SAS Data Scientist I – Health Data Research - DC

NORC at the University of Chicago

Washington (District of Columbia)

Hybrid

USD 90,000 - 104,000

Full time

46 hours ago
Be an early applicant
Application generator

Don’t send a generic resume — generate a resume and cover letter tailored to this exact role.

Get past ATS filters

Benefits offered by this job

Health insurance
Dental and vision insurance
403(b) retirement program
Paid time off & holidays
Tuition assistance
Employee Assistance Program (EAP)

Job summary

NORC at the University of Chicago is seeking a Data Scientist I to join the Health Sciences Department. The role focuses on hospital discharge data processing across states, data harmonization, and producing reports and visualizations.

Proficiency in SAS is required; R or Python knowledge is welcome. Hybrid work in DC or Chicago with six in-office days per month is expected. Strong documentation and collaboration are essential.

Qualifications

  • Bachelor’s degree in quantitative social sciences, public health, statistics, biostatistics, health informatics, math, data science, or computer science (or related field) required.
  • Advanced degree preferred.
  • 4 years of experience with large data sets and statistical/analytic programming.
  • Strong foundation in statistics, mathematics, and data science.
  • Advanced SAS proficiency, including SAS macros.
  • Experience with SQL, Python, R, Tableau, Hadoop, Hive, MapReduce or other large data systems is welcome but not essential.
  • Prior work with healthcare or administrative claims data is strongly preferred.
  • Strong problem solving, quantitative analysis, and communication skills.

Responsibilities

  • Collect, clean, transform, validate, and harmonize data from diverse sources.
  • Identify trends, data quality issues, and communicate findings to project teams.
  • Develop reports, dashboards, tables, charts, and visualizations.
  • Create and maintain databases, data systems, and data dictionaries.
  • Support data storage optimization and data management procedures.
  • Collaborate with research teams and clients to understand analytical needs.
  • Contribute to proposal development with technical or analytical sections.

Skills

SAS
SAS macros
Data management
Statistical programming
Data analysis
SQL
Python
R
Tableau
Hadoop
Hive

Education

Bachelor's degree in quantitative fields
Advanced degree preferred

Tools

SQL
Python
R
Tableau
Hadoop
Hive

Job description

SAS Data Scientist I – Health Data Research - DC
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.

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 datamanagement processes, and proposal development activities. This role works collaboratively ina 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.

DEPARTMENT: Health Sciences Research

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.

RESPONSIBILITIES:

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.

Support data storage optimization and data management procedures.

Collaborate with research teams, project leaders, and clients to understand analytical needs and support project objectives.

Contribute to proposal development activities, including drafting technical or analytical sections.

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.

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.

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.

Strong skills in problem solving and quantitative analysis are required. Able to organize and prioritize work assignments to meet project needs.

Outstanding interpersonal and critical reasoning skills.

Strong written and verbal communication including strong technical writing skills.

Strong data visualization/presentation skills. Able to explain technology, techniques, and approaches to others.

Proficiency with MS Office software.

SALARY AND BENEFITS:

The pay range for this position is $90,000-$104,000

  • 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.

Advertised: September 24, 2026 Eastern Daylight TimeApplications close: Open until filled

Get your free, confidential resume review.

or drag and drop your file here.

Similar jobs

Similar jobs worth comparing

SAS Data Scientist I - Health Data Research - DC
SAS Data Scientist I - Health Data Research - DC

National Opinion Research Center - NORC • Washington

Hybrid
USD 90,000 - 104,000
Health insurance
Dental & Vision insurance
Retirement plan
+3
SAS Data Scientist I - Health Data Research
SAS Data Scientist I - Health Data Research

National Opinion Research Center - NORC • Chicago (IL)

Hybrid
USD 90,000 - 104,000
Health insurance
401(k)/403(b)
Paid time off
+2
SAS Data Scientist I – Health Data Research
SAS Data Scientist I – Health Data Research

NORC at the University of Chicago • Chicago (IL)

Hybrid
USD 90,000 - 104,000
SAS Data Analyst I or II – Health Data Research
SAS Data Analyst I or II – Health Data Research

NORC at the University of Chicago • Chicago (IL)

Hybrid
USD 62,000 - 77,000
Generously subsidized health insurance
Dental and vision insurance
403(b) retirement program
+3
SAS Data Analyst I or II – Health Data Research - DC
SAS Data Analyst I or II – Health Data Research - DC

NORC at the University of Chicago • Washington

Hybrid
USD 62,000 - 77,000
Health insurance
Dental insurance
Vision insurance
+4
SAS Data Analyst I or II - Health Data Research - DC
SAS Data Analyst I or II - Health Data Research - DC

National Opinion Research Center - NORC • Washington

Hybrid
USD 62,000 - 77,000
Health insurance
Dental & vision insurance
Retirement program
+4
SAS Data Analyst I or II - Health Data Research
SAS Data Analyst I or II - Health Data Research

National Opinion Research Center - NORC • Chicago (IL)

Hybrid
USD 62,000 - 77,000
Health insurance
Dental and vision insurance
Retirement plan
+1
SAS Data Scientist I – Health Data Research
SAS Data Scientist I – Health Data Research

DataJobs • Chicago (IL)

Hybrid
USD 90,000 - 104,000
Health insurance
Retirement plan
Paid time off
+1
Data Scientist I supporting social science research, analytics, and AI initiatives
Data Scientist I supporting social science research, analytics, and AI initiatives

NORC at the University of Chicago • Chicago (IL)

Hybrid
USD 90,000 - 100,000
Health insurance
Dental and vision insurance
Retirement plan (403(b))
+2
Statistician Researcher - Washington DC Office
Statistician Researcher - Washington DC Office

NORC at the University of Chicago • Washington, Northern (KY)

Hybrid
USD 130,000 - 140,000
Health insurance
Paid time off
Tuition assistance
+2