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Remote Biomedical Signal Processing Engineer Jobs in Michigan

CertifID

Data Engineer

Grand Rapids, MI · On-site +1

$110K - $132K/yr

Remote worker reimbursement of $300/year * Professional development reimbursement We value ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

CSAA

In order for your application to be correctly processed please sign-in before you apply Internal ... Job Title Software Engineer III - AI/ML Platform Operations - Remote Requisition Number R7739 ...

Actalent

Design Release Engineer- Wiring

Warren, MI · On-site +1

$40/hr

Description The Power and Signal Distribution Systems (PSDS) Engineer is a key position responsible ... We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing ...

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Utilidata

VP, AI & Applications

Ann Arbor, MI · On-site +1

$230K - $290K/yr

The VP partners with the VP, Engineering on the platform that runs these methods in production, and ... learning, or signal processing * Demonstrated experience in algorithms and decision-making ...

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Remote Biomedical Signal Processing Engineer information

What are some typical challenges faced by remote Biomedical Signal Processing Engineers, and how can they be addressed?

Remote Biomedical Signal Processing Engineers often face challenges related to collaborating with interdisciplinary teams, ensuring data security, and accessing necessary hardware for testing algorithms. To overcome these, it's important to establish clear communication channels with colleagues, make use of secure data transfer protocols, and leverage remote access to lab equipment or simulators when possible. Regular virtual meetings and documentation can help maintain alignment with project goals and facilitate effective teamwork.

What does a Remote Biomedical Signal Processing Engineer do?

A Remote Biomedical Signal Processing Engineer analyzes and interprets physiological signals—such as ECG, EEG, or EMG—using advanced computational and mathematical methods. They work remotely to develop algorithms and software that aid in medical diagnostics, patient monitoring, and healthcare research. Their role often involves cleaning, filtering, and extracting meaningful information from complex biological data to support clinical decisions or scientific studies. Collaboration with medical professionals and teams is common, and strong knowledge of signal processing, biomedical engineering, and programming is essential.

What is the difference between Remote Biomedical Signal Processing Engineer vs Remote Medical Data Analyst?

AspectRemote Biomedical Signal Processing EngineerRemote Medical Data Analyst
Required CredentialsBachelor's or Master's in Biomedical Engineering, Electrical Engineering, or related fields; knowledge of signal processingBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in data analysis tools
Work EnvironmentResearch labs, healthcare tech companies, hospitals; focus on signal dataHealthcare organizations, research institutions; focus on large datasets
Employer & Industry UsageMedical device companies, biotech firms, hospitalsHealthcare providers, research organizations, health tech startups

While both roles involve working with healthcare data, Remote Biomedical Signal Processing Engineers focus on analyzing and developing algorithms for biomedical signals like ECG or EEG. Remote Medical Data Analysts interpret large health datasets to derive insights. The roles differ mainly in technical focus and data types but often collaborate within healthcare tech environments.

What are the key skills and qualifications needed to thrive as a Remote Biomedical Signal Processing Engineer, and why are they important?

To thrive as a Remote Biomedical Signal Processing Engineer, you need expertise in signal processing, biomedical engineering, and a strong background in mathematics and statistics, usually supported by a relevant degree. Familiarity with tools like MATLAB, Python (NumPy, SciPy), and experience with medical device data protocols and regulatory standards are commonly required. Strong problem-solving, self-motivation, and clear communication skills help you work effectively in a remote, interdisciplinary environment. These abilities are crucial for developing accurate, regulatory-compliant solutions that improve healthcare outcomes while collaborating remotely with diverse teams.
What are popular job titles related to Remote Biomedical Signal Processing Engineer jobs in Michigan? For Remote Biomedical Signal Processing Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Remote Biomedical Signal Processing Engineer jobs in Michigan look for? The top searched job categories for Remote Biomedical Signal Processing Engineer jobs in Michigan are:
What cities in Michigan are hiring for Remote Biomedical Signal Processing Engineer jobs? Cities in Michigan with the most Remote Biomedical Signal Processing Engineer job openings:
Remote Biomedical Signal Processing Engineer jobs near you
Data Engineer

Data Engineer

CertifID

Grand Rapids, MI • On-site, Remote

$110K - $132K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago

Job description

At CertifID, we're on a mission to protect life's largest transactions from fraud. We help title companies, law firms, lenders, and consumers safeguard billions of dollars from wire fraud daily. As we scale, we're building a team of growth-minded individuals passionate about protecting our customers and transforming the way sensitive data is secured.

We're seeking a talented and driven Data Engineer to help us elevate our data platform. This is a high-impact role where you'll contribute to the design and development of scalable data infrastructure, support data-driven decision-making, and play a key role in shaping the future of fraud prevention. You'll work alongside experienced engineers and cross-functional teams in a fast-paced environment with plenty of growth opportunities.

What You Will Do

  • Design, implement, and maintain ETL/ELT pipelines that pull and merge data from multiple internal and external systems, ensuring clean, reliable, and scalable data flows across the organization.

  • Own the data warehouse architecture, including partitioning strategy, access controls, and security, in partnership with Security and Infrastructure teams to meet compliance and performance requirements.

  • Partner with data science, engineering, Revenue Operations, and executive stakeholders to define and track KPIs, translating complex requirements into reliable data solutions that drive strategic decisions.

  • Champion data quality and governance, ensuring insights are consistent, trustworthy, and well-documented across the organization.

  • Take full ownership of billing data infrastructure, including backend warehouse tables, data models, and ongoing maintenance.

  • Build dashboards and analytics that deliver actionable insights for executive leadership, GTM, product, and finance teams.

  • Share knowledge and support the growth of peers through code reviews, documentation, and informal mentorship.

What You Will Bring

  • 5+ years of experience in data engineering or analytics engineering, ideally supporting GTM or business functions in a fast-paced environment.

  • Proven ability to manage data integrations across platforms such as Salesforce, HubSpot, Amplitude, Sigma, Clay, and similar tools.

  • Expertise in Python with strong SQL skills and experience building with a modern data stack (BigQuery, dbt, Fivetran, Airflow).

  • Familiarity with credit or financial data and the regulatory considerations that come with handling sensitive information.

  • Hands-on experience with AWS or GCP, containerization (Docker, Kubernetes), and CI/CD pipelines.

  • Experience building and maintaining scalable data visualization solutions (Sigma, Looker, Tableau).

  • Strong communication and stakeholder management skills, with the ability to partner effectively with executives and non-technical teams.

  • A bias toward action, comfort working in ambiguity, and a strong sense of ownership - you find answers rather than wait for direction.

Bonus Points

  • Experience in fintech, cybersecurity, or fraud prevention.

  • Familiarity with data privacy regulations (e.g., SOC 2, GDPR, CCPA).

  • Contributions to open-source data tools or communities.

What We Offer

  • Competitive salaries 

  • Excellent medical, dental and vision benefits

  • Participation in the employee stock option program

  • Flexible Time Off policy

  • 401(k) with a generous company match and no vesting schedule

  • 12 company-paid holidays, 10 paid sick days and your birthday off!

  • Company-paid life insurance

  • Company paid short and long-term disability

  • Generous parental paid leave

  • Wellness reimbursement of $300/year

  • Remote worker reimbursement of $300/year

  • Professional development reimbursement

We value diversity, equity and inclusion in everything we do. It is our policy to provide equal opportunity to all people without regard to race, color, religion, national origin, marital status, veteran status, age, disability, pregnancy, sex, sexual orientation, gender identity or any other legally protected category.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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