and generative AI applications.
•    Analyze large, complex, and noisy structured and unstructured datasets to uncover meaningful patterns, generate actionable insights, and drive data-informed decision-making.
•    Lead the development of descriptive, diagnostic, predictive, and prescriptive analytics solutions, partnering with data architects, engineers, clinicians, and business stakeholders to ensure scalable and impactful outcomes.
•    Architect and operationalize predictive models and advanced analytical solutions that address critical clinical, operational, and strategic business challenges.
•    Provide end-to-end ownership of data science initiatives, from problem definition and stakeholder alignment through model deployment, monitoring, maintenance, and continuous improvement.
•    Collaborate with clinical, operational, and executive stakeholders to identify opportunities where data science, AI, and machine learning can improve patient outcomes, operational efficiency, and organizational performance.
•    Translate complex analytical findings into compelling narratives and executive-level presentations that drive understanding, alignment, and action among non-technical audiences.
•    Develop intuitive and impactful visualizations that effectively communicate complex relationships, trends, and insights to diverse stakeholder groups.
•    Serve as a trusted advisor and subject matter expert, providing statistical, analytical, and AI guidance to project teams, leadership, architects, and developers.
•    Apply domain expertise to guide analytical approaches, feature selection, model design, and evaluation strategies while ensuring alignment with business and clinical objectives.
•    Mentor and coach data scientists and analysts, promoting best practices in model development, experimentation, reproducibility, and responsible AI.
•    Lead model governance activities, including performance monitoring, drift detection, validation, explainability, and compliance with organizational AI policies and standards.
•    Estimate effort, manage priorities, communicate project status, and proactively identify and mitigate risks throughout the project lifecycle.
•    Champion Agile practices and contributes to strategic planning, iteration execution, backlog refinement, retrospectives, and continuous process improvement initiatives.
•    Evaluate and incorporate emerging technologies, advanced analytics techniques, and AI innovations to enhance organizational capabilities and accelerate value delivery.
 

Skills & Requirements:
•    Master's degree in data science, mathematics, computer science, statistics, engineering, analytics, life sciences, economics, finance, business or a specific healthcare field (such as nursing, pharmacy, respiratory, etc.) required
•    Ph.D. preferred
•    5 years' experience in data science, data analytics, business analysis, data modeling, statistical analysis, statistical modeling, or machine learning, including 2 years healthcare industry experience required
•    A PhD may substitute for two years of experience.
•    Two years of licensed, clinical healthcare experience may substitute for 2 years of experience
   
 

About Us

Since 1954, Texas Children’s has been leading the charge in patient care, education and research to accelerate health care for children and women around the world. When you love what you do, it truly shows in the smiles of our patient families, employees and our numerous accolades such as being consistently ranked as the best children’s hospital in Texas, and among the top in the nation by U.S. News & World Report as well as recognition from Houston Business Journal as one of this city’s Best Places to Work for ten consecutive years. 

Texas Children’s comprehensive health care network includes our primary hospital in the Texas Medical Center with expertise in over 40 pediatric subspecialties; the Jan and Dan Duncan Neurological Research Institute (NRI); the Feigin Tower for pediatric research; Texas Childrens Pavilion for Women, a comprehensive obstetrics/gynecology facility focusing on high-risk births; Texas Childrens Hospital West Campus, a community hospital in suburban West Houston; Texas Childrens Hospital The Woodlands, the first hospital devoted to childrens care for communities north of Houston; and Texas Children’s Hospital North Austin, the new state-of-the-art facility providing world-class pediatric and maternal care to Austin and Central Texas families. We have also created Texas Childrens Health Plan, the nations first HMO focused on children; Texas Childrens Pediatrics, the largest pediatric primary care network in the country; Texas Childrens Urgent Care clinics that specialize in after-hours care tailored specifically for children; and a global health program that is channeling care to children and women all over the world. Texas Childrens Hospital is affiliated with Baylor College of Medicine, one of the largest, most diverse and successful pediatric programs in the nation. 

 To join our community of 15,000+ dedicated team members, visit texaschildrenspeople.org for career opportunities.

 Texas Children’s is proud to be an equal opportunity employer. All applicants and employees are considered and evaluated for positions at Texas Children's without regard to mental or physical disability, race, color, religion, gender, national origin, age, genetic information, military or veteran status, sexual orientation, gender identity, marital status or any other protected Federal, State/Province or Local status unrelated to the performance of the work involved.

Skills Required

  • Master's degree in data science, mathematics, computer science, statistics, engineering, analytics, life sciences, economics, finance, business, or a specific healthcare field
  • Five years of experience in data science, data analytics, business analysis, data modeling, statistical analysis, statistical modeling, or machine learning
  • Two years of healthcare industry experience
  • Ph.D. degree
  • A Ph.D. may substitute for two years of experience
  • Two years of licensed clinical healthcare experience may substitute for two years of experience
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The Company

What We Do

Texas Children's Hospital is a world-renowned pediatric hospital in Houston, Texas, specializing in pediatric and women's health. Consistently ranked as the best children's hospital in Texas and among the best in the nation, it leads in patient care, education, and research. The hospital provides a wide range of specialized services, including cardiology, neurology, and cancer care, to create a healthier future for children and women.

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