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Healthcare Data Science Jobs in Texas (NOW HIRING)

This group is designed to bring Artificial Intelligence (AI), and other emerging machine learning (ML) based innovations in data science into healthcare and will partner closely with individuals ...

Education Bachelor's degree in Computer Science, Data Analytics, Health Informatics, Statistics, Mathematics, Economics, Business Analytics, Healthcare Administration, or a related quantitative field ...

About the Role The Data Analyst plays a key role in monitoring, managing, and improving healthcare data file exchanges across clients, vendors, and internal systems. This role sits within a DataOps ...

The Opportunity As part of the Operations Consulting team, you will apply advanced data science and ... care and improve population health outcomes for our payer clients. As a Manager, you will lead ...

About the Role The Data Analyst plays a key role in monitoring, managing, and improving healthcare data file exchanges across clients, vendors, and internal systems. This role sits within a DataOps ...

Healthcare Data Coordinator

Dallas, TX · On-site

$23 - $24/hr

Job Title: Healthcare Data Coordinator Pay: $23.00 - $24.00/hr Position Type: Fully On-Site Office Address: 4851 Lyndon B. Johnson Fwy, Suite 1150, Dallas, TX 75244 Overview Altocare is seeking a ...

The Opportunity As part of the Operations Consulting team, you will apply advanced data science and ... care and improve population health outcomes for our payer clients. As a Manager, you will lead ...

The Opportunity As part of the Operations Consulting team, you will apply advanced data science and ... care and improve population health outcomes for our payer clients. As a Manager, you will lead ...

Join Evernorth Health Services' Enterprise Data Science team and help solve healthcare's most complex challenges. As a Data Science Advisor, you will apply advanced analytics, machine learning, and ...

Data Engineer I

Austin, TX · On-site

$113K - $136K/yr

... healthcare data solutions that support clinical, operational, research, and enterprise analytics initiatives. This role partners with data scientists, analysts, software engineers, and clinical ...

Built on IQVIA's industry-leading healthcare data assets and privacy-by-design principles, the team ... While this role is primarily focused on data science, you will also be responsible for hands-on ...

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Healthcare Data Science information

See Texas salary details

$42.9K

$153.7K

$226.9K

How much do healthcare data science jobs pay per year?

As of Aug 12, 2026, the average yearly pay for healthcare data science in Texas is $153,740.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,400.00 and $158,400.00 per year, depending on experience, location, and employer.

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

To thrive as a Healthcare Data Scientist, you need a strong background in statistics, data analysis, programming (Python or R), and an understanding of healthcare systems, often supported by a degree in data science, computer science, or a related field. Experience with tools like SQL, machine learning frameworks, and familiarity with electronic health record (EHR) systems are typically required. Strong problem-solving skills, attention to detail, and effective communication help translate complex data insights into actionable healthcare solutions. These skills are crucial for deriving meaningful insights from complex healthcare data, improving patient outcomes, and supporting evidence-based decision-making.

What is the difference between Healthcare Data Science vs Healthcare Data Analysis?

AspectHealthcare Data ScienceHealthcare Data Analysis
Required CredentialsTypically requires a degree in data science, statistics, or related fields; often includes programming skills and knowledge of machine learningUsually requires a background in healthcare, statistics, or data analysis; may include certifications in data analysis tools
Work EnvironmentInvolves developing models, algorithms, and predictive analytics; often in research or tech-focused settingsFocuses on interpreting data, generating reports, and supporting clinical or administrative decisions
Employer & Industry UsageUsed by healthcare tech companies, research institutions, and large healthcare providersCommon in hospitals, clinics, insurance companies, and healthcare consulting firms

Healthcare Data Science and Healthcare Data Analysis share overlapping skills but differ mainly in scope. Data scientists develop advanced models and predictive tools, while data analysts focus on interpreting data and generating insights. Both roles are vital in healthcare but serve different functions within the industry.

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

Healthcare data scientists often navigate challenges such as dealing with incomplete or inconsistent medical records, ensuring patient privacy and data security, and integrating data from diverse sources like electronic health records, lab results, and imaging systems. Additionally, they must collaborate closely with clinicians and IT staff to interpret complex datasets accurately and ensure that their analyses have practical clinical value. Maintaining compliance with healthcare regulations, such as HIPAA, is also a critical aspect of the role.

What can you do with a degree in healthcare data science?

A degree in healthcare data science prepares individuals to analyze medical data, develop predictive models, and improve patient outcomes. Graduates can work as data analysts, data scientists, or informaticists in hospitals, healthcare companies, or research institutions, often using tools like Python, R, and SQL. The role involves interpreting complex data to support clinical decisions and healthcare policies.

What is healthcare data science?

Healthcare data science is a field that uses data analysis, statistics, and machine learning to extract insights from health-related data. Professionals in this area work with large datasets from sources like electronic health records, clinical trials, and wearable devices. Their goal is to improve patient outcomes, optimize hospital operations, and support medical research by turning raw data into actionable information. This field requires knowledge of healthcare systems, data management, and advanced analytics techniques.

Can a healthcare data scientist work in healthcare?

Yes, healthcare data scientists work within healthcare organizations to analyze medical data, improve patient outcomes, and optimize operational efficiency. They often use tools like Python, R, and SQL, and require knowledge of healthcare systems, data privacy regulations, and statistical methods.
What are the most commonly searched types of Healthcare Data Science jobs in Texas? The most popular types of Healthcare Data Science jobs in Texas are:
What are popular job titles related to Healthcare Data Science jobs in Texas? For Healthcare Data Science jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Healthcare Data Science jobs in Texas look for? The top searched job categories for Healthcare Data Science jobs in Texas are:
What cities in Texas are hiring for Healthcare Data Science jobs? Cities in Texas with the most Healthcare Data Science job openings:
Infographic showing various Healthcare Data Science job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $153,740 per year, or $73.9 per hour.

$79.21 - $104.97/hr

Full-time

Re-posted 25 days ago


Job description

If you're ready to be part of our legacy of hope and innovation, we encourage you to take the first step and explore our current job openings. Your best is waiting to be discovered.

Day - 08 Hour (United States of America)

This is a Stanford Health Care job.

The Data Scientist will be part of a team building Stanford Health Care's (SHC) solutions incorporating Artificial Intelligence including providing health care solutions in the areas of patient care, medical research and administrative services. This group is designed to bring Artificial Intelligence (AI), and other emerging machine learning (ML) based innovations in data science into healthcare and will partner closely with individuals across clinical specialties and operations areas to deploy algorithms that can lead to better patient outcomes.
Reporting to the Data Science Director and working closely with Stanford Medicine's inaugural Chief Data Scientist, this role is responsible for developing AI solutions - from predictive algorithms to agentic systems - into healthcare in a safe, ethical and cost-effective manner.
A Brief Overview
The Data Scientist will be part of a team building Stanford Health Care's (SHC) solutions incorporating Artificial Intelligence including providing health care solutions in the areas of patient care, medical research and administrative services. This group is designed to bring Artificial Intelligence (AI), predictive algorithms and other emerging machine learning (ML) based innovations in data science into healthcare and will partner closely with individuals across clinical specialties and operations areas to deploy algorithms that can lead to better patient outcomes.
Reporting to the Data Science Director and working closely with Stanford Medicine's inaugural Chief Data Scientist, this role is responsible for developing predictive algorithms and other machine learning (ML) based innovations in data science into healthcare in a safe, ethical and cost-effective manner. The individual will design, implement and support ML models for use in the clinic.
Locations
Stanford Health Care
What you will do

  • Build, deploy and maintain AI and ML enabled care workflows. This includes working with others at SHC to design and develop solutions to the problems undertaken by the Data Science group.
  • Evaluate tools, platforms and strategies used by the Data Science group to manage the lifecycle of building models from healthcare data.
  • Train, develop, and validate researcher-built or vendor provided machine learning algorithms on hospital data with strong quality control checks and bias assessments.


Education Qualifications

  • PhD/MS degree in statistics, informatics or related field


Experience Qualifications

  • PhD: Experience preferred
  • MS Degree: 4+ years of related experience with applied problems


Required Knowledge, Skills and Abilities

  • Ability to write code in SQL, R, or Python for processing large datasets in distributed cloud environments, and experience in processing and analyzing healthcare data.
  • Experience developing, evaluating, and implementing machine learning models.
  • Experience working with clinicians and researchers across disciplines to develop approaches for use in clinical care.
  • Experience working in cloud environments or working in a healthcare organization.
  • Graduate level understanding of techniques in machine learning, knowledge representation, and artificial intelligence along with a strong understanding of statistics.
  • Knowledge of software development, machine learning, and technology infrastructure
  • Excellent verbal and written communication skills, strong interpersonal skills, along with demonstrated creativity and latitude in problem solving, including the ability to prioritize and execute multiple competing tasks.


Physical Demands and Work Conditions
Blood Borne Pathogens

  • Category II - Tasks that involve NO exposure to blood, body fluids or tissues, but employment may require performing unplanned Category I tasks


These principles apply to ALL employees:
SHC Commitment to Providing an Exceptional Patient & Family Experience
Stanford Health Care sets a high standard for delivering value and an exceptional experience for our patients and families. Candidates for employment and existing employees must adopt and execute C-I-CARE standards for all of patients, families and towards each other. C-I-CARE is the foundation of Stanford's patient-experience and represents a framework for patient-centered interactions. Simply put, we do what it takes to enable and empower patients and families to focus on health, healing and recovery.
You will do this by executing against our three experience pillars, from the patient and family's perspective:

  • Know Me: Anticipate my needs and status to deliver effective care
  • Show Me the Way: Guide and prompt my actions to arrive at better outcomes and better health
  • Coordinate for Me: Own the complexity of my care through coordination

Equal Opportunity Employer Stanford Health Care (SHC) strongly values diversity and is committed to equal opportunity and non-discrimination inall ofits policies and practices, including the area of employment. Accordingly, SHC does not discriminate against any person on the basis of race, color, sex, sexual orientation or gender identity and/or expression, religion, age, national or ethnic origin, political beliefs, marital status, medical condition, genetic information, veteran status, or disability, or the perception of any of the above. People of all genders, members of all racial and ethnic groups, people with disabilities, and veterans are encouraged to apply. Qualified applicants with criminal convictions will be considered after an individualized assessment of the conviction and the job requirements.

Base Pay Scale: Generally starting at $79.21 - $104.97 per hour

The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to, internal equity, experience, education, specialty and training. This pay scale is not a promise of a particular wage.