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Biomedical Machine Learning Jobs in Texas (NOW HIRING)

MD Anderson

Postdoctoral Fellow - Biostatistics

Houston, TX

$64K - $76K/yr

  • Medical

  • Dental

  • Retirement

  • PTO

Research areas of interest include but are not limited to; development of statistical methods for integrating multiple data sources; machine learning approaches for complex biomedical data; and ...

MD Anderson

Postdoctoral Fellow - Biostatistics

Houston, TX

$64K - $76K/yr

  • Medical

  • Dental

  • Retirement

  • PTO

Research areas of interest include but are not limited to; development of statistical methods for integrating multiple data sources; machine learning approaches for complex biomedical data; and ...

MD Anderson

Postdoctoral Fellow - Biostatistics

Houston, TX

$64K - $76K/yr

  • Medical

  • Dental

  • Retirement

  • PTO

Research areas of interest include but are not limited to; development of statistical methods for integrating multiple data sources; machine learning approaches for complex biomedical data; and ...

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Biomedical Machine Learning information

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How much do biomedical machine learning jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for biomedical machine learning in Texas is $26.58, according to ZipRecruiter salary data. Most workers in this role earn between $22.60 and $30.00 per hour, depending on experience, location, and employer.

What is a biomedical machine learning?

A Biomedical Machine Learning job involves developing and applying machine learning algorithms to analyze biomedical data for healthcare and research applications. Professionals in this field work with medical imaging, genomics, electronic health records, and wearable device data to improve disease diagnosis, treatment, and patient outcomes. They collaborate with researchers, clinicians, and data scientists to design predictive models and extract insights from complex biological data. This role requires expertise in machine learning, data processing, and domain-specific knowledge in healthcare or life sciences.

What does a biomedical machine learning do?

A typical day in Biomedical Machine Learning involves cleaning and preparing biomedical datasets, developing or refining machine learning models, running experiments, and interpreting results in collaboration with domain experts such as bioinformaticians and clinicians. Professionals often participate in team meetings to discuss project goals, share insights, and adjust research directions based on feedback. The role may also involve reading scientific literature to stay current with new methodologies and contributing to academic publications or technical documentation. Working closely with both technical and healthcare-focused colleagues, you'll help translate data-driven insights into meaningful biomedical solutions that impact patient care or research outcomes.

What are the key skills and qualifications needed to thrive in biomedical machine learning, and why are they important?

To thrive in Biomedical Machine Learning, you need a solid background in statistics, machine learning, programming (Python or R), and a strong understanding of biological or medical data, often supported by advanced degrees in computer science, biomedical engineering, or related fields. Experience with frameworks like TensorFlow, PyTorch, and familiarity with biomedical datasets is highly valued, and certifications in data science or biomedical informatics can be advantageous. Strong analytical thinking, communication skills, and the ability to collaborate with interdisciplinary teams are crucial soft skills. These competencies are vital to developing robust models that address complex healthcare challenges while ensuring scientific rigor and regulatory compliance.

How to become a biomedical machine learning specialist?

To become a biomedical machine learning specialist, individuals typically need a strong background in computer science, machine learning, and biology, often obtained through a bachelor's or master's degree in related fields. Gaining experience with programming languages like Python or R, and tools such as TensorFlow or PyTorch, is essential, along with understanding biomedical data and clinical applications. Advanced roles may require a Ph.D. or specialized certifications in machine learning or biomedical informatics.

What are the most commonly searched types of Biomedical Machine Learning jobs in Texas?

The most popular types of Biomedical Machine Learning jobs in Texas are:

What are popular job titles related to Biomedical Machine Learning jobs in Texas?

For Biomedical Machine Learning jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Biomedical Machine Learning jobs in Texas look for?

The top searched job categories for Biomedical Machine Learning jobs in Texas are:

What cities in Texas are hiring for Biomedical Machine Learning jobs?

Cities in Texas with the most Biomedical Machine Learning job openings:

Biomedical Machine Learning jobs near you
Infographic showing various Biomedical Machine Learning job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $55,278 per year, or $26.6 per hour.

Intern/Aide - Part-time

Baylor College of Medicine

Houston, TX

$14.25 - $19/hr

Part-time, Internship

Re-posted 6 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

188th of 618 rated colleges and universities

Job description

Summary

The intern/aide will receive training on machine learning algorithms, implementing them, and fitting them on the datasets in the cluster computers. Overall, the position will offer great exposure to genomic data science and advanced machine learning. The PI will identify the specific datasets and machine learning algorithms. The intern will implement the algorithms in Python/R and fit them on the datasets in the cluster computers. This is part-time position, 16 hours/week. 

Job Duties
  • Learns to formulate machine learning problems.
  • Learns to implement machine learning algorithms using Python/R.
  • Learns to fit machine learning models on biological data.
  • Identifies the specific datasets and machine learning algorithms.
  • Implements the algorithms in Python/R and fit them on the datasets in our cluster computers.
  • Performs other job-related duties as assigned.
Minimum Qualifications
  • Must be enrolled in high school, trade/vocational school or higher education institution. 
Preferred Qualifications
  • Undergraduate or graduate students enrolled in program for computer science or statistics or computational biolgy or biomedical sciences. 
  • Strong skills in computer science and programming (algorithm implementation, data structure, and machine learning).
  • Familiarity with cutting-edge models such as foundation models, large language models, diffusion models, is a plus.

What Baylor College of Medicine employees say

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