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Remote Signal Processing Research Scientist Jobs

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ... signals in application materials based on available information. These tools assist our recruitment ...

... signal that makes them better, and form a core pillar of our scientific safety case to put them on ... If you would like more information about how your data is processed, please contact us.

... signal that makes them better, and form a core pillar of our scientific safety case to put them on ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

... signal that makes them better, and form a core pillar of our scientific safety case to put them on ... If you would like more information about how your data is processed, please contact us.

... signal that makes them better, and form a core pillar of our scientific safety case to put them on ... If you would like more information about how your data is processed, please contact us.

... signal that makes them better, and form a core pillar of our scientific safety case to put them on ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

... signal that makes them better, and form a core pillar of our scientific safety case to put them on ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

... signal that makes them better, and form a core pillar of our scientific safety case to put them on ... If you would like more information about how your data is processed, please contact us.

$120K - $190K/yr

Both remote and in-person (Berkeley, CA or Singapore) are possible. We sponsor visas for in-person ... Application process: A 72-minute programming assessment, two interviews with members of our ...

Senior Research Scientist (Video)

$100K - $128K/yr

... and signal processing. While we are intense about execution excellence, we value a sustainable ... Remote-first environment - giving you flexibility and autonomy in how you structure your day.

Research Scientist

Redwood City, CA · On-site +1

$200K - $350K/yr

Redwood City or San Francisco OR REMOTE Main Responsibilities * Design, implement, and validate ... process, to perform essential job functions, and to receive other benefits and privileges of ...

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ... signals in application materials based on available information. These tools assist our recruitment ...

Showing results 41-60

Remote Signal Processing Research Scientist information

See salary details

$50.5K

$130.1K

$174K

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

As of Aug 6, 2026, the average yearly pay for remote signal processing research scientist in the United States is $130,117.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $173,000.00 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?

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.

More about Remote Signal Processing Research Scientist jobs
What cities are hiring for Remote Signal Processing Research Scientist jobs? Cities with the most Remote Signal Processing Research Scientist job openings:
What are the most commonly searched types of Signal Processing Research Scientist jobs? The most popular types of Signal Processing Research Scientist jobs are:
What states have the most Remote Signal Processing Research Scientist jobs? States with the most job openings for Remote Signal Processing Research Scientist jobs include:
What job categories do people searching Remote Signal Processing Research Scientist jobs look for? The top searched job categories for Remote Signal Processing Research Scientist jobs are:
Infographic showing various Remote Signal Processing Research Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $130,117 per year, or $62.6 per hour.

Research Scientist Associate

New Mexico state Universoty

Las Cruces, NM • On-site, Remote

Other

Posted 6 days ago


New Mexico State University rating

7.3

Company rating: 7.3 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

335th of 615 rated colleges and universities


Job description

Research Scientist Associate

Apply now Job no: 503900
Work type: Staff Full-Time
Location: Las Cruces
Categories: Staff

Department Contact: Carolina Mijares, (575) 646-4337 & mijares@nmsu.edu

Internal or External Search: External - Open to all applicants

Advertising Summary: The New Mexico Water Resources Research Institute (NM WRRI) at New Mexico State University (NMSU) invites applications for a Research Scientist, Associate - Hydrologic Modeler to join an interdisciplinary team addressing critical water resource challenges across New Mexico and the Southwest.
This position offers an exciting opportunity to develop and apply advanced hydrologic models that improve understanding of water availability, movement, and management under arid and semi-arid environmental conditions. The successful candidate will collaborate with scientists, engineers, geographers, agricultural producers, water managers, Tribal Nations, acequia associations, irrigation districts, and other community partners to develop innovative, science-based solutions that support resilient water resources and agricultural systems.
The Research Scientist, Associate will contribute to projects funded by the Bureau of Reclamation, National Science Foundation, U.S. Geological Survey, USDA, and other state and federal sponsors. Research activities include surface water, groundwater, agricultural water management, water budgets, climate impacts, ecosystem processes, and integrated water resource management. Working within an interdisciplinary research environment, the successful candidate will develop and apply hydrologic models, analyze environmental and geospatial datasets, and create decision-support tools that inform water management and policy across New Mexico and the Southwest.

Position Details

Position Title: Research Scientist Associate

College/Division: Research, Creativity and ED

Department: 470500-WATER RESOURCES RESEARCH INSTITUTE

Location: Las Cruces

Offsite Location (if applicable):

Target Hourly/Salary Rate: Commensurate with qualifications

Appointment Full-time Equivalency: 1.0

FLSA Status: Exempt

Bargaining Unit Announcement: This is NOT a bargaining unit position with American Federation of State, County & Municipal Employees (AFSCME).

Contingent Upon Funding: Contingent upon funding

Standard Work Schedule: Standard (M-F, 8-5)

If Not a Standard Work Schedule: 

Job Duties and Responsibilities: Collaborate closely with the Principal Investigator and interdisciplinary project teams to develop and apply hydrologic models that support research, planning, and water resource management.
Primary responsibilities include, but are not limited to:
Lead and coordinate assigned modeling and research activities, project milestones, and technical deliverables.
Develop, calibrate, validate, and apply hydrologic and water resources models to evaluate water availability, management, and the impacts of drought, climate variability, and land use change.
Conduct quantitative analyses of hydrologic, climatic, environmental, and geospatial datasets using GIS, remote sensing, and statistical methods.
Integrate modeling results with field observations, monitoring data, and interdisciplinary research to improve understanding of water systems and management strategies.
Develop maps, visualizations, and decision-support tools that communicate complex scientific information to researchers, resource managers, stakeholders, and policymakers.
Collaborate with faculty, agencies, agricultural producers, tribes, pueblos, acequia associations, irrigation districts, and other partners to address regional water resource challenges.
Mentor graduate and undergraduate students participating in research activities.
Prepare technical reports, peer-reviewed publications, and presentations for scientific, agency, and stakeholder audiences.
Assist with proposal development and contribute to expanding NM WRRI's externally funded research portfolio.
Preferred Qualifications
Hydrologic and water resources modeling
Surface water and groundwater systems
Water budget analysis
GIS and geospatial analysis (ArcGIS Pro or similar)
Remote sensing and spatial data analysis
Scientific programming (Python, MATLAB, etc.)
Statistical analysis and model evaluation
Climate and environmental data analysis
Decision-support systems and scientific visualization
Model calibration, validation, sensitivity analysis, and uncertainty assessment
Special Requirements of the Position
The successful candidate will be expected to:
Develop collaborative research partnerships with faculty, agencies, and community stakeholders.
Participate in the preparation and submission of at least three external funding proposals annually.
Publish at least three peer-reviewed scholarly publications annually.
Present research findings at professional meetings, workshops, and stakeholder meetings.
Travel as needed to support research activities, field investigations, and project collaboration.

Qualifications

Required Education and Experience: 
Associate's Degree + 7 years of relevant experience or a Bachelor's degree + 5 years of relevant experience.

Equivalent Qualifications: 

Preferred Qualifications: 
Preferred Education: Bachelor's degree in a related field
Preferred Experience: Five (5) years of professional experience related to the job duties and responsibilities as outlined

Special Certification/Licensure: 

Working Conditions and Physical Effort

Environment: Work is normally performed in a typical interior/office work environment.

Physical Effort: Light physical effort. Effort applies to no more than two (2) hours per day.

Lifting Requirements: Requires handling of average-weight objects up to 10 pounds or some standing or walking.

Risk: No or very limited exposure to physical risk.

Advertised: 30 Jul 2026 Mountain Daylight Time
Applications close: 20 Aug 2026 Mountain Daylight Time

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