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Remote Biomedical Engineering Jobs in Midland, TX

micro1 AI

Bioinformatics Software Engineer

Midland, TX · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer's computational drug discovery project. In this role, you'll apply your expertise ...

micro1 AI

Bioinformatics Software Engineer

Odessa, TX · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer's computational drug discovery project. In this role, you'll apply your expertise ...

All JobsBiomedical Engineering JobsRemote Biomedical Engineering JobsRemote Biomedical Engineering Jobs in Midland, TX

Remote Biomedical Engineering information

See Midland, TX salary details

$40.3K

$93.1K

$137.4K

How much do remote biomedical engineering jobs pay per year?

As of Aug 14, 2026, the average yearly pay for remote biomedical engineering in Midland, TX is $93,080.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,100.00 and $113,900.00 per year, depending on experience, location, and employer.

What is the difference between Remote Biomedical Engineering vs Remote Clinical Engineering?

AspectRemote Biomedical EngineeringRemote Clinical Engineering
CredentialsBiomedical Engineering degree, certifications like CBETBiomedical Engineering or Clinical Engineering degree, certifications like CBET
Work EnvironmentDesign, research, and development remotely; some on-site for testingEquipment maintenance, troubleshooting, often remote support with some on-site visits
Employer & IndustryMedical device companies, research institutionsHospitals, healthcare facilities, medical equipment vendors
Search & Comparison IntentUnderstanding roles in medical device design and R&DSupporting and maintaining medical equipment remotely

Remote Biomedical Engineering focuses on designing and developing medical devices, often working remotely in research or development roles. In contrast, Remote Clinical Engineering involves supporting, maintaining, and troubleshooting medical equipment, typically with some on-site presence. Both roles require biomedical engineering credentials but differ in daily tasks and work environments.

What is remote biomedical engineering?

Remote biomedical engineering refers to the practice of designing, developing, and maintaining medical devices, software, and technologies from a location outside of a traditional healthcare or research facility. Professionals in this role often collaborate virtually with teams, use digital tools for diagnostics and analysis, and may provide remote support for medical equipment. This setup allows for greater flexibility and access to a wider range of expertise while still ensuring patient safety and device effectiveness.

Is there a high demand for remote biomedical engineers?

Remote biomedical engineering is experiencing increasing demand due to advancements in telehealth, medical device development, and digital health technologies. Employers seek professionals with skills in software, electronics, and regulatory compliance, making remote work opportunities more available in this field.

What are some unique challenges of working as a remote biomedical engineer, and how can they be managed?

Remote biomedical engineers often face challenges such as limited hands-on access to medical devices and equipment, which can make troubleshooting and testing more complex. To manage these challenges, many professionals rely on virtual collaboration tools, remote monitoring software, and detailed documentation to communicate with on-site teams. Regular video conferences and clear communication protocols help ensure that remote engineers remain aligned with project goals and timelines. Building strong relationships with local staff and staying proactive in seeking updates can also help overcome the distance barrier.

What are the key skills and qualifications needed to thrive as a remote biomedical engineer?

To thrive as a Remote Biomedical Engineer, a solid background in biomedical engineering principles, mathematics, and physiology, often supported by a relevant degree, is essential. Familiarity with technical tools such as CAD software, medical device regulations, telecommunication platforms, and possibly certifications like CBET are typically required. Strong problem-solving skills, effective communication, and self-motivation are crucial soft skills for collaborating virtually and managing projects independently. These abilities ensure the successful design, implementation, and support of medical devices and solutions while maintaining regulatory compliance and effective teamwork in a remote setting.

Can you work remotely as a biomedical engineer?

Remote biomedical engineering jobs are available, especially in roles involving software development, data analysis, or remote diagnostics. However, many positions require on-site work for equipment installation, maintenance, or clinical collaboration. The availability of remote work depends on the specific employer and job responsibilities.

What are popular job titles related to Remote Biomedical Engineering jobs in Midland, TX?

For Remote Biomedical Engineering jobs in Midland, TX, the most frequently searched job titles are:

What job categories do people searching Remote Biomedical Engineering jobs in Midland, TX look for?

The top searched job categories for Remote Biomedical Engineering jobs in Midland, TX are:

What cities near Midland, TX are hiring for Remote Biomedical Engineering jobs?

Cities near Midland, TX with the most Remote Biomedical Engineering job openings:

Remote Biomedical Engineering jobs near you
Infographic showing various Remote Biomedical Engineering job openings in Midland, TX as of July 2026, with employment types broken down into 88% Full Time, 8% Part Time, 3% Contract, and 1% Nights. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $93,080 per year, or $44.8 per hour.

Bioinformatics Software Engineer

micro1 AI

Midland, TX • Remote

$80 - $110/hr

Part-time

Posted 11 days ago

Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.

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