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Remote Signal Processing Research Scientist Jobs in Rochester, MN

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Remote Signal Processing Research Scientist information

See Rochester, MN salary details

$51.3K

$132.3K

$176.9K

How much do remote signal processing research scientist jobs pay per year?

As of Jun 25, 2026, the average yearly pay for remote signal processing research scientist in Rochester, MN is $132,263.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,300.00 and $175,900.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Signal Processing Research Scientist, you generally need an advanced degree in electrical engineering, computer science, or a related field, with a solid foundation in mathematics and signal processing theory. Familiarity with programming languages like MATLAB or Python, experience in simulation tools, and knowledge of machine learning frameworks are typically required, and certifications in data science or digital signal processing can be advantageous. Strong analytical thinking, problem-solving skills, and the ability to communicate complex ideas clearly are crucial soft skills for standing out in this position. These competencies are essential to innovating, interpreting data accurately, and collaborating effectively in multidisciplinary, remote research environments.

What is a Remote Signal Processing Research Scientist?

A Remote Signal Processing Research Scientist is a professional who specializes in analyzing and interpreting signals, such as audio, radar, or biomedical data, using advanced mathematical and computational techniques. Working remotely, they design algorithms and models to extract meaningful information from complex signals, often to improve technology in fields like communications, healthcare, or defense. Their work typically involves research, programming, collaboration with multidisciplinary teams, and publishing findings. These scientists often hold advanced degrees in engineering, physics, or related fields and use tools like MATLAB, Python, or specialized signal processing software.

How does a Remote Signal Processing Research Scientist typically collaborate with cross-functional teams, and what communication tools are commonly used in this remote setting?

Remote Signal Processing Research Scientists frequently work with multidisciplinary teams, including data scientists, hardware engineers, and software developers. Collaboration is often facilitated through digital platforms such as Slack, Microsoft Teams, and project management tools like Jira or Asana. Regular virtual meetings and shared documentation ensure alignment on research goals, data requirements, and model development. Clear and proactive communication is key to overcoming remote work challenges, such as time zone differences and asynchronous feedback.

What is the difference between Remote Signal Processing Research Scientist vs Remote Data Scientist?

AspectRemote Signal Processing Research ScientistRemote Data Scientist
Required CredentialsMaster's or PhD in Electrical Engineering, Computer Science, or related fields; expertise in signal processingBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in data analysis and machine learning
Work EnvironmentResearch labs, tech companies, or academia focusing on signal analysis and algorithm developmentBusiness, tech firms, or consulting firms analyzing large datasets to derive insights
Industry UsageTelecommunications, defense, audio/video processingFinance, marketing, healthcare, tech industries

The Remote Signal Processing Research Scientist focuses on developing algorithms for analyzing signals in fields like telecommunications and defense, requiring advanced technical credentials. In contrast, the Remote Data Scientist applies statistical and machine learning techniques to large datasets across various industries. While both roles involve data analysis, their core skills and work environments differ significantly.

What are the most commonly searched types of Signal Processing Research Scientist jobs in Rochester, MN? The most popular types of Signal Processing Research Scientist jobs in Rochester, MN are:
What are popular job titles related to Remote Signal Processing Research Scientist jobs in Rochester, MN? For Remote Signal Processing Research Scientist jobs in Rochester, MN, the most frequently searched job titles are:
What job categories do people searching Remote Signal Processing Research Scientist jobs in Rochester, MN look for? The top searched job categories for Remote Signal Processing Research Scientist jobs in Rochester, MN are:
Director - AI Validation and Monitoring

Director - AI Validation and Monitoring

Mayo Clinic

Rochester, MN • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement

This job post has expired 1 day ago. Applications are no longer accepted.


Mayo Clinic rating

7.9

Company rating: 7.9 out of 10

Based on 682 frontline employees who took The Breakroom Quiz

107th of 875 rated healthcare providers


Job description

The Director - AI Validation and Monitoring is the organizational architect of Mayo's policies and processes for measuring, monitoring, and reporting on the real-world effectiveness of AI systems used in clinical practice. As the AI portfolio grows to encompass predictive analytics, generative AI, and agentic AI across clinical and patient experience activities in the Practice, this leader will ensure that every deployed model meets Mayo performance and safety standards and continues to perform as intended - and that performance is defined not just by technical accuracy, but by clinical impact, patient safety, and return on investment. Reporting to the Senior Director, AIA, the Director will build the talent, infrastructure, and culture necessary to make rigorous AI evaluation a continuous organizational capability rather than a one-time validation event.
The Director also designs and operationalizes a pre- and post-deployment performance monitoring and reporting program that tracks model performance across diverse care settings, patient populations, and time horizons - detecting drift, degradation, and disparate impact before they translate into low performance, clinical harm or operational inefficiency. This leader will develop standardized evaluation frameworks that define success metrics for each AI use case in collaboration with clinical, operational, and financial stakeholders, ensuring alignment between technical performance indicators and meaningful outcomes such as patient benefit, patient volume, and clinician burden. The Director will oversee the build-out of dashboards and reporting pipelines that surface AI performance data to AIA and Practice leadership. They will also support structured retrospective reviews when AI-assisted decisions contribute to adverse events or near-misses, working in close partnership with patient safety, quality, and legal teams to drive corrective action and continuous improvement. 
Additionally, the Director partners with other AIA components to ensure that performance evaluation supports AIA and Mayo goals for high-performing, transformative clinical care. The Director will be the enterprise nexus for advancing Mayo's leadership in robust yet practical performance and risk evaluation to elevate current standards of care, partnering closely with Practice leaders across departments and sites, as well as other enterprise governance leaders and bodies. Above all, the successful candidate will be a credible, collaborative leader who can work across the boundaries of AI technology, data science, clinical medicine, and operations - translating evaluation findings into the institutional learning that makes AI better and safer for every patient we serve.
Key Responsibilities

  • AI Strategy & Program Leadership: Lead development and execution of enterprise AI strategy and multi-year roadmaps aligned with organizational goals.
  • Portfolio Oversight: Oversee intake, prioritization, and sequencing of AI initiatives; balance value, feasibility, risk, and capacity across portfolios.
  • CrossFunctional Leadership: Partner with clinical, operational, technical, legal, compliance, and data leaders to advance AI initiatives from concept through deployment.
  • Governance & Responsible AI: Ensure AI initiatives adhere to governance frameworks, ethical standards, regulatory requirements, and risk management practices.
  • Operational Enablement: Establish operating rhythms, performance metrics, and reporting mechanisms to track progress, outcomes, and value realization.
  • Stakeholder Engagement: Serve as a trusted advisor to senior leaders; communicate AI strategy, progress, and impact through executivelevel updates and presentations.
  • People & Team Leadership: Lead, develop, and support managers and senior professionals; foster a culture of accountability, collaboration, and continuous improvement.
  • Financial & Resource Stewardship: Support budget planning, resource allocation, and business case development for AI initiatives.


Core Competencies

  • Enterprise AI & Digital Strategy
  • Executive Presence & Influence
  • Change Leadership & Resilience
  • Ethical & Responsible AI Stewardship
  • CrossFunctional Collaboration
  • Program & Portfolio Management


This is a hybrid position and incumbent must live within 100 miles of a Mayo Clinic campus.  Fulltime remote may be considered.
Mayo Clinic will not sponsor or transfer visas for this position including F1 OPT STEM.

Why Mayo Clinic

Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans - to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic.

Benefits Highlights
  • Medical: Multiple plan options.
  • Dental: Delta Dental or reimbursement account for flexible coverage.
  • Vision: Affordable plan with national network.
  • Pre-Tax Savings: HSA and FSAs for eligible expenses.
  • Retirement: Competitive retirement package to secure your future.
Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is. 

Equal Opportunity

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the "EOE is the Law".  Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.

Position Qualifications

  • Bachelor's degree and 10 years of progressive experience in healthcare, technology, operations, analytics, or related fields with demonstrated leadership responsibility required.
  • Master's degree and 10 years of progressive experience in healthcare, technology, operations, analytics, or related fields with demonstrated leadership responsibility preferred.
  • Demonstrated experience leading high performing teams and delivering complex enterprise initiatives in a matrixed organizations preferred.

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About Mayo Clinic

Sourced by ZipRecruiter

Mayo Clinic is the largest integrated, not-for-profit medical group practice in the world. We're building the future, one where the best possible care is available to everyone — and more people can heal at home. Our relentless research turns into earlier diagnoses and new cures. That's how we inspire hope in those who need it most. At Mayo Clinic, experts work together to solve the most challenging unmet needs of patients. Our history of innovation dates back almost 150 years, when brothers Will and Charlie Mayo pioneered an integrated, team-based approach to medicine. Today, that trailblazing spirit drives innovations like Mayo Clinic Platform — which powers new technologies to change how care is delivered to all.

Industry

Hospitals

Company size

10,000+ Employees

Headquarters location

Rochester, MN, US

Year founded

1919