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Biomedical Analyst Jobs in Minnesota (NOW HIRING)

University of Minnesota

Casual Nonexempt

Minneapolis, MN · On-site

$15.25 - $60/hr

The Department of Biomedical Engineering at the University of Minnesota occasionally needs to hire ... analyze data (50%) Qualifications Required Qualifications: High school or one year relevant ...

University of Minnesota

Temporary Nonexempt

Minneapolis, MN · On-site

$15.25 - $60/hr

About the Job The Department of Biomedical Engineering at the University of Minnesota occasionally ... Gather and analyze data (50%) This does not constitute a posting for vacancies, but establishes a ...

Actalent

Field Service Technician

Minneapolis, MN

Troubleshoot failed tests by analyzing potential causes, identifying issues, and determining ... Communicate clearly and confidently with a range of stakeholders, including pharmacists, biomedical ...

Xylem

Training Specialist

Plymouth, MN

A Highschool Diploma (or equivalent) and/or an associate or bachelor's degree in biomedical ... advanced analytics for water, electric, and gas utilities. Partner with us in creating a world ...

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All JobsBiomedical Analyst JobsBiomedical Analyst Jobs in Minnesota

Biomedical Analyst information

See Minnesota salary details

$17

$31

$47

How much do biomedical analyst jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for biomedical analyst in Minnesota is $31.87, according to ZipRecruiter salary data. Most workers in this role earn between $25.19 and $36.97 per hour, depending on experience, location, and employer.

What is a biomedical analyst?

Biomedical analysts are professionals who work primarily in laboratories, where they analyze biological samples such as blood, tissues, and fluids to assist in the diagnosis, monitoring, and treatment of diseases. They use a range of scientific techniques and specialized equipment to conduct tests and ensure the accuracy and reliability of results. Biomedical analysts play a crucial role in healthcare teams, supporting doctors and other medical professionals with vital information for patient care.

How much do biomedical analysts make in the US?

Biomedical analysts in the US typically earn a median annual salary of around $50,000 to $70,000, depending on experience, education, and location. Entry-level positions may start lower, while experienced analysts with specialized skills or certifications can earn higher salaries. The role often involves working in laboratory or clinical settings, utilizing tools like laboratory information systems and adhering to regulatory standards.

Which biomedical analyst job pays the most?

Senior biomedical analysts or specialists with advanced certifications and extensive experience tend to earn the highest salaries in the field. Positions in research institutions, pharmaceutical companies, or healthcare organizations often offer higher pay, especially for those with expertise in data analysis, laboratory techniques, and regulatory compliance.

What are some common challenges biomedical analysts face when working with interdisciplinary teams?

Biomedical Analysts frequently collaborate with professionals from diverse backgrounds, such as clinicians, laboratory technologists, and data scientists. One common challenge is translating complex biomedical data into actionable insights that are understandable across disciplines. Effective communication and adaptability are essential to ensure that everyone is aligned on project goals and data interpretations. Proactively seeking feedback and maintaining clear documentation can help bridge gaps and foster successful teamwork.

What are the key skills and qualifications needed to thrive as a biomedical analyst, and why are they important?

To thrive as a Biomedical Analyst, you need a strong background in biology, chemistry, and data analysis, typically supported by a degree in biomedical sciences or a related field. Familiarity with laboratory information management systems (LIMS), statistical software like SPSS or R, and relevant laboratory certifications is often required. Attention to detail, critical thinking, and effective communication are crucial soft skills for interpreting complex data and collaborating with multidisciplinary teams. These skills ensure accurate research outcomes, regulatory compliance, and impactful contributions to medical advancements.

What is the difference between Biomedical Analyst vs Laboratory Technician?

AspectBiomedical AnalystLaboratory Technician
Required CredentialsBachelor's degree in biomedical science or related field; certifications varyAssociate's degree or diploma in laboratory technology
Work EnvironmentResearch labs, hospitals, biotech companiesClinical or research laboratories, hospitals
Employer & Industry UsageHealthcare, research institutions, biotech firmsHospitals, diagnostic labs, research facilities
Common Search & ComparisonYesYes

The main difference between a Biomedical Analyst and a Laboratory Technician lies in their education, responsibilities, and work settings. Biomedical Analysts typically hold a bachelor's degree and focus on analyzing biological data, conducting research, and supporting medical advancements. Laboratory Technicians usually have an associate's degree and assist with routine lab tests and sample processing. Both roles are essential in healthcare and research environments, but Biomedical Analysts often engage in more complex data analysis and research activities.

How do you become a biomedical analyst?

To become a biomedical analyst, typically a bachelor's degree in biology, chemistry, or a related field is required. Gaining experience through internships or entry-level positions and developing skills in laboratory techniques and data analysis are important steps; some roles may also require certification or advanced degrees for specialized positions.
What cities in Minnesota are hiring for Biomedical Analyst jobs? Cities in Minnesota with the most Biomedical Analyst job openings:
Biomedical Analyst jobs near you
Infographic showing various Biomedical Analyst job openings in Minnesota as of August 2026, with employment types broken down into 85% Full Time, 7% Part Time, 1% Temporary, and 7% Contract. Highlights an 81% Physical, 7% Hybrid, and 12% Remote job distribution, with an average salary of $66,286 per year, or $31.9 per hour.

Principal Engineer, AI and Machine Learning Software

Murata Americas

Saint Paul, MN • On-site

$140K - $160K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 21 days ago

Job description

Murata Vios is a global medical device company dedicated to creating a paradigm shift in the way healthcare is delivered. Through the utilization of our internet-of-things medical-grade sensors and virtual patient care services, we plan to lower the cost of healthcare and improve patient outcomes. Murata Vios is seeking qualified individuals who contribute to our vision through sound product development engineering practices and passionate sales and marketing leadership.
Why Consider This Job Opportunity
Murata Vios is looking for a talented and motivated Principal Engineer specializing in AI and Machine Learning (ML). This role combines technical leadership with hands-on development, defining the technical direction for AI/ML technologies. The AI & MI Principal Engineer designs, develops, and deploys innovative algorithms that enhance our medical devices and improve patient outcomes. This position works alongside cross-functional teams to deliver impactful solutions while adhering to regulatory standards.
Workplace Policy
Hybrid from Woodbury, Minnesota
What To Expect (Essential Job Responsibilities)
  • Lead the architecture and design of scalable AI platforms and production of ML systems.
  • Provide technical leadership and mentorship to AI/ML engineers.
  • Lead technical reviews and make key architectural decisions for AI-enabled products.
  • Evaluate and introduce emerging AI technologies that provide competitive advantage.
  • Partner with product management, clinical teams, quality, regulatory affairs, and software engineering to define long-term AI/ML technology strategy and product roadmaps.
  • Collaborate with software engineers to integrate AI/ML models into existing software frameworks and ensure seamless operation of medical device systems.
  • Design and develop machine learning algorithms that analyze medical data (e.g., images, biosignals) to support diagnostic and predictive capabilities.
  • Design, develop, and deploy scalable AI/ML pipelines from research through production, ensuring reproducibility, reliability, and maintainability.
  • Develop and optimize deep learning models for biomedical signal, time-series, and medical image analysis.
  • Evaluate, validate, and optimize models for robustness, interpretability, and regulatory compliance.

Miscellaneous Job Responsibilities
  • Collect, preprocess, and analyze large biomedical datasets, ensuring data integrity and compliance with privacy regulations (e.g., HIPAA).
  • Optimize existing machine learning models for performance, accuracy, and efficiency; conduct testing and validation according to regulatory standards (e.g., ISO 13485).
  • Prepare technical documentation such as design specifications, testing protocols, and user manuals in compliance with medical device regulations.
  • Keep abreast of the latest advancements in AI/ML technologies and best practices as well as regulatory changes pertinent to the medical device industry.
  • Provide ongoing support and enhancements for deployed models and algorithms based on user feedback and performance monitoring.

What Is Required (Qualifications)
  • Ph.D. with 7+ years or Master's degree with 15+ years of relevant industry experience in computer science, Software Engineering, Machine Learning, Biomedical Engineering, or a related field.
  • Experience developing deep learning models using architectures such as CNNs, RNNs/LSTMs, transformers, and other modern techniques for biomedical signal, time-series, and medical image analysis.
  • Experience with MLOps practices, including experiment tracking, model versioning, CI/CD for machine learning, automated training pipelines, and monitoring model performance in production.
  • Experience deploying AI/ML models using cloud platforms and containerized technologies such as AWS, Azure, Docker, Kubernetes, ONNX, or TensorRT.
  • Knowledge of explainable AI (XAI), model interpretability, AI risk management, and validation practices for regulated healthcare and medical device applications.
  • Experience in digital signal processing (DSP), signal conditioning, feature extraction, time-series analysis, and statistical signal processing. Experience with wavelet analysis and frequency-domain techniques is preferred.
  • Experience with foundation models, large language models (LLMs), retrieval-augmented generation (RAG), or multimodal AI applications is a plus.
  • Proficiency in MATLAB, Linux, Python.
  • Experience with software engineering best practices, including object-oriented design, code reviews, unit and integration testing, version control (Git), and Agile development methodologies.
  • Knowledge of FDA regulations, ISO standards (e.g., ISO 13485), and compliance requirements applicable to medical devices.
  • Excellent problem-solving and communication skills with a strong analytical mindset.

Other
Minimum Salary: $140,967.00
Maximum Salary: $160,000.00
Perks
  • Comprehensive benefits package including medical, dental, and vision insurance.
  • Generous Paid Time Off including paid holidays and floating holidays.
  • 401(k) employer match on retirement planning.
  • Hybrid working schedule for eligible positions.
  • Tuition reimbursement on approved programs.
  • Flexible and health spending accounts.
  • Talent Development program.

Create a better life for patients, clinicians, and hospital administrators by joining the Murata Vios team. Murata Vios offers competitive compensation and comprehensive benefits.
Equal Opportunity/Affirmative Action Employer - M/F/Disabilities/Veterans

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