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Healthcare Data Scientist Jobs in Spring, TX (NOW HIRING)

S. healthcare ecosystem, including payers, providers, and life sciences organizations. * Knowledge of healthcare data sources and how they integrate, including claims, EHR, pharmacy (Rx), laboratory ...

Principal AI Data Scientist Description - About the Position The HP Enterprise AI & Machine ... Health insurance Dental insurance Vision insurance Long term/short term disability insurance ...

On the Human Health and Performance Contract we are at the forefront of safeguarding astronaut ... We are seeking a Spaceflight Data Scientist with deep expertise in Bayesian inference, Bayesian ...

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Healthcare Data Scientist information

See Spring, TX salary details

$42.4K

$151.9K

$224.2K

How much do healthcare data scientist jobs pay per year?

As of Aug 22, 2026, the average yearly pay for healthcare data scientist in Spring, TX is $151,946.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,900.00 and $156,500.00 per year, depending on experience, location, and employer.

What is a healthcare data scientist?

A Healthcare Data Scientist is a professional who analyzes and interprets complex health-related data to improve patient outcomes, optimize healthcare operations, and support medical research. They use statistical methods, machine learning, and data visualization tools to extract insights from electronic health records, medical imaging, clinical trials, and other healthcare data sources. Their work helps hospitals, clinics, and research organizations make data-driven decisions to enhance care quality, reduce costs, and advance medical knowledge.

What does a healthcare data scientist do?

As a healthcare data scientist, your duties are to develop tools for collecting or extracting data maintained by hospitals, healthcare, providers, or federal and state agencies. You collect and analyze information, such as medical records, insurance claims, or billing information and then identify patterns or trends in the data and recommend ways to use that information to improve industry efficiency and performance. Healthcare data scientists develop forecasting and modeling programs designed to form analyses of medical records or other forms of healthcare information. Sometimes you use the models themselves while in other instances you develop these models so that healthcare workers can use them in their daily practices.

What are the key skills and qualifications needed to thrive as a healthcare data scientist, and why are they important?

To thrive as a Healthcare Data Scientist, you need expertise in statistics, data analysis, and a strong background in computer science or a related field, often supported by an advanced degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of healthcare data standards (such as HL7 or FHIR) are typically required. Strong problem-solving abilities, communication skills, and the ability to collaborate with cross-functional teams set top professionals apart. These skills enable effective analysis of complex healthcare data, leading to better patient outcomes and more efficient healthcare delivery.

What are some common challenges faced by healthcare data scientists when working with medical data?

Healthcare data scientists often encounter challenges such as dealing with incomplete or inconsistent patient records, ensuring data privacy and compliance with regulations like HIPAA, and integrating data from multiple sources such as electronic health records, imaging, and lab results. Additionally, translating complex data analyses into actionable insights for clinicians requires strong communication skills and domain knowledge. Collaborating closely with healthcare professionals and IT teams is essential to overcome these obstacles and deliver impactful results.

What is the difference between Healthcare Data Scientist vs Healthcare Data Analyst?

AspectHealthcare Data ScientistHealthcare Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; often advanced certificationsBachelor's or Master's in Health Informatics, Data Analysis, or related field
Work EnvironmentResearch settings, hospitals, healthcare tech companiesHospitals, clinics, insurance companies, healthcare providers
Employer & Industry UsageDevelops predictive models, advanced analytics, machine learningInterprets data, generates reports, supports decision-making

Healthcare Data Scientists focus on building predictive models and applying advanced analytics, often requiring specialized skills and certifications. Healthcare Data Analysts primarily interpret existing data, generate reports, and support operational decisions. Both roles are vital in healthcare but differ in complexity and scope.

What are popular job titles related to Healthcare Data Scientist jobs in Spring, TX?

For Healthcare Data Scientist jobs in Spring, TX, the most frequently searched job titles are:

What job categories do people searching Healthcare Data Scientist jobs in Spring, TX look for?

The top searched job categories for Healthcare Data Scientist jobs in Spring, TX are:

What cities near Spring, TX are hiring for Healthcare Data Scientist jobs?

Cities near Spring, TX with the most Healthcare Data Scientist job openings:

Infographic showing various Healthcare Data Scientist job openings in Spring, TX as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $151,946 per year, or $73.1 per hour.

Full-time

Re-posted 12 days ago


Memorial Hermann Health System rating

7.7

Company rating: 7.7 out of 10

Based on 289 frontline employees who took The Breakroom Quiz

160th of 891 rated healthcare providers


Job description

Job Summary:
Memorial Hermann Health System is dedicated to delivering high quality and efficient care while creating exceptional experiences for every community member, including its employees. The Lead Data Scientist will lead the analysis of complex data sets using advanced statistical methods, manage cross-functional teams, and provide in-depth data insights to solve complex business problems.
Responsibilities:
• Leads high priority projects that impact the organization.
• Leads complex issues and problems, and refers more complex issues to higher-level staff.
• Provides technical supervision/mentoring to other data scientists and trains the broader audience on data science developments.
• Provides leadership, coaching, and/or mentoring to subordinate group.
• Develops custom data models and algorithms to apply to data sets.
• Develops and applies algorithms or models to key business metrics with the goal of improving operations or answering business questions. Provides findings and analysis for use in decision making.
• Performs research, analysis, and modeling on organizational data.
• Maintains existing models and evaluates their goodness of fit.
• Provides in-depth data insights from structured and unstructured data for complex business problems through use of advanced analytics techniques, predictive modeling, data mining/visualization and pattern analysis tools.
• Develops and tests hypotheses and communicates findings in clear, precise and actionable manner to project and leadership teams.
• Works closely with teams to identify, understand, and resolve data issues and improve efficiency, productivity and scalability of data processes.
• Assists with the evaluation of data science vendors and tools.
• Ensures safe care to patients, staff and visitors; adheres to all Memorial Hermann policies, procedures, and standards within budgetary specifications including time management, supply management, productivity and quality of service.
• Promotes individual professional growth and development by meeting requirements for mandatory/continuing education and skills competency; supports department-based goals which contribute to the success of the organization; serves as preceptor, mentor and resource to less experienced staff.
• Demonstrates commitment to caring for every member of our community by creating compassionate and personalized experiences. Models Memorial Hermann’s service standards by providing safe, caring, personalized and efficient experiences to patients and colleagues.
• Other duties as assigned.
Qualifications:
Required:
• Bachelor’s Degree in science, engineering, computer science, mathematics, statistics, or related STEM field required.
• Seven (7) years of experience in data science is required.
• Business analytical skills (process flows, procedures, spreadsheets, modeling, etc.), technical expertise, mathematical skills and good understanding of design and architecture principles are required.
• Possesses deep understanding of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Proficient understanding of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
• Ability to communicate, gather requirements and execute storytelling with data.
• Possesses advanced level knowledge of the data science project life cycle.
• Proficient programming skills in addition to a working knowledge and experience of statistical analysis tools.
• Demonstrates proficiency in problem solving, analytical reasoning and decision-making skills.
• Demonstrates proficiency in identifying and seeking needed information to perform problem/situation analysis.
• Advanced level of understanding and experience in researching and resolving data issues with a logical, instinctive, and problem-solving mentality working with large, complex and incomplete sources.
• Exhibits strong project management skills, with an ability to work independently on multiple projects with competing priorities and a strong commitment to meeting goals and deadlines.
• Advanced understanding of SQL database management tools.
• Exceptional analytical skills and ability to understand and interpret results based on advanced statistical techniques.
• Strong written and verbal communication skills in IT and business environments; ability to communicate to technical and non-technical audiences.
• Ability to work under minimal supervision in a fast-paced multidisciplinary environment.
• Advanced knowledge of data science methods – time series forecasting, linear regression, A/B testing, statistical testing, Clustering, etc.
• Superior customer service in the form of first-rate work products and project management.
• Strong ability to manage challenging client situations.
• Strong ability to troubleshoot and recommend solutions.
• Strong ability to translate complex information for a wide range of stakeholders.
Preferred:
• Master’s Degree in Data Science preferred.
• Professional experience in hospital setting, medical informatics, healthcare information technology/finance/revenue cycle data management, or Electronic Health Record (EHR) data management is preferred.
Company:
Advancing Health. Personalizing Care. Founded in 1971, the company is headquartered in Houston, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Memorial Hermann Health System employees say

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About Memorial Hermann

Sourced by ZipRecruiter

The Memorial Hermann Southwest Hospital Women's Services is a magnet hospital as well as a level 3 designated facility with a blend of high-risk and community patients. This creates a fast-paced environment and a chance to work with a diverse population. Our Labor & Delivery unit has a low c-section rate and is extremely collaborative and close-knit. We have the ability to cross-train through all areas of Women's Services. We have a family-like atmosphere with an amazing amount of comradery, and our low turnover rates attest to this. Nurses here feel like they not only have autonomy but can also be advocates for their patients. MHSW not only prides ourselves on evidenced based practice, but nurses have a strong voice.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Houston, TX, US

Year founded

1907