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Director Statistical Programming Jobs in Raleigh, NC

Korn Ferry

Director, Data Sciences

Raleigh, NC · On-site

D. in Data Science, Computer Science, Statistics, or a related field; MBA or additional business ... product, engineering, and business teams. • Proficiency in multiple programming languages ...

Forge Nano

Director of Quality Assurance

Raleigh, NC · On-site

Drive enterprise-level quality initiatives across Engineering, Operations, and Supply Chain to ... Implement advanced analytics, real-time dashboards, and statistical tools to enable predictive ...

Forge Nano

Director of Quality Assurance

Raleigh, NC · On-site

Drive enterprise-level quality initiatives across Engineering, Operations, and Supply Chain to ... Implement advanced analytics, real-time dashboards, and statistical tools to enable predictive ...

Tekni-Plex

Process Engineer I

Clayton, NC · On-site

This will require the individual be able to manage projects without direct report of the team ... Select and utilize a wide range of appropriate statistical methodologies and techniques.

Tekni-Plex

Process Engineer I

Clayton, NC · On-site

This will require the individual be able to manage projects without direct report of the team ... Select and utilize a wide range of appropriate statistical methodologies and techniques.

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Showing results 21-40

All JobsStatistical Programming JobsDirector Statistical Programming JobsDirector Statistical Programming Jobs in Raleigh, NC

Director Statistical Programming information

See Raleigh, NC salary details

$149.2K

$272.3K

$334.4K

How much do director statistical programming jobs pay per year?

As of Aug 19, 2026, the average yearly pay for director statistical programming in Raleigh, NC is $272,326.00, according to ZipRecruiter salary data. Most workers in this role earn between $253,200.00 and $313,500.00 per year, depending on experience, location, and employer.

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.

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.

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.

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.
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Director Statistical Programming jobs near you
Infographic showing various Director Statistical Programming job openings in Raleigh, NC as of August 2026, with employment types broken down into 2% Internship, and 98% Full Time. Highlights an 93% In-person, 2% Hybrid, and 5% Remote job distribution, with an average salary of $272,326 per year, or $130.9 per hour.

Director, Data Sciences

Korn Ferry

Raleigh, NC • On-site

Full-time

Re-posted 9 days ago

Job description

Job Summary:
Korn Ferry is part of RELX Inc., a global provider of information-based analytics and decision tools. The Director, Data Sciences is responsible for raising data-driven decision making within a business unit through team leadership and strategic project execution.
Responsibilities:
• Strategic Leadership: Define and execute the data science vision and roadmap aligned with business objectives and technological advancement opportunities.
• Team Management: Build, lead, and mentor a high-performing team of data scientists, fostering a culture of innovation, collaboration, and continuous learning.
• Advanced Research Direction: Direct cutting-edge research initiatives in NLP, LLMs, and other emerging AI technologies to maintain competitive advantage. Champion innovation by staying current with the latest trends and techniques in data science and allocating resources to promising new approaches.
• Machine Learning and AI Solutions: Lead the development and implementation of machine learning algorithms and AI solutions to solve complex business problems.
• Data Analysis and Modeling: Oversee advanced data analysis, modeling, and machine learning to develop predictive and prescriptive models that drive business outcomes.
• Data Collection and Preparation: Establish protocols for collecting, cleaning, and preprocessing large datasets, ensuring data quality and reliability.
• Data Visualization Strategy: Guide the creation of informative and compelling data visualizations to communicate results and insights to stakeholders effectively.
• Cross-functional Collaboration: Partner with executive leadership and cross-functional teams to identify strategic opportunities and address business challenges.
• Model Deployment and MLOps: Oversee the deployment of machine learning models into production environments, ensuring scalability and reliability.
• Documentation Standards: Establish comprehensive documentation standards for projects, models, and code for knowledge sharing and reproducibility.
• Stakeholder Management: Communicate the value and impact of data science initiatives to C-suite executives and business stakeholders.
• Budget and Resource Management: Manage departmental budget, resource allocation, and infrastructure needs for data science operations.
• Ethical AI Governance: Develop and enforce ethical guidelines and best practices for AI development and deployment.
Qualifications:
Required:
• Bachelors, Masters or Ph.D. in Data Science, Computer Science, Statistics, or a related field; MBA or additional business education is a plus.
• 10+ years of progressive experience in data science, machine learning, or AI, with at least 8 years in leadership positions.
• Demonstrated experience in managing and scaling data science teams of 15+ professionals.
• Proven record of delivering high-impact AI and ML solutions that have driven significant business value.
• Deep expertise with generative AI models and techniques (e.g., LLMs, GANs) for content generation and their practical applications.
• Advanced knowledge of statistical analysis, machine learning algorithms, and data manipulation techniques at enterprise scale.
• Experience in setting technical direction and implementing MLOps practices for model deployment and monitoring.
• Strong business acumen with the ability to translate complex technical concepts into business value.
• Excellent communication and leadership skills, with experience presenting to executive leadership.
• Experience working in a global or multicultural environment.
• Record of successful collaboration with product, engineering, and business teams.
• Proficiency in multiple programming languages relevant to data science (Python, R, etc.) and big data technologies.
Company:
Korn Ferry is a global consulting firm that powers performance. Founded in 1969, the company is headquartered in Los Angeles, CA, US, , with a team of 10001+ employees. The company is currently Late Stage.

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