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Internship Signal Processing Research Scientist Jobs in Park Ridge, IL

Scientist-Research

IL · On-site

$110K - $120K/yr

Scientific knowledge of the dynamics, physics and chemical processes occurring in the uppermost ... Good writing and oral communication skills in regularly conveying research progress clearly to the ...

This internship offers a unique opportunity for you to research, prototype, and demonstrate forward ... Basic understanding of signal processing, computer vision, and machine learning * Experience with ...

Posted today

This internship offers a unique opportunity for you to research, prototype, and demonstrate forward ... Basic understanding of signal processing, computer vision, and machine learning * Experience with ...

New

This internship offers a unique opportunity for you to research, prototype, and demonstrate forward ... Basic understanding of signal processing, computer vision, and machine learning * Experience with ...

This internship offers a unique opportunity for you to research, prototype, and demonstrate forward ... Basic understanding of signal processing, computer vision, and machine learning * Experience with ...

Provide technical/process expertise for selection and design of process equipment, e.g. filling machines, and facility design for new or expanding manufacturing sites. * Represent the parenteral PDS ...

This internship offers a unique opportunity for you to research, prototype, and demonstrate forward ... Basic understanding of signal processing, computer vision, and machine learning * Experience with ...

Showing results 41-60

Internship Signal Processing Research Scientist information

See Park Ridge, IL salary details

$49.7K

$128K

$171.2K

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

As of Sep 6, 2026, the average yearly pay for internship signal processing research scientist in Park Ridge, IL is $128,036.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,800.00 and $170,200.00 per year, depending on experience, location, and employer.

What does an internship signal processing research scientist do?

An Internship Signal Processing Research Scientist assists in the development, analysis, and implementation of algorithms that process signals such as audio, images, or sensor data. Interns typically support senior researchers by conducting experiments, analyzing data, and developing prototypes. They use mathematical and computational tools to extract meaningful information from raw signals, often applying their work to fields like telecommunications, medical imaging, or audio processing. The internship provides hands-on experience with real-world signal processing challenges while contributing to ongoing research projects.

What types of projects or research topics can an internship signal processing research scientist expect to work on?

As an Internship Signal Processing Research Scientist, you will likely be involved in projects such as developing algorithms for audio, image, or sensor data analysis, implementing machine learning techniques for signal enhancement, and supporting senior researchers with experimental design and data interpretation. Depending on the organization's focus, you may also contribute to real-time signal processing systems or simulation studies. Collaboration with multidisciplinary teams—including hardware engineers, data scientists, and software developers—is common, providing valuable exposure to both theoretical and applied aspects of signal processing.

What are the key skills and qualifications needed to thrive as an internship signal processing research scientist, and why are they important?

To thrive as an Internship Signal Processing Research Scientist, you generally need a solid background in mathematics, signal processing theory, and programming, often supported by coursework or research experience in electrical engineering or a related field. Familiarity with technical tools such as MATLAB, Python, and signal analysis libraries, as well as experience using simulation or data acquisition systems, is typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help interns stand out when collaborating with research teams and presenting findings. These skills and qualities are crucial for developing innovative solutions and advancing research objectives in signal processing projects.

What is the difference between Internship Signal Processing Research Scientist vs Signal Processing Engineer?

AspectInternship Signal Processing Research ScientistSignal Processing Engineer
CredentialsTypically pursuing or holding a relevant degree (e.g., Electrical Engineering, Computer Science)Bachelor's or Master's in Electrical Engineering, Computer Science, or related field
Work EnvironmentResearch labs, academic settings, or R&D departments within tech companiesDesign, develop, and implement signal processing algorithms in industry settings
Industry UsagePrimarily in research projects, academic collaborations, or early-stage product developmentProduct development, system optimization, and deployment in commercial products

While both roles involve signal processing concepts, an Internship Signal Processing Research Scientist focuses on research and experimentation during an internship, often in academic or R&D environments. In contrast, a Signal Processing Engineer applies these skills in product development and system implementation within industry settings.

What cities near Park Ridge, IL are hiring for Internship Signal Processing Research Scientist jobs?

Cities near Park Ridge, IL with the most Internship Signal Processing Research Scientist job openings:

Research Scientist - Aging and Disability Public Health Surveillance - Chicago Loop Office

NORC at the University of Chicago

Chicago, IL • On-site

$106K - $115K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago


Key responsibilities

  • Conduct analyses of Medicare and Medicaid claims and national survey data, including data management, cohort construction, descriptive analysis, and statistical modeling.

  • Build, clean, document, and quality-check analytic datasets from large administrative and survey data sources.

  • Produce tables, figures, estimates, and visualizations for reports, manuscripts, and public use files.


NORC at the University of Chicago rating

6.9

Company rating: 6.9 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

67th of 75 rated research


Job description

Research Scientist - Aging and Disability Public Health Surveillance - Chicago Loop Office
Job no: 503954 Work type: Regular Full-Time Location: Chicago - 300 E Randolph St Capability Area: Public Health
JOB SUMMARY:
NORC at the University of Chicago is seeking a Research Scientist to join the Public Health Research Department in our Chicago Loop Office.
NORC's Public Health Analytics Program conducts research and surveillance on age-related chronic disease and disability. The program's portfolio includes the Dementia DataHub (DementiaDataHub.org), the Vision and Eye Health Surveillance System (VEHSS), SoundCheckMap, fall prevention research, and additional projects on aging-related conditions. The work is funded through NIH grants, federal contracts, and foundation support, and is conducted in partnership with academic institutions, federal agencies, and industry collaborators. The program uses Medicare claims, national surveys, and other secondary data to measure disease burden, identify disparities, and inform policy.
We are hiring a Research Scientist to provide analytic support across this portfolio. The role suits an early-career quantitative researcher who wants to build deep skills in claims and survey data analysis, contribute to peer-reviewed publications, and work across multiple projects in a well-funded program. This position works under the direction of senior scientists, with substantial mentorship and a clear growth path toward more independent research.
Qualified applicants must be eligible to work in the U.S. We regret that we are unable to offer visa sponsorship for this position.
Location: This is a hybrid role based in either our Chicago Loop or downtown Washington, DC office, with a minimum of six days per month in the office.
DEPARTMENT: PUBLIC HEALTH
The Public Health Research team conducts work on a variety of public health topics including disease surveillance, health communication science, health promotion, interpersonal conflict and violence, rural health, and social determinants of health. Our team includes prominent health policy experts, nationally recognized public health researchers with general and specialized expertise in areas such as rural health and tribal issues, health communications, skilled methodologists, and leaders in the field of survey design and implementation. Our staff also brings expertise in populations of special interest and the intersection of public health and health care delivery. We offer broad, multidisciplinary experiences spanning public health, epidemiology, statistics, policy, developmental psychology, economics, sociology, social work, and political science.
RESPONSIBILITIES:
  • Conduct analyses of Medicare and Medicaid claims and national survey data under the direction of senior scientists, including data management, cohort construction, descriptive analysis, and statistical modeling.
  • Build, clean, document, and quality-check analytic datasets from large administrative and survey data sources.
  • Produce tables, figures, and estimates for reports, manuscripts, public use files, and data visualization tools.
  • Run and maintain established analytic pipelines, verify outputs, and flag anomalies for investigation.
  • Co-author peer-reviewed publications and contribute to reports and federal contract deliverables, with first-author opportunities as skills develop.
  • Support grant applications, progress reports, and disclosure review processes.
  • Produce analytic code that is reproducible, auditable, and built to survive verification.

REQUIRED SKILLS:
  • Master's degree in economics, health services research, public policy, epidemiology, biostatistics, data science, or a closely related quantitative field. PhD preferred but not required.
  • At least 7 years experience in positions of increasing responsibility in social science research or related field (or equivalent education) including at least 3 years of social science project management.
  • Demonstrated proficiency in SAS, R, or Python for data management and statistical analysis. SAS is preferred; strong R or Python candidates will be considered. STATA and SPSS proficiency alone is not sufficient.
  • Hands-on experience managing and analyzing large or complex datasets, such as administrative claims, electronic health records, or national surveys.
  • Clear technical writing and the ability to document methods and contribute to manuscripts and reports.
  • Meticulous attention to detail and a strong instinct for when something is not quite right in the data or the analysis.
  • Qualified applicants must be eligible to work in the U.S. We regret that we are unable to offer visa sponsorship for this position.

Preferred qualifications
  • PhD in a quantitative field listed above.
  • Direct experience with Medicare, Medicaid, or commercial claims data.
  • Experience with dementia measurement or aging-related health research.
  • Familiarity with nationally representative longitudinal cohort studies relevant to aging, such as the Health and Retirement Study (HRS), the National Health and Aging Trends Study (NHATS), or the National Social Life, Health, and Aging Project (NSHAP).
  • Experience working in the CMS Virtual Research Data Center or other secure data enclaves.
  • Experience with epidemiological estimation, machine learning, Bayesian regression methods, econometrics, or cost-effectiveness analysis.
  • Contributions to peer-reviewed publications.

What we offer
  • Stable, sustained research funding through NIH grants, federal contracts, and foundation-supported research.
  • Direct mentorship from senior scientists with long records of NIH funding and peer-reviewed publication.
  • A defined growth path toward more independent research, including co-authorship from the start and first-author opportunities as skills develop.
  • Affiliation with NORC at the University of Chicago, with access to NORC's data infrastructure, statisticians, and broader research community.
  • The opportunity to do work that matters. The program produces some of the only national-scale surveillance estimates for dementia, vision impairment, and hearing loss, and the analyses you contribute will shape how disease burden in aging populations is measured at the national level.

Who will thrive here
The strongest candidates bring genuine curiosity about health data and what it does and does not tell us, paired with near-obsessive attention to analytic accuracy. This role works across several projects at once, so we value people who stay organized under shifting priorities, follow direction well, ask questions early, and speak up when a number looks wrong. We work iteratively and collaboratively, and we invest in people who want to grow.
SALARY AND BENEFITS:
The pay range for this position is $106,000 - $115,000.
This position is classified as regular. Regular staff are eligible for NORC's comprehensive benefits program. Benefits include, but are not limited to:
  • Generously subsidized health insurance, effective on the first day of employment
  • Dental and vision insurance
  • A defined contribution retirement program, along with a separate voluntary 403(b) retirement program
  • Group life insurance, long-term and short-term disability insurance
  • Benefits that promote work/life balance, including generous paid time off, holidays; paid parental leave, bereavement leave, tuition assistance, and an Employee Assistance Program (EAP).

NORC is committed to equity and transparency in its pay practices. We publish salary ranges and benefit information for every job. The listed hiring range reflects what we, in good faith, expect to pay at the time of posting, though actual compensation may vary and may be adjusted over time. A candidate's placement within the range depends on factors such as competencies, education, qualifications, experience, skills, performance, and organizational needs.
WHAT WE DO:
NORC at the University of Chicago is an objective, non-partisan research institution that delivers reliable data and rigorous analysis to guide critical programmatic, business, and policy decisions. Since 1941, our teams have conducted groundbreaking studies, created and applied innovative methods and tools, and advanced principles of scientific integrity and collaboration. Today, government, corporate, and nonprofit clients around the world partner with us to transform increasingly complex information into useful knowledge.
WHO WE ARE:
For over 80 years, NORC has evolved in many ways, moving the needle with research methods, technical applications and groundbreaking research findings. But our tradition of excellence, passion for innovation, and commitment to collegiality have remained constant components of who we are as a brand, and who each of us is as a member of the NORC team. With world-class benefits, a business casual environment, and an emphasis on continuous learning, NORC is a place where people join for the stellar research and analysis work for which we're known, and stay for the relationships they form with their colleagues who take pride in the impact their work is making on a global scale.
EEO STATEMENT:
NORC is an equal opportunity employer. NORC evaluates qualified applicants without regard to race, color, religion, sex, gender, national origin, disability, status as a protected veteran, sexual orientation, and other legally protected characteristics.
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Advertised: August 25, 2026 Central Daylight Time Applications close:
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