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Remote Biomedical Machine Learning Jobs in Saint Louis, MO

This role is primarily remote, with mandatory, periodic on-site requirements at either Scott AFB ... apply predictive machine learning and generative AI to detect emerging problems and advance ...

Data Engineer - Multiple Positions

Chesterfield, MO · Remote

$113K - $136K/yr

United States - Remote Employment Type: Full-Time and Contract Data Engineer Description: As a Data ... Proficient in using advanced analytics and machine learning frameworks, including Apache Spark ...

Imagery Scientist (EO)- Expert

Saint Louis, MO · On-site +1

$180K - $210K/yr

Remote sensing phenomenology * Image formation processes * Exploitation products and methodologies ... Experience applying CV and machine learning (ML) techniques to EO imagery and data to address ...

Data Engineer

O Fallon, IL · On-site +1

$61K - $141K/yr

Remote Work: No Job Number: R0245880 Location: O'Fallon,IL,US Share job via: Share Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence ...

Insurance Agent

Saint Louis, MO · On-site +1

$30K - $160K/yr

... a machine? If you answered YES to any of those questions, please keep reading. How about TODAY ... Remote work and in-person training opportunities available * Potential to earn a raise every 2 ...

Showing results 21-37

Remote Biomedical Machine Learning information

See Saint Louis, MO salary details

$14

$27

$37

How much do remote biomedical machine learning jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for remote biomedical machine learning in Saint Louis, MO is $27.73, according to ZipRecruiter salary data. Most workers in this role earn between $23.61 and $31.30 per hour, depending on experience, location, and employer.

What is a remote biomedical machine learning job?

Remote biomedical machine learning jobs involve applying machine learning and artificial intelligence techniques to biomedical data, such as medical images, genetic information, or clinical records, while working from a remote location. Professionals in these roles develop algorithms to assist in disease diagnosis, drug discovery, or patient outcome prediction. These jobs typically require strong programming skills, experience with data science tools, and a background in biomedical sciences or related fields. Remote positions offer flexibility and the ability to collaborate with interdisciplinary teams from anywhere in the world.

What are some unique challenges faced when working remotely as a biomedical machine learning professional, and how can they be addressed?

Remote Biomedical Machine Learning professionals often face challenges related to accessing large and sensitive datasets, ensuring compliance with data privacy regulations, and maintaining effective communication with interdisciplinary teams such as clinicians and researchers. To address these, it's important to become familiar with secure data transfer protocols, collaborate closely with IT and compliance officers, and utilize robust project management and communication tools. Regular virtual meetings and clear documentation can help bridge gaps and ensure alignment on project goals.

What are the key skills and qualifications needed to thrive as a remote biomedical machine learning specialist, and why are they important?

Thriving in Remote Biomedical Machine Learning requires expertise in machine learning, data analysis, and a strong background in biomedical sciences, often supported by an advanced degree in a related field. Proficiency with programming languages such as Python or R, experience with frameworks like TensorFlow or PyTorch, and familiarity with medical data systems are typically necessary. Excellent problem-solving skills, communication abilities, and self-motivation are standout soft skills for remote collaboration and research. These competencies are vital to effectively develop innovative biomedical solutions, ensure data integrity, and drive impactful research in a distributed work environment.

What is the difference between Remote Biomedical Machine Learning vs Remote Biomedical Data Analyst?

AspectRemote Biomedical Machine LearningRemote Biomedical Data Analyst
Required CredentialsMaster's or PhD in Bioinformatics, Data Science, or related fields; experience with ML frameworksBachelor's or Master's in Biology, Data Analysis, or related; proficiency in data visualization and statistical tools
Work EnvironmentCollaborative remote teams, research labs, tech companiesRemote healthcare organizations, research institutions, biotech firms
Employer & Industry UsageTech companies, biotech startups, research institutionsHospitals, healthcare providers, pharmaceutical companies

Remote Biomedical Machine Learning specialists focus on developing algorithms and models to analyze biomedical data, often requiring advanced degrees and programming skills. In contrast, Remote Biomedical Data Analysts interpret and visualize biomedical datasets, typically with a focus on statistical analysis. Both roles are vital in healthcare and biotech industries but differ in technical depth and responsibilities.

What are popular job titles related to Remote Biomedical Machine Learning jobs in Saint Louis, MO?

For Remote Biomedical Machine Learning jobs in Saint Louis, MO, the most frequently searched job titles are:

What job categories do people searching Remote Biomedical Machine Learning jobs in Saint Louis, MO look for?

The top searched job categories for Remote Biomedical Machine Learning jobs in Saint Louis, MO are:

Software Engineering & AI Intern

Leidos

Shiloh, IL • Remote

Full-time

Posted 8 days ago


Leidos rating

8.3

Company rating: 8.3 out of 10

Based on 153 frontline employees who took The Breakroom Quiz

80th of 500 rated business services


Job description

Leidos, a leading defense, intelligence, and technology company, is seeking motivated and aspiring software engineering students for ourSummer 2027 Internship Program (Starts May 2027). As aSoftware Engineering & AI Intern, you will join ourDigital Sectoron the Global Solutions Management - Operations II (GSM-O II) contract. This contract includes the Operations, Sustainment, Maintenance, Repair, and Defense of the Defense Information System Network (DISN) in support of the Defense Information Systems Agency (DISA). This role is primarily remote, with mandatory, periodic on-site requirements at either Scott AFB, IL or Ft. Meade, MD.

Your Opportunity:

We are looking for highly motivated, driven, and capable candidates to join our GSM-O Global Automation and Intelligent Network Solutions (GAINS) Team! This summer, you will do more than observe-you will help build intelligent systems that operate at mission-critical scale. You will work with high-volume data, engineer real-time pipelines using technologies such as Kafka and Elastic, and apply predictive machine learning and generative AI to detect emerging problems and advance towardclosed-loop, self-healing networks. You will gain hands-on experience with AWS, Databricks, Watson AIOps and cybersecurity automation, building the technical experience and portfolio-ready accomplishments that can accelerate your career.

What You'll Do (Potential Projects & Learning Opportunities):

  • Design, develop, document, test, and deploy software written in Python, JavaScript, Java, and SQL.
  • Create Kibana visualizations and dashboards to provide information to users and support staff.
  • Develop Kafka system integrations between Elasticsearch/Logstash and other systems, such as Databricks.
  • Develop and apply AI/ML and automation capabilities.
  • Assist with the deployment, configuration, testing, troubleshooting, maintenance, updates/upgrades of Kafka and Elastic clusters and environments.
  • Develop automated tests using Ansible, Selenium, JMeter, Junit and/or other applicable tools.
  • Develop automated CI/CD build/deployment pipelines using Jenkins, Artifactory, Kubernetes, Docker,Ansible, and Bitbucket.
  • Work with an Agile team, attend daily scrums, and demonstrate working software while collaborating with a geographically distributed (remote) team.
  • Troubleshoot and resolve installation, infrastructure, and system issues.
  • Proactively and independently identify, report, monitor, and mitigate technical risks.
  • Frequently communicate and collaborate with other team members to ensure successful completion of project objectives.

What You'll Bring (Required):

  • Citizenship & Clearance:Must be a U.S. citizen.Ability to obtain an interim Secret DoD Security clearance prior to your start date is required(selected candidates will be sponsored for the required clearance).
  • Education:Currently pursuing a degree in a relevant discipline such as Computer Science, Software Engineering, or Data Science.
  • Technical Foundation:Software development experience with Python, Java, and SQL, and a working knowledge of HTML and JavaScript.
  • Version Control:Experience with distributed version control software such as Git and Bitbucket.
  • Platform Knowledge:Experience developing software on a UNIX command line platform.
  • Teamwork:Strong communication skills that enable proactive and effective collaboration with a virtual team.
  • Location:This position is primarily remote, butregular, on-site support at Scott AFB, IL or Ft. Meade, MD is mandatory for periodic project milestones.Candidates must have reliable transportation and the capability to report on-site to their designated facility within a reasonable timeframe when requested by management.

What We Want (Desired):

  • Certifications:Obtaining aCompTIA Security+certification (or equivalent DoD 8570 IAT II certification) before the start date isstrongly encouraged.
  • Hands-On Experience:Full software lifecycle experience (design, development, test, deployment), especially in a containerized environment (Kubernetes/Docker).
  • Familiarity with:
    • Web development using UI frameworks like React.
    • Designing and building DevOps pipelines with tools like Bitbucket, Jenkins, and Ansible.
    • Developing software in a cloud environment (AWS is a plus).
    • Atlassian tools, including JIRA and Confluence.
    • Artificial Intelligence (AI) tools and concepts (large language models, predictive analytics) to support the development of self-healing and auto-ticketing capabilities.

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.

Original Posting:August 26, 2026

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:Pay Range $48,100.00 - $86,950.00

The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.


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About Leidos

Sourced by ZipRecruiter

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Reston, VA, US

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