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How much do associate director sas statistical programming jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for associate director sas statistical programming in the United States is $57.37, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $85.34 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Associate Director SAS Statistical Programming, and why are they important?

To thrive as an Associate Director SAS Statistical Programming, you need advanced expertise in statistical programming, clinical data analysis, and a degree in statistics, mathematics, or a related field. Proficiency in SAS programming, CDISC standards (SDTM/ADaM), and experience with regulatory submission tools are typically required, along with relevant certifications. Strong leadership, project management, and communication skills set standout professionals apart in this role. These competencies ensure high-quality data deliverables, regulatory compliance, and effective team coordination in clinical research settings.

What are the typical challenges faced by an Associate Director of SAS Statistical Programming when managing project timelines and deliverables?

An Associate Director of SAS Statistical Programming often manages multiple projects simultaneously, each with its own set of deadlines and requirements. One common challenge is balancing resource allocation while ensuring high-quality, compliant deliverables within tight timelines. Additionally, coordinating across cross-functional teams—such as biostatistics, data management, and clinical operations—requires strong communication and leadership skills. Staying updated on evolving regulatory standards and mentoring junior programmers are also key responsibilities that add to the complexity of the role.

What does an Associate Director of SAS Statistical Programming do?

An Associate Director of SAS Statistical Programming leads teams responsible for the design, development, and validation of statistical programming deliverables, primarily using SAS software, in clinical research or pharmaceutical settings. They oversee project timelines, ensure compliance with regulatory guidelines, and collaborate with biostatisticians, data managers, and other cross-functional teams. Additionally, they mentor programming staff, develop standard operating procedures, and contribute to process improvements to support successful submission of clinical study data.

What is the difference between Associate Director Sas Statistical Programming vs Senior SAS Programmer?

AspectAssociate Director Sas Statistical ProgrammingSenior SAS Programmer
ResponsibilitiesOversees statistical programming teams, manages project timelines, and ensures regulatory complianceDevelops and validates SAS programs, supports statistical analyses, and maintains code quality
Required CredentialsBachelor's or Master’s in Biostatistics, Statistics, or related field; extensive SAS experience; leadership skillsBachelor's or Master’s in related field; strong SAS programming skills; relevant industry experience
Work EnvironmentLeadership role within clinical or pharmaceutical companies, often in cross-functional teamsHands-on programming within clinical research teams, often in CROs or pharma companies

The main difference is that the Associate Director Sas Statistical Programming holds a leadership position overseeing teams and projects, while the Senior SAS Programmer focuses on hands-on programming tasks. Both roles require strong SAS skills and industry experience, but the associate director role involves strategic oversight and team management.

Infographic showing various Associate Director Sas Statistical Programming job openings in the United States as of May 2026, with employment types broken down into 89% Full Time, 4% Part Time, and 7% Contract. Highlights an 85% In-person, and 15% Remote job distribution, with an average salary of $119,333 per year, or $57.4 per hour.
Associate Director, Statistical Programming

Associate Director, Statistical Programming

Nuvalent, Inc.

Cambridge, MA • Remote

Other

Posted 5 days ago

Job description

The Role:

Reporting to the Senior Director, Statistical Programming, the Associate Director, Statistical Programming will be responsible for implementing statistical analyses using SAS and performing quality review of SAS programs and deliverables for in-house analyses as well as out-sourced programming deliverables. This individual will also perform programming analyses to generate ad-hoc requests for publications and presentations.

This is a remote position that will work closely with Biostatistics, Data Management, Clinical Operations, Regulatory, Global Pharmacovigilance, and other related disciplines, as well as CROs.

Responsibilities:

  • Function as lead programmer to produce and/or validate tables, listings, figures, and analysis datasets in response to regulatory requests, publication requests, and ad-hoc analyses; write specifications to describe programming needs.
  • Develop/review TFL shells, SDTM and ADaM specifications in collaboration with biostatisticians and other clinical development colleagues.
  • Work closely with Data Management and Biostatistics to ensure final databases, analyses, and reports are accurate.
  • Partner with or oversee CROs or Programming vendors to perform the tasks described above.
  • Ensure the proper collection, management, and documentation of clinical trial data according to regulatory requirements.
  • Manages project timelines and schedules of specific phases of projects and collaborates with internal personnel and outside customer representatives.
  • Identify problems and develop global tools that increase the efficiency and capacity of the Statistical Programming group (e.g., macros or graphical user interface applications).

Competencies Include:

  •  Adaptability/Flexibility - The ability to adapt to working effectively within a variety of situations; adapts enthusiastically to organizational change and to changes in job demands.
  • Communication and Teamwork - Ability to effectively express ideas in written and oral context; to work co-operatively with others; genuine desire to be a part of a team and contribute to organizational and team goals.
  • Problem Solving - Ability to understand a situation or problem by breaking it down into smaller pieces using a systematic approach and to identify patterns and connections between situations that are not obviously related.
  • Relationship Building - Builds productive working relationships and effectively communicates across a diverse spectrum of people.
  • Organizational and results orientation - Ability to plan and handle multiple responsibilities simultaneously and still meet high quality and timeliness standards under pressure.

 Qualifications:

  • Master's Degree in statistics, mathematics, computer science, or related scientific/medical field.
  • 8+ years of (SAS) statistical programming experience in a clinical trial setting (industry/CRO).
  • Advanced SAS programming skills - procedures and options commonly used in clinical trials. reporting, including Macro language, BASE SAS, SAS/STAT, and SAS/GRAPH, validation/QC, experience generating listings, tables, figures.
  • Hands-on knowledge of CDISC SDTM and ADaM models and transforming raw data into these standards.
  • In-depth understanding of CDISC standards including SDTM and ADaM models and extensive experience of their implementation in clinical trials.
  • Familiar with regulatory guidelines (FDA, EMA, ICH) related to clinical trials, statistics and data handling in clinical development setting, and advanced knowledge of submission requirements and standards.
  • Experience with outsourcing programming activities and overseeing services provided by CROs and contractors.
  • Advanced understanding of statistical concepts in support of clinical data analysis.
  • Advanced knowledge of programming standards and processes.
  • Oncology experience is required.
  • Skilled at performing quality control checks of SAS code and outputs produced by other Statistical Programmers.

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