2

Remote Director Statistical Programming Jobs in Arizona

... Engineer with direct exposure to heat treating processes qualification, equipment qualification ... Knowledge and application of statistical analysis methods is preferred. * Excellent team building ...

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus.

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus.

next page

Showing results 1-20

Remote Director Statistical Programming information

What are the key skills and qualifications needed to thrive as a Remote Director Statistical Programming, and why are they important?

To thrive as a Remote Director Statistical Programming, you need advanced expertise in statistical programming (typically SAS and R), a strong background in biostatistics or related fields, and significant experience in clinical trial data analysis, usually supported by a relevant degree. Mastery of programming tools, regulatory submission standards (such as CDISC SDTM/ADaM), and familiarity with data management systems are crucial, along with relevant certifications being advantageous. Leadership, strategic thinking, and exceptional communication skills help you effectively manage teams and collaborate across global, cross-functional groups. These skills ensure accurate, regulatory-compliant analyses that drive successful clinical development and organizational goals.

How does a Remote Director of Statistical Programming typically collaborate with cross-functional teams while managing geographically dispersed staff?

A Remote Director of Statistical Programming often leads a team of programmers who may be distributed across different locations and time zones. Collaboration with cross-functional teams—such as biostatisticians, data managers, and clinical operations—relies heavily on clear communication through virtual meetings, shared project management tools, and regular status updates. The director is responsible for aligning programming deliverables with project timelines, ensuring quality standards, and fostering a cohesive team environment despite the remote setup. Strong leadership and proactive engagement are essential to overcome challenges like time zone differences and maintain alignment with overall project goals.

What is a Remote Director of Statistical Programming?

A Remote Director of Statistical Programming is a senior-level professional who oversees statistical programming teams and projects, often within the pharmaceutical, biotechnology, or clinical research industries, while working remotely. They are responsible for ensuring the accuracy and efficiency of statistical data analysis and reporting, particularly for clinical trials and regulatory submissions. This role involves managing programmers, developing programming standards, ensuring compliance with regulatory requirements, and collaborating closely with statisticians, data managers, and project leaders. Working remotely, they utilize digital tools to lead distributed teams and maintain high-quality data deliverables. Their work is critical in transforming raw clinical data into meaningful insights for decision-making and regulatory approval.

What is the difference between Remote Director Statistical Programming vs Remote Statistical Programming Manager?

AspectRemote Director Statistical ProgrammingRemote Statistical Programming Manager
CredentialsTypically requires advanced degrees (e.g., MS, PhD) and extensive experienceRequires similar degrees and experience, but slightly less senior
Work EnvironmentLeadership role overseeing multiple teams, strategic planningManages teams directly, focuses on project execution
Industry UsageCommon in large pharma and biotech companiesFound in similar settings, often as a mid-level leadership role
Search & Comparison IntentOften searched by senior professionals or recruitersMore frequently searched by mid-level managers or job seekers

The Remote Director Statistical Programming is a senior leadership role overseeing multiple teams and strategic initiatives, requiring extensive experience and advanced degrees. In contrast, the Remote Statistical Programming Manager focuses on managing project teams and day-to-day operations. Both roles are vital in pharmaceutical and biotech industries, but they differ mainly in seniority and scope of responsibilities.

What are popular job titles related to Remote Director Statistical Programming jobs in Arizona? For Remote Director Statistical Programming jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Remote Director Statistical Programming jobs in Arizona look for? The top searched job categories for Remote Director Statistical Programming jobs in Arizona are:
What cities in Arizona are hiring for Remote Director Statistical Programming jobs? Cities in Arizona with the most Remote Director Statistical Programming job openings:

Director - Responsible AI, Governance & Compliance - AIRLHV

NavitasPartners

Mesa, AZ • On-site, Remote

Other

Posted 3 days ago


Job description

Director - Responsible AI, Governance & Compliance 

Location: US / Canada (Remote/Hybrid) 
Type: Contract / Full-Time 

Overview: 

We are looking for a Director-level leader to drive Responsible AI, governance, and compliance across enterprise AI and data initiatives. 

Key Responsibilities: 

  • Lead enterprise AI governance strategy and implementation  
  • Establish frameworks for ethical AI, compliance, and regulatory alignment  
  • Oversee governance for AI/ML and GenAI deployments  
  • Collaborate with stakeholders across data, engineering, and business teams  

Required Skills: 

  • Deep expertise in AI governance, compliance, and regulatory frameworks  
  • Strong cloud exposure (AWS, Azure, GCP)  
  • Proven leadership in enterprise-scale AI programs  

Nice to Have / Coverage: 

  • Experience with enterprise data platforms (Databricks, Snowflake, Synapse, BigQuery)  
  • Understanding of ML/AI engineering and MLOps pipelines  
  • Expertise in GenAI governance, agentic AI oversight  
  • Alignment with cloud/data platform architecture strategies  

For more details reach at resumes@navitassols.com.