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Healthcare Machine Learning Jobs in Houston, TX (NOW HIRING)

Buckner International

Cook Healthcare

Houston, TX

$13.25 - $18/hr

Work deals mostly with objects, equipment and/or machines where the job is at or within arm's reach. Depth perception and field of vision (peripheral) are of some importance. * Requires ability to ...

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Healthcare Machine Learning information

See Houston, TX salary details

$10.5K

$93.6K

$153.3K

How much do healthcare machine learning jobs pay per year?

As of Sep 4, 2026, the average yearly pay for healthcare machine learning in Houston, TX is $93,587.00, according to ZipRecruiter salary data. Most workers in this role earn between $21,000.00 and $152,800.00 per year, depending on experience, location, and employer.

What is a healthcare machine learning?

A Healthcare Machine Learning job involves developing and applying machine learning models to analyze medical data and improve healthcare outcomes. Professionals in this role work with electronic health records, medical imaging, genomics, and other healthcare data to assist in disease prediction, diagnosis, and personalized treatments. They collaborate with clinicians, data scientists, and engineers to ensure models are clinically relevant and ethically sound. Strong knowledge of machine learning, data preprocessing, and regulatory compliance (such as HIPAA) is essential.

What are the key skills and qualifications needed to thrive in healthcare machine learning?

To thrive in Healthcare Machine Learning, you need strong expertise in data science, machine learning algorithms, and biomedical informatics, often supported by an advanced degree in computer science, statistics, or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and healthcare data standards (like HL7 or FHIR) is highly beneficial, and certifications in data science or health informatics can provide an edge. Excellent problem-solving skills, attention to detail, and the ability to communicate complex technical concepts to diverse healthcare teams are valuable soft skills. These competencies are vital for developing robust, ethically sound machine learning solutions that improve clinical decision-making and patient outcomes.

What are some common challenges faced by professionals working in healthcare machine learning?

Professionals in Healthcare Machine Learning often encounter challenges such as navigating complex, unstructured, or incomplete healthcare data while ensuring strict compliance with privacy regulations like HIPAA. They must also bridge the gap between technical requirements and clinical needs, collaborating closely with medical professionals who may not have a technical background. Additionally, validating and interpreting machine learning models for real-world clinical use adds another layer of complexity, as solutions must be both accurate and explainable. Overcoming these challenges requires strong technical skills, effective teamwork, and a commitment to ethical, patient-centered solutions.

What does machine learning do in healthcare?

Healthcare machine learning involves developing algorithms that analyze medical data to assist in diagnosis, treatment planning, and predicting patient outcomes. Professionals in this field use tools like Python and TensorFlow, and often require knowledge of medical terminology and data privacy regulations to improve healthcare delivery.

What are popular job titles related to Healthcare Machine Learning jobs in Houston, TX?

For Healthcare Machine Learning jobs in Houston, TX, the most frequently searched job titles are:

What job categories do people searching Healthcare Machine Learning jobs in Houston, TX look for?

The top searched job categories for Healthcare Machine Learning jobs in Houston, TX are:

What cities near Houston, TX are hiring for Healthcare Machine Learning jobs?

Cities near Houston, TX with the most Healthcare Machine Learning job openings:

Healthcare Machine Learning jobs near you
Infographic showing various Healthcare Machine Learning job openings in Houston, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $93,587 per year, or $45 per hour.

Postdoctoral Associate - Clinical Bioinformatics

Baylor College of Medicine

Houston, TX • On-site

Full-time

Re-posted 19 days ago

Baylor College of Medicine rating

8.0

Company rating: 8.0 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

190th of 629 rated colleges and universities

Job description

Summary

The lab is seeking a postdoctoral researcher to collaborate on groundbreaking projects integrating patient-level data with artificial intelligence (AI) and machine learning (ML) methodologies. The position involves annotating clinical data, collaborating with AI/ML/NLP teams, developing algorithms, and generating insights to improve patient care. The Postdoctoral Associate will write manuscripts, present research findings locally and nationally, and contribute to advancing clinical informatics.

Baylor College of Medicine typically follows similar to the NIH stipulated stipend guidelines for Postdoctoral Associates.

Job Duties
  • Collaborates on the development of AI/ML/NLP-driven solutions for healthcare challenges.
  • Reads and interprets patient-level data to support the development of AI/ML/NLP algorithms for clinical applications.
  • Annotates medical notes and datasets to facilitate training and validation of predictive models.
  • Collaborates with data scientists, machine learning engineers, and clinical collaborators to design, implement, and validate innovative algorithms.
  • Conducts exploratory data analysis to extract meaningful insights from complex datasets.
  • Writes manuscripts and prepare presentations for local, national, and international conferences.
  • Conducts literature reviews and maintains awareness of advancements in bioinformatics, AI, and clinical data analysis.
  • Applies foundational knowledge of biostatistics and AI principles to inform study design and algorithm development.
  • Tests, debugs, and validates models in partnership with technical and clinical teams.
  • Ensures adherence to ethical guidelines for the use of patient data in research and development.
  • Works closely with the Artificial Intelligence in Health Lab (AIH-Lab) and the BD-STEP program to advance clinical informatics research.
  • Leverages clinical expertise to refine machine learning models, ensuring clinical relevance and accuracy.
  • Collaborates on the integration of clinical datasets into broader health informatics systems.
  • Provides expert annotations for training large language models (LLMs) and NLP algorithms, focusing on healthcare-specific use cases.
  • Presents findings in department meetings and seminars and support grant writing and funding initiatives.
  • Mentors trainees or junior team members in clinical informatics and research methods as needed.
  • Performs other job-related duties as assigned.
Minimum Qualifications
  • MD or Ph.D. in Basic Science, Health Science, or a related field.
  • No experience required.
Preferred Qualifications
  • MD passionate about clinical bioinformatics and driving innovation in healthcare. 
  • Able to write manuscripts, present research findings locally and nationally, and contribute to advancing clinical informatics.
  • Background in basics statics.
  • Background in basics AI.

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

NN; PD; SN

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