Health Machine Learning information
See Texas salary details
$23.8K - $29.1K
5% of jobs
$30.8K is the 25th percentile. Wages below this are outliers.
$29.1K - $34.3K
59% of jobs
$34.3K - $39.6K
9% of jobs
$40.1K is the 75th percentile. Wages above this are outliers.
$39.6K - $44.9K
17% of jobs
$44.9K - $50.2K
4% of jobs
$50.2K - $55.5K
2% of jobs
$55.5K - $60.8K
3% of jobs
$60.8K - $66.1K
0% of jobs
$66.1K - $71.4K
0% of jobs
$71.4K - $76.7K
0% of jobs
How much do health machine learning jobs pay per year?
As of Aug 19, 2026, the average yearly pay for health machine learning in Texas is $39,673.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,300.00 and $42,900.00 per year, depending on experience, location, and employer.
Health Machine Learning refers to the application of machine learning techniques and algorithms to healthcare data in order to improve medical decision-making, diagnostics, treatment plans, and patient outcomes. It involves using large amounts of health-related data, such as electronic health records, medical images, and genomic information, to train models that can predict diseases, assist in diagnosis, or personalize patient care. This field bridges computer science, data analytics, and medicine and is rapidly evolving to address complex healthcare challenges.
Health Machine Learning professionals often work closely with clinicians, data scientists, and IT staff to develop and deploy AI-driven healthcare solutions. Collaboration involves understanding clinical workflows, validating models with real-world patient data, and ensuring that AI tools are both accurate and user-friendly. Regular meetings, cross-disciplinary workshops, and pilot project rollouts are common to ensure that the developed solutions address practical needs while complying with healthcare regulations. This teamwork is crucial for successful integration and adoption of machine learning models in clinical environments.
To excel as a Health Machine Learning specialist, you need a strong background in computer science, statistics, and healthcare data, typically supported by degrees in relevant fields and proficiency in machine learning algorithms. Experience with programming languages like Python or R, frameworks such as TensorFlow or PyTorch, and knowledge of healthcare data standards (e.g., HL7, FHIR) are crucial, along with certifications like TensorFlow Developer or Data Science Professional. Strong problem-solving, attention to detail, and effective communication skills help you collaborate with clinicians and stakeholders to translate complex data into actionable insights. These skills ensure the development of accurate, ethical, and impactful machine learning solutions that improve healthcare outcomes.
What are popular job titles related to Health Machine Learning jobs in Texas?
For Health Machine Learning jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Health Machine Learning jobs in Texas look for?
The top searched job categories for Health Machine Learning jobs in Texas are:
