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Biomedical Machine Learning Jobs in Texas (NOW HIRING)

... and machine learning. • Strong background in signal processing theory and application (radar, communication, electronic warfare, sonar, audio, or biomedical) • Experience with current AI ...

... and machine learning. • Strong background in signal processing theory and application (radar, communication, electronic warfare, sonar, audio, or biomedical) • Experience with current AI ...

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Biomedical Machine Learning information

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How much do biomedical machine learning jobs pay per hour?

As of Jun 9, 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 job?

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 typical day look like for someone in a Biomedical Machine Learning role?

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 the Biomedical Machine Learning position, 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.

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 cities in Texas are hiring for Biomedical Machine Learning jobs? Cities in Texas with the most Biomedical Machine Learning job openings:
LEAD ENGINEER - SR. COMPUTER SCIENTIST - Kinesioception Lead

LEAD ENGINEER - SR. COMPUTER SCIENTIST - Kinesioception Lead

Southwest Research Institute - Fulltime

San Antonio, TX

$92K - $121K/yr

Full-time

Posted 5 days ago


Southwest Research Institute rating

8.8

Company rating: 8.8 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

6th of 57 rated research


Job description

Who We Are: The Kinesioception Section develops automated perception and decision-support solutions for commercial and government clients in multiple domains, including human performance, data science, artificial intelligence, computer vision, machine learning, decision intelligence, and cognitive performance. Objectives of this Role: Identify and pursue new research directions for current and emerging technologies in machine learning, data science and analytics, biomedical engineering, neuromorphic processing, and human performance optimization. Guide junior staff and customers in R&D concepts and practices and implementation of decision-support solutions.

Provide recommendations to management regarding technical direction. Capture new research projects with new and existing clients. Establish an industry presence by presenting our research and networking at conferences, workshops, and symposiums.

Daily and Monthly Responsibilities: Apply state-of-the art machine learning software solutions for various decision-support intelligent system applications. Interact with team members and customers to discuss technical solutions to problems. Manage the various aspects of a project (e.g., technical goals, team tasking, project budget, reporting).

Interact with clients (and potential clients) to discuss and propose technical solutions to unique problems. Requirements: Requires a Bachelors, Masters or a PhD in Computer Science, Biomedical Engineering, Electrical Engineering, or directly related degree field- 3 years experience with PhD, 4 years experience with Masters, 5 years experience with Bachelors. 3-5 years: Industry experience in software development, machine learning, biomedical, medical, or human performance optimization applications.

Experience with neural network development and associated tools and frameworks preferred. 1+ years: Business development experience; identifying and sourcing potential leads and customers; engaging with customers and identifying problem to be solved and developing statements of work; contract negotiation and closing the deal. Experience with leading project teams, budgets, schedules, risk management; excellent written, verbal, interpersonal skills.

A valid/clear driver's license is required.


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