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Remote Biomedical Engineer Manager Jobs in Arizona

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Hiring Manager review. Compensation Compensation is output-based , with payment provided per task ...

Manufacturing Engineer - Remote

Phoenix, AZ ยท Remote

$65K - $70K/yr

Manage and Report on Project Schedules, Budget, and Priority * Coordinate with project stakeholders ... Knowledge of Engineering Mechanics & Strength of Materials * Strong analytical and problem-solving ...

Manufacturing Engineer - Remote

Phoenix, AZ ยท On-site +1

$65K - $70K/yr

Manage and Report on Project Schedules, Budget, and Priority * Coordinate with project stakeholders ... Knowledge of Engineering Mechanics & Strength of Materials * Strong analytical and problem-solving ...

Manufacturing Engineer - Remote

Phoenix, AZ ยท Remote

$65K - $70K/yr

Manage and Report on Project Schedules, Budget, and Priority * Coordinate with project stakeholders ... Knowledge of Engineering Mechanics & Strength of Materials * Strong analytical and problem-solving ...

As a Remote Geotechnical Engineer, you will perform geotechnical engineering design, project proposal and management duties with integrity and a drive to succeed. You will also process design ...

Agentic Software Engineer II

Scottsdale, AZ ยท Remote

$119K - $188K/yr

Agentic Software Engineer II (Remote) arrivia Remote (US) Full-time About arrivia arrivia ... The hiring manager reviews every completed submission, and strongest candidates go straight to an ...

Backend Developer - Remote

Phoenix, AZ ยท Remote

$80 - $120/hr

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are ... Hiring Manager review. Compensation Compensation is output-based , with payment provided per task ...

Frontend Developer - Remote

Phoenix, AZ ยท Remote

$80 - $120/hr

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are ... Hiring Manager review. Compensation Compensation is output-based , with payment provided per task ...

Showing results 21-40

Remote Biomedical Engineer Manager information

What does a remote biomedical engineer manager do?

A Remote Biomedical Engineer Manager oversees teams of biomedical engineers who design, develop, and maintain medical devices or healthcare technologies, all while working remotely. Their responsibilities include managing projects, ensuring regulatory compliance, coordinating with cross-functional teams, and mentoring engineering staff. They also play a key role in troubleshooting issues, implementing new systems, and liaising with medical professionals to ensure products meet clinical needs. Effective communication and leadership skills are essential, as they manage teams and projects virtually.

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

A Remote Biomedical Engineer Manager typically needs a solid background in biomedical engineering, project management experience, and at least a bachelor's or master's degree in a related field. Familiarity with engineering design software, medical device regulations, and project management tools like MS Project or Asana is essential, along with certifications such as PMP or Six Sigma being advantageous. Strong leadership, communication, and problem-solving skills are critical for effectively leading remote teams and collaborating across departments. These skills ensure successful project delivery, regulatory compliance, and cohesive team performance in a distributed work environment.

How does a remote biomedical engineer manager effectively lead and support a distributed engineering team?

As a Remote Biomedical Engineer Manager, you'll leverage digital collaboration tools to lead your team, facilitate regular virtual meetings, and ensure open communication across different time zones. Building trust and maintaining engagement are key, so you'll need to provide clear expectations, constructive feedback, and support for professional development. You'll also coordinate closely with cross-functional teams such as regulatory affairs, clinical staff, and product development, ensuring that projects stay on track and meet compliance standards. While remote work offers flexibility, it requires proactive management to address challenges like isolation and ensure alignment with organizational goals.

What is the difference between Remote Biomedical Engineer Manager vs Remote Biomedical Engineer?

AspectRemote Biomedical Engineer ManagerRemote Biomedical Engineer
Required CredentialsBachelor's or Master's in Biomedical Engineering, leadership experienceBachelor's or Master's in Biomedical Engineering, technical skills
Work EnvironmentTeam leadership, project management, strategic planningDesign, testing, troubleshooting medical devices
Employer & Industry UsageHospitals, medical device companies, biotech firmsMedical device manufacturers, healthcare tech companies
Common Search & ComparisonYesYes

The main difference between a Remote Biomedical Engineer Manager and a Remote Biomedical Engineer lies in their roles. The manager oversees teams, manages projects, and handles strategic planning, requiring leadership skills. The engineer focuses on technical tasks like designing and testing medical devices. Both roles require similar educational backgrounds but differ in responsibilities and work focus.

What are the most commonly searched types of Remote Biomedical Engineer jobs in Arizona?

The most popular types of Remote Biomedical Engineer jobs in Arizona are:

What cities in Arizona are hiring for Remote Biomedical Engineer Manager jobs?

Cities in Arizona with the most Remote Biomedical Engineer Manager job openings:

AI Agent Evaluation Engineer - Remote

YO AI Labs

Phoenix, AZ โ€ข Remote

$80 - $120/hr

Full-time

Posted 10 days ago


Job description

Senior Software Engineer

Job Type: Contractor (~15 hours/week)
Location: Remote

Job Summary

We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools.

You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required.

Key Responsibilities
  • Create reinforcement learning environments for software engineering tasks.
  • Design tasks involving bug fixing, feature development, refactoring, and performance optimization.
  • Build deterministic verification systems and golden reference solutions.
  • Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively.
  • Develop realistic, reproducible software engineering scenarios.
  • Ensure tasks accurately measure coding ability, problem-solving, and tool usage.
  • Document solutions and provide clear technical feedback.
Required Skills
  • Strong proficiency in Python 3, Java, Rust, C++, or TypeScript.
  • Strong understanding of algorithms and data structures.
  • Experience with bug fixing and debugging complex software issues.
  • Proven experience in feature implementation and codebase refactoring.
  • Strong knowledge of performance optimization and tuning.
  • Excellent written and verbal communication.
  • Strong attention to detail.
Preferred Qualifications
  • Experience working with large-scale or distributed codebases.
  • Familiarity with AI/ML systems is a plus but not required.
  • Experience with rigorous code reviews and software engineering best practices.
  • Experience working effectively in remote or cross-functional teams.
Hiring Process
  1. Submit an application and screening questions.
  2. Complete an AI interview (~30 minutes).
  3. Complete a technical assessment, if required.
  4. Hiring Manager review.
Compensation

Compensation is output-based, with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply.

Availability

Selected experts should be prepared to begin their first tasks within 24–48 hours of completing onboarding.