ZipRecruiter

Log In

1

Director Statistical Programming Jobs in Illinois

Tempus

Director, Biostatistics

Chicago, IL · On-site

$190K - $260K/yr

The Director of Biostatistics builds and maintains strong collaborations with other teams across ... Experience working with other groups involved in clinical research, such as Statistical Programmers ...

Tempus

Director, Biostatistics

Chicago, IL

$190K - $260K/yr

The Director of Biostatistics builds and maintains strong collaborations with other teams across ... Experience working with other groups involved in clinical research, such as Statistical Programmers ...

Kemper

Data Science Manager

Chicago, IL · Hybrid

Our success is a direct reflection of the talented and diverse people who make a positive ... PhD in Mathematics, Statistics, Engineering, or other STEM fields preferred with 4-6 years of ...

Kemper

Data Science Manager

Bloomington, IL · Hybrid

Our success is a direct reflection of the talented and diverse people who make a positive ... PhD in Mathematics, Statistics, Engineering, or other STEM fields preferred with 4-6 years of ...

previous pagenext page

Showing results 21-40

All JobsStatistical Programming JobsDirector Statistical Programming JobsDirector Statistical Programming Jobs in Illinois

Director Statistical Programming information

See Illinois salary details

$148.7K

$271.5K

$333.3K

How much do director statistical programming jobs pay per year?

As of Aug 10, 2026, the average yearly pay for director statistical programming in Illinois is $271,470.00, according to ZipRecruiter salary data. Most workers in this role earn between $252,400.00 and $312,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a director statistical programming?

To thrive as a Director of Statistical Programming, you need advanced expertise in statistical analysis, programming languages such as SAS or R, and a strong background in clinical trial data, typically supported by a degree in statistics, mathematics, or a related field. Familiarity with regulatory submission processes, CDISC standards, and project management tools is essential, as are relevant certifications like SAS Certified Professional. Leadership, effective communication, and strategic thinking are key soft skills for managing teams and collaborating across departments. These skills ensure high-quality data outputs, regulatory compliance, and successful execution of complex clinical development projects.

What is a director statistical programming?

The job of a director of statistical programming oversees the development and implementation of SAS programs to produce statistical analysis datasets. In this career, your responsibilities include managing the team that generates tables and graphs using the SAS programs for applications such as clinical studies. Other duties include participating in the planning and review of statistical analysis and studying reports, abstracts, and manuscripts as required. You collaborate with project leads to contribute to department operations and standards, such as CDISC for clinical research.

How does a director statistical programming typically collaborate with cross-functional teams in a pharmaceutical or biotech company?

A Director of Statistical Programming regularly works with biostatistics, clinical data management, regulatory affairs, and medical writing teams to ensure that statistical deliverables meet project timelines and regulatory requirements. They coordinate programming efforts across multiple studies, provide leadership and mentorship to programming staff, and help resolve technical or resource-related challenges. Effective collaboration is essential to streamline workflows, maintain data integrity, and ensure clear communication of statistical results within the organization.

What does a director statistical programming do?

A Director of Statistical Programming oversees teams responsible for the programming and analysis of clinical trial data, ensuring the accuracy and integrity of statistical outputs. They set departmental strategies, manage resources, and ensure compliance with regulatory requirements and industry standards. This role also involves collaborating with other departments, such as biostatistics and clinical operations, to support the successful delivery of statistical analyses for drug development and regulatory submissions. They play a key leadership role in mentoring staff and advancing programming processes and technologies.
More about Director Statistical Programming jobs
What are the most commonly searched types of Statistical Programming jobs in Illinois? The most popular types of Statistical Programming jobs in Illinois are:
What are popular job titles related to Director Statistical Programming jobs in Illinois? For Director Statistical Programming jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Director Statistical Programming jobs in Illinois look for? The top searched job categories for Director Statistical Programming jobs in Illinois are:
What cities in Illinois are hiring for Director Statistical Programming jobs? Cities in Illinois with the most Director Statistical Programming job openings:
Director Statistical Programming jobs near you
Infographic showing various Director Statistical Programming job openings in Illinois as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, 4% Temporary, and 1% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $271,470 per year, or $130.5 per hour.

Senior Director Data Science

Health Care Service Corporation

Chicago, IL • On-site

Full-time

Re-posted 5 hours ago

Job description

Job Summary:
Health Care Service Corporation (HCSC) is a purpose-driven company that invests in the professional development of its employees. The Senior Director of Data Science is responsible for planning, managing, and controlling department activities that utilize advanced mathematical and statistical concepts to analyze data and solve business problems, while leading a team of analysts.
Responsibilities:
• Planning, managing and controlling the activities of the department that provides advanced mathematical and statistical concepts and theories to analyze and collect data and construct solutions to business problems.
• Constructing predictive models, algorithms and probability engines to support data analysis or product functions; verifying model and algorithm effectiveness based on real-world results.
• Leading initiatives to analyze complex business problems and issues using data from internal and external sources; bringing expertise or identifying subject matter experts in support of multi-functional efforts to identify, interpret and produce recommendations and plans based on company and external data analysis.
• Advising business by providing data-based strategic direction to identify and address business issues and opportunities.
• Planning, managing and leading team of analysts that provides advanced mathematical and statistical concepts and theories to analyze and collect data and construct solutions to business problems.
Qualifications:
Required:
• Bachelor’s degree and 7 years of work experience in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field; OR 2 or more advanced degrees and 6 years of work experience in a in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field; OR Ph.D. and 4 years of work experience in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field; OR 11 years of work experience in an advanced mathematical, statistical , engineering, physics or related quantitative field.
• Leadership and/or management experience.
• 4 years of management experience.
• Learning and growth mindset.
• Customer-focused.
• Interpersonal, verbal and written communication skills.
• Experience in at least five of the following six areas: 1) data analysis and relational-style query languages; 2) machine learning and/or statistical modeling; 3) data visualization; 4) a high-level programming language; 5) distributed computing. 6) understanding of healthcare.
• Microsoft applications including Access, Excel, Word and Power Point.
• A track record of independently delivering or leading the delivery of a complex analytics or data science project.
• Mentoring, managing, or leading junior analytics or data science staff.
• Overseeing the annual budget and allocating resources for various projects and operational needs.
• Translating needs and initiatives into compelling business cases.
• Conducting cost-benefit analyses to justify investments and ensure ROI.
Preferred:
• Masters or Ph.D. in a quantitative field, or Bachelor’s degree with healthcare experience.
• Actuarial Credentials
Company:
Health Care Service Corporation is a customer-owned health insurance company. Founded in 1936, the company is headquartered in Chicago, USA, with a team of 10001+ employees. The company is currently Late Stage.

Apply