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Clinical Data Programmer Jobs in Chicago, IL (NOW HIRING)

Manager, Data Engineering

Chicago, IL · On-site

$160K - $190K/yr

Working in partnership with independent practice owners and clinicians, the team is united with a ... The Manager, Data Engineering leads the design, delivery, and reliability of TAG's enterprise data ...

Manager, Data Engineering

Chicago, IL · On-site

$160K - $190K/yr

Working in partnership with independent practice owners and clinicians, the team is united with a ... The Manager, Data Engineering leads the design, delivery, and reliability of TAG's enterprise data ...

Director Clinical Affairs

Mundelein, IL · On-site

$153K - $202K/yr

Proven ability authoring IRB/Ethics submissions, ICFs, and clinical protocols * 7+ years cross-functional program management across clinical, engineering, and regulatory * Strong clinical data ...

New

Senior Technical Product Manager

Chicago, IL · On-site

$130K - $172K/yr

The software we're building is the culmination of input from scientists, clinicians, pathologists, engineers, data scientists, and some of the top academic oncology centers in the world. We're ...

Senior Technical Product Manager

Chicago, IL · On-site

$130K - $172K/yr

The software we're building is the culmination of input from scientists, clinicians, pathologists, engineers, data scientists, and some of the top academic oncology centers in the world. We're ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

... Python Developer with expertise in building and maintaining scalable data and machine learning ... Alpha Consulting Corp. has been exceeding expectations in the IT, pharmaceutical, and clinical ...

... clinical performance in mind. Collective expertise allows us to provide quality products and ... POSITION SUMMARY The Data Engineering & Platform Manager is AirLife's technical owner of the ...

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate ... Clinical data exchange and coding standards, including HL7, FHIR, and ICD * Data operations (ie ...

New

The software we're building is the culmination of input from scientists, clinicians, pathologists, engineers, data scientists, and some of the top academic oncology centers in the world. We're ...

Showing results 41-60

Clinical Data Programmer information

See Chicago, IL salary details

$71.6K

$122.5K

$218.4K

How much do clinical data programmer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for clinical data programmer in Chicago, IL is $122,548.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,400.00 and $185,400.00 per year, depending on experience, location, and employer.

What is a clinical data programmer?

Clinical Data Programmers are professionals who manage, process, and analyze clinical trial data using specialized programming languages and software. They are responsible for creating and validating programs that ensure data collected during clinical studies is accurate, consistent, and ready for statistical analysis. Their work is essential to the integrity of clinical research, enabling regulatory submissions and supporting medical decision-making. Clinical Data Programmers often work closely with clinical data managers, statisticians, and other clinical research professionals.

How does a clinical data programmer typically collaborate with clinical research teams during a study?

Clinical Data Programmers work closely with clinical research associates, data managers, biostatisticians, and project managers to ensure the integrity and accuracy of clinical trial data. They often participate in study setup meetings, provide input on case report form (CRF) design, and develop programs for data validation and cleaning. Regular communication is essential to resolve any discrepancies or issues that arise during data collection and to implement mid-study changes. This collaborative environment ensures that the data is reliable and meets regulatory requirements.

What are the key skills and qualifications needed to thrive as a clinical data programmer, and why are they important?

To thrive as a Clinical Data Programmer, you need a strong background in programming (especially SAS or SQL), understanding of clinical trial data, and a degree in life sciences, statistics, or a related field. Familiarity with electronic data capture systems, CDISC standards (SDTM/ADaM), and regulatory requirements is typically expected, and relevant certifications can be advantageous. Attention to detail, analytical thinking, and effective communication are essential soft skills for ensuring data integrity and collaborating with cross-functional teams. These skills and qualifications are vital for producing accurate, regulatory-compliant datasets that support clinical research and successful drug development.

What is the difference between Clinical Data Programmer vs Clinical Data Analyst?

AspectClinical Data ProgrammerClinical Data Analyst
Required CredentialsBachelor's in Life Sciences, Biostatistics, or related field; knowledge of programming languages like SAS or RBachelor's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentClinical trial data management teams, often in CROs or pharmaceutical companiesData analysis teams, often in healthcare or research organizations
Employer & Industry UsageUsed in clinical research to prepare datasets for analysisUsed to interpret data, generate reports, and support decision-making

While both roles involve working with clinical data, Clinical Data Programmers focus on coding and preparing datasets, whereas Clinical Data Analysts interpret data and generate insights. Understanding these differences helps in choosing the right career path or job search focus.

What are popular job titles related to Clinical Data Programmer jobs in Chicago, IL?

For Clinical Data Programmer jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Clinical Data Programmer jobs in Chicago, IL look for?

The top searched job categories for Clinical Data Programmer jobs in Chicago, IL are:

Infographic showing various Clinical Data Programmer job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $122,548 per year, or $58.9 per hour.

Manager, Data Engineering

The Aspen Group

Chicago, IL • On-site

$160K - $190K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 5 days ago


Job description

The Aspen Group (TAG) is one of the largest and most trusted retail healthcare business support organizations in the U.S. and has supported over 20,000 healthcare professionals and team members with close to 1,500 health and wellness offices across 48 states in four distinct categories: dental care, urgent care, medical aesthetics, and animal health. Working in partnership with independent practice owners and clinicians, the team is united with a single purpose: to prove that healthcare can be better and smarter for everyone. TAG provides a comprehensive suite of centralized business support services that power the impact of five consumer-facing businesses: Aspen Dental, ClearChoice Dental Implant Centers, WellNow Urgent Care, Chapter Aesthetic Studio, and Lovet. Each brand has access to a deep community of experts, tools and resources to grow their practices, and an unwavering commitment to delivering high-quality consumer healthcare experiences at scale.
As a reflection of our current needs and planned growth we are very pleased to offer a new opportunity to join our dedicated team as a Manager, Data Engineering.
Job Description
The Manager, Data Engineering leads the design, delivery, and reliability of TAG's enterprise data platform across our multi-brand environment. It's a hands-on leadership role covering people management, architecture, platform engineering, and operations.
The right person can lead a team of Data Engineers and still do the work themselves - technical design, code reviews, incident management, platform modernization, and engineering standards. They'll also drive AI-assisted development, automation, and cloud cost optimization to keep the team productive and the platform scalable.
Key Responsibilities
Leadership & Delivery
  • Lead, mentor, and grow a team of Data Engineers across multiple domains.
  • Run sprint planning, backlog prioritization, and delivery.
  • Balance strategic work, operational support, and technical debt.
  • Partner with business, analytics, and technology leaders to align priorities.

Data Platform & Engineering
  • Own the architecture and delivery of scalable data pipelines, semantic models, and data products.
  • Set standards for data modeling, integration, and platform architecture across dbt, Airflow/Cloud Composer, BigQuery, Terraform, and CI/CD.
  • Lead design reviews, evaluate new technologies, and drive platform modernization.

AI & Engineering Excellence
  • Lead AI-assisted development (Claude AI/Gemini Enterprise) across code reviews, documentation, testing, and automation.
  • Set standards and governance for responsible use of AI-generated code.

Reliability, Operations & Cloud
  • Own data platform reliability, monitoring, incident response, and root cause analysis.
  • Establish SLAs, operational metrics, and on-call processes.
  • Ensure compliance with data governance, security, privacy, and access management.
  • Optimize performance, scalability, and cost across GCP, including BigQuery consumption, storage, and slot utilization.

Qualifications
Required Experience
  • Bachelor's degree in computer science, Engineering, Information Systems, or related field. GCP Professional Data Engineer Certification a plus.
  • 7+ years of Data Engineering experience with modern cloud data platforms.
  • 3+ years of leadership experience managing Data Engineering teams.

Technical Skills
  • Strong expertise in SQL, Python, dbt, and Airflow/Cloud Composer.
  • Hands-on experience with Google Cloud Platform, including BigQuery, GCS, Pub/Sub, Dataflow, Cloud Functions, and Vertex AI.
  • Experience with Infrastructure as Code (Terraform) and CI/CD automation.
  • Strong understanding of data warehousing, semantic modeling, data quality, and governance across batch, streaming, and event-driven architectures.

Leadership Competencies
  • Strong communication and stakeholder management skills.
  • Ability to translate business requirements into scalable technical solutions.
  • Experience leading cross-functional initiatives and influencing technical direction.
  • Track record of building strong teams and a solid engineering culture.

*This role is onsite 4 days/week in our Chicago office (Fulton Market District)
Annual Salary Range: $160,000-$190,000/year, with a generous benefits package that includes paid time off, health, dental, vision, and 401(k) savings plan with match.
If you are an applicant residing in California, please view our privacy policy here: https://careers.aspendental.com/us/en/tag-privacy-policy-for-california-employees