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Remote Medical Device Software Engineer Jobs in Sandy, UT

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 ...

Lead agile software processes for engineering teams and introduce best-in-class industry practices ... You have experience managing remote teams * The ability to thrive on a fast pace environment with ...

Ability to explain signal processing for biosignals, finite element analysis, drug delivery systems, and medical device design principles while preparing students for biomedical engineering ...

Senior Staff Agentic AI Engineer

Draper, UT · On-site +1

$99K - $134K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Job Summary The Senior Staff Software Engineer - Agentic AI will design and deliver core agent ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...

QA Engineer

Sandy, UT · On-site +1

Hybrid / Remote / Flexible Reports To: QA Manager Job Type: Full-Time The QA Engineer works closely ... Identify, document, and track software defects using a defect tracking system, and work with ...

The ideal candidate is a skilled software engineer with genuine curiosity about ML research, deep ... medical condition, genetic information, marital status, military or veteran status, or any other ...

Showing results 41-60

Remote Medical Device Software Engineer information

See Sandy, UT salary details

$60.3K

$140.2K

$195.3K

How much do remote medical device software engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for remote medical device software engineer in Sandy, UT is $140,186.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,000.00 and $164,400.00 per year, depending on experience, location, and employer.

What does a remote medical device software engineer do?

A Remote Medical Device Software Engineer designs, develops, tests, and maintains software used in medical devices while working from a remote location. They are responsible for ensuring the software complies with healthcare regulations and safety standards, such as FDA or ISO requirements. Their work often involves collaborating with cross-functional teams, troubleshooting issues, and updating software throughout the product lifecycle. This role requires expertise in both software engineering and medical device regulations.

What are the key skills and qualifications needed to thrive as a remote medical device software engineer, and why are they important?

To thrive as a Remote Medical Device Software Engineer, you need strong programming skills (especially in C/C++ or Python), a solid understanding of embedded systems, and a degree in computer science, biomedical engineering, or a related field. Familiarity with medical device standards (such as IEC 62304), version control systems like Git, and experience with software validation and regulatory documentation are typically required. Excellent problem-solving abilities, proactive communication, and strong collaboration skills are vital for working effectively in distributed teams. These skills ensure the development of safe, high-quality software that meets strict regulatory requirements and supports patient health.

What are some common challenges faced by remote medical device software engineers, and how can they be addressed?

Remote Medical Device Software Engineers often encounter challenges related to stringent regulatory compliance, secure communication, and effective collaboration with cross-functional teams such as QA, hardware engineers, and clinicians. Managing time zones and clear documentation is essential to ensure code quality and traceability, especially since these devices directly impact patient safety. To address these challenges, engineers should prioritize robust version control, frequent virtual check-ins, and proactive communication to align with team goals and regulatory requirements. Leveraging collaboration tools and maintaining detailed documentation can further streamline the development process and facilitate smooth teamwork.

What job categories do people searching Remote Medical Device Software Engineer jobs in Sandy, UT look for?

The top searched job categories for Remote Medical Device Software Engineer jobs in Sandy, UT are:

What cities near Sandy, UT are hiring for Remote Medical Device Software Engineer jobs?

Cities near Sandy, UT with the most Remote Medical Device Software Engineer job openings:

Bioinformatics Software Engineer

micro1 AI

West Jordan, UT • Remote

$80 - $110/hr

Part-time

Posted 16 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.