Pay
Lower than most similar jobs
$90K–$104K against $127K–$190K, the middle half of what similar US postings state.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
SAS Data Scientist I – Health Data Research
Reads like a Data Engineer role: pipelines and data infrastructure.
Chicago - 300 E Randolph St
Actively hiring, first seen by us 7 days ago- Pay
$90,000–104,000/yearAnnual period assumed — pay source
SALARY AND BENEFITS: The pay range for this position is $90,000-$104,000 This position is classified as regular. Regular staff are eligible for NORC’s comprehensive benefits program. Benefits include, but are not limited to:
Read the full posting- Work setting
Hybrid — work setting source
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 DC office, with a minimum of six days per month in the office. Exceptional remote candidates may be considered as well. DEPARTMENT: Health Sciences Research
Read the full posting- Employment
- Not stated
Before you apply
- Work authorization
- Must already have the right to work in the US
Qualified applicants must be eligible to work in the US We regret that we are unable to offer visa sponsorship for this position
What you’ll work on
Full postingClean, transform, validate, and harmonize data from varied sources
Identify trends and data quality issues and present findings to teams
Develop reports, dashboards, tables, charts, and visualizations
Create and maintain databases, data systems, and data dictionaries
Draft technical or analytical sections for proposals
From the employer’s posting
Collect, clean, transform, validate, and harmonize data from a variety of sources.
Identify trends, patterns, and data quality issues, and communicate findings and recommendations to project teams and stakeholders.
Develop reports, dashboards, tables, charts, and visualizations.
Create, document, manage, and maintain databases, data systems, and data dictionaries.
Contribute to proposal development activities, including drafting technical or analytical sections.
What you’ll bring
All qualificationsCore experience
- Bachelor’s degree in one of the following fields: quantitative social sciences, public health, statistics, biostatistics, health informatics, math, data science, or computer science, or related field required.
- Proficiency with data management and data processing.
- 4 years of experience in positions of increasing responsibility, working with large data sets and conducting statistical/analytic programming, preferably working with large data sets
- Proficiency with MS Office software.
Qualification wording
Bachelor’s degree in one of the following fields: quantitative social sciences, public health, statistics, biostatistics, health informatics, math, data science, or computer science, or related field required. Advanced degree preferred.
Proficiency with data management and data processing.
4 years of experience in positions of increasing responsibility, working with large data sets and conducting statistical/analytic programming, preferably working with large data sets
Proficiency with MS Office software.
Education & alternatives
REQUIRED SKILLS: - Bachelor’s degree in one of the following fields: quantitative social sciences, public health, statistics, biostatistics, health informatics, math, data science, or computer science, or related field required. Advanced degree preferred. - Proficiency with data management and data processing.
About NORC at the University of Chicago
For over 80 years, NORC has evolved in many ways, moving the needle with research methods, technical applications and groundbreaking research findings.
In the employer’s words · Read in context
Posting record
Report an errorActively hiringFirst seen by us 7 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 29, 20267 days ago
- Recorded sightings
- 22
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 7
Similar jobs usually come down between day 6 and day 54.
From 11,032 similar postings that came down. Coming down is not always a hire.
NORC at the University of Chicago is hiring
6 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- R
- SAS
- SQL
- Hadoop
- Hive
- Tableau
Where the posting names them
JOB SUMMARY: NORC at the University of Chicago is seeking a qualified Data Scientist I to join the Health Sciences Department to support hospital discharge data processing across states and harmonizing and packaging files into a uniform format. For this role, proficiency in SAS is a requirement. Experience with R or Python is welcome but not essential. Prior work with healthcare or administrative claims data is preferred, and strong documentation practices are important. The Data Scientist I supports research, analytics, and data-driven decision-making. This role partners with research teams to collect, manage, analyze, and interpret data to deliver meaningful insights for clients and stakeholders.
- Advanced programming skills in SAS are required, including experience with SAS macros - Additional experience with other statistical packages and database tools such as SQL, Python, R, Tableau, Hadoop, Hive, MapReduce and/or other large data systems is welcome but not essential. - Prior work with healthcare or administrative claims data is strongly preferred.
SAS Data Scientist I – Health Data Research Apply now Job no: 503991 Work type: Regular Full-Time Location: Chicago - 300 E Randolph St Capability Area: Health Sciences
- Strong foundation in areas of statistics, mathematics, and data science. - Advanced programming skills in SAS are required, including experience with SAS macros - Additional experience with other statistical packages and database tools such as SQL, Python, R, Tableau, Hadoop, Hive, MapReduce and/or other large data systems is welcome but not essential.
Your next step
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Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
SAS Data Scientist I – Health Data Research
Apply now Job no: 503991 Work type: Regular Full-Time Location: Chicago - 300 E Randolph St Capability Area: Health Sciences
JOB SUMMARY:
DEPARTMENT: Health Sciences Research
RESPONSIBILITIES:
REQUIRED SKILLS:
SALARY AND BENEFITS:
WHAT WE DO:
NORC at the University of Chicago is seeking a qualified Data Scientist I to join the Health Sciences Department to support hospital discharge data processing across states and harmonizing and packaging files into a uniform format. For this role, proficiency in SAS is a requirement. Experience with R or Python is welcome but not essential. Prior work with healthcare or administrative claims data is preferred, and strong documentation practices are important.
The Data Scientist I supports research, analytics, and data-driven decision-making. This role partners with research teams to collect, manage, analyze, and interpret data to deliver meaningful insights for clients and stakeholders.
The position is responsible for importing, cleaning, standardizing, transforming, and validating data, identifying data quality issues, and developing reports and visualizations. The Data Scientist I may also support data management processes, and proposal development activities. This role works collaboratively in a team-oriented environment.
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 DC office, with a minimum of six days per month in the office. Exceptional remote candidates may be considered as well.
NORC’s Health Sciences staff produce rich data on social priorities including child development and healthy aging, the uses of electronic clinical data in research, and the applications and effectiveness of health information technology.
The Health Sciences team is versatile and experienced in data acquisition, management, technical assistance, and analysis; the use of information technology in health care; and numerous data collection methods. Our track record of leadership and innovation includes the design and management of large-scale surveys, including extensive experience collecting biomeasures.
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Collect, clean, transform, validate, and harmonize data from a variety of sources.
-
Identify trends, patterns, and data quality issues, and communicate findings and recommendations to project teams and stakeholders.
-
Develop reports, dashboards, tables, charts, and visualizations.
-
Create, document, manage, and maintain databases, data systems, and data dictionaries.
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Support data storage optimization and data management procedures.
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Collaborate with research teams, project leaders, and clients to understand analytical needs and support project objectives.
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Contribute to proposal development activities, including drafting technical or analytical sections.
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Bachelor’s degree in one of the following fields: quantitative social sciences, public health, statistics, biostatistics, health informatics, math, data science, or computer science, or related field required. Advanced degree preferred.
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Proficiency with data management and data processing.
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4 years of experience in positions of increasing responsibility, working with large data sets and conducting statistical/analytic programming, preferably working with large data sets
-
Strong foundation in areas of statistics, mathematics, and data science.
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Advanced programming skills in SAS are required, including experience with SAS macros
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Additional experience with other statistical packages and database tools such as SQL, Python, R, Tableau, Hadoop, Hive, MapReduce and/or other large data systems is welcome but not essential.
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Prior work with healthcare or administrative claims data is strongly preferred.
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Strong skills in problem solving and quantitative analysis are required. Able to organize and prioritize work assignments to meet project needs.
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Outstanding interpersonal and critical reasoning skills.
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Strong written and verbal communication including strong technical writing skills.
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Strong data visualization/presentation skills. Able to explain technology, techniques, and approaches to others.
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Proficiency with MS Office software.
Please include a Resume and Cover Letter when applying. Candidates should be prepared to provide professional references upon request.
The pay range for this position is $90,000-$104,000
This position is classified as regular. Regular staff are eligible for NORC’s comprehensive benefits program. Benefits include, but are not limited to:
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Generously subsidized health insurance, effective on the first day of employment
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Dental and vision insurance
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A defined contribution retirement program, along with a separate voluntary 403(b) retirement program
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Group life insurance, long-term and short-term disability insurance
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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.
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.
Advertised: September 24, 2026 Central Daylight Time Applications close:
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
SALARY AND BENEFITS: The pay range for this position is $90,000-$104,000 This position is classified as regular. Regular staff are eligible for NORC’s comprehensive benefits program. Benefits include, but are not limited to:
- Location & working pattern
Chicago - 300 E Randolph St
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 DC office, with a minimum of six days per month in the office. Exceptional remote candidates may be considered as well. DEPARTMENT: Health Sciences Research
- Work authorization
The position is responsible for importing, cleaning, standardizing, transforming, and validating data, identifying data quality issues, and developing reports and visualizations. The Data Scientist I may also support data management processes, and proposal development activities. This role works collaboratively in a team-oriented environment. 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 DC office, with a minimum of six days per month in the office. Exceptional remote candidates may be considered as well.