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Senior Manager Statistical Programming Jobs (NOW HIRING)

Gilead

Sr Manager, Statistical Programming

Foster City, CA · On-site

$169K - $219K/yr

We are in search of a Sr Manager, Statistical Programming to join our team! Statistical Programming- Analysis Programming: Statistical programmers work collaboratively with internal colleagues and ...

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Senior Manager Statistical Programming information

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How much do senior manager statistical programming jobs pay per year?

As of Jul 17, 2026, the average yearly pay for senior manager statistical programming in the United States is $99,008.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,000.00 and $107,000.00 per year, depending on experience, location, and employer.

What are Senior Manager Statistical Programming?

A Senior Manager Statistical Programming is a leadership role in the field of clinical research and biostatistics, typically within the pharmaceutical, biotechnology, or contract research organization (CRO) industries. This professional oversees teams of statistical programmers responsible for analyzing clinical trial data, ensuring data accuracy, and delivering high-quality statistical outputs for regulatory submissions. The role involves project management, resource allocation, mentoring staff, and collaborating with cross-functional teams to ensure compliance with regulatory standards and timelines.

What is the difference between Senior Manager Statistical Programming vs Statistical Programmer?

AspectSenior Manager Statistical ProgrammingStatistical Programmer
CredentialsBachelor's/Master's in Biostatistics, Computer Science, or related field; often with management experienceBachelor's or Master's in Biostatistics, Statistics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with cross-functional teamsPerforms data analysis, programming, and validation tasks under supervision
Employer & Industry UsagePharmaceutical, biotech companies, CROs, clinical researchPharmaceutical, biotech, clinical research organizations

The main difference is that Senior Manager Statistical Programming oversees teams and manages projects, while Statistical Programmers focus on executing data analysis and programming tasks. The senior role involves leadership responsibilities, whereas the programmer role is more technical and task-oriented.

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

To thrive as a Senior Manager Statistical Programming, you need expertise in biostatistics, programming languages like SAS or R, and experience with clinical trial data, typically supported by an advanced degree in a quantitative field. Familiarity with regulatory requirements (e.g., CDISC standards), clinical data management systems, and project management tools is essential. Strong leadership, communication, and problem-solving skills help you lead teams and liaise with cross-functional stakeholders. These skills ensure accurate, compliant data analyses and effective team management for successful clinical trial outcomes.

How does a Senior Manager Statistical Programming typically collaborate with cross-functional teams in clinical research projects?

A Senior Manager Statistical Programming plays a pivotal role in coordinating with biostatisticians, clinical data managers, and medical writers to ensure seamless data flow and analysis throughout clinical trials. They oversee programming teams to deliver statistical outputs, such as tables, listings, and figures, while maintaining compliance with regulatory standards. Regular meetings and clear communication are essential, as the Senior Manager must interpret project requirements and translate them into actionable programming tasks, ensuring timelines and quality standards are met. This collaborative environment fosters continuous learning and problem-solving, as cross-functional input is vital for addressing complex data challenges.
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Senior Manager Statistical Programming jobs near you
Infographic showing various Senior Manager Statistical Programming job openings in the United States as of July 2026, with employment types broken down into 85% Full Time, 13% Part Time, 1% Temporary, and 1% Contract. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution, with an average salary of $99,008 per year, or $47.6 per hour.

Senior Manager, Statistical Programming

Kardigan

South San Francisco, CA • On-site

Other

Re-posted 22 days ago

Job description

Position Title: Senior Manager, Statistical Programming

Department: Clinical Data Sciences & Analytics 

Reports To: Head of Statistical Programming

Location: South San Francisco, CA or Princeton, NJ - On-site 4 days per week (Mon to Thurs) 

Job Overview:

The Senior Manager of Statistical Programming will be responsible for leading Statistical Programming activities. It involves hands-on implementation of statistical analyses using SAS/R, as well as performing quality reviews of deliverables, both for in-house analyses and outsourced programming tasks.

This position serves as a critical bridge between Biostatistics and Clinical Data Management (CDM), ensuring the development of CRFs and the delivery of high-quality clinical data. Additionally, this position will play an important role in helping establish SOPs and programming standards and also build our SCE platform.

ESSENTIAL DUTIES AND RESPONSIBILITIES

Key Project Responsibilities:

  • Provides programming leadership and oversee study to compound-level programming deliverable in collaboration with the Stats lead and cross-functional teams.
  • Serve as the lead programmer to reviews SAP, Data Presentation Plan, Table Shell to align with project objectives and ensures clarity and completeness of programming assumptions and requirements.
  • Lead programming team to produce and/or validate SDTM, ADaM and TLF, for CSR and regulatory requests, publication needs, and ad-hoc analyses.
  • Manage CROs and contractors, ensuring compliance, quality of deliverables, timelines, and budget adherence.
  • Collaborate with biostatisticians and clinical development colleagues to develop/review TLF shells, SDTM, and ADaM specifications.
  • Work closely with Data Management and Biostatistics teams to ensure the accuracy of final databases, analyses, and reports.
  • Develop global tools, such as macros or graphical user interface applications, to enhance the efficiency and capacity of the Statistical Programming team.
  • Develops robust program to create define.xml, Leads the NDA eSubmission package preparation.
  • Assist Biometric in building the statistical computing environment (SCE) platform, including designing folder structure and managing access control.

Initiative Responsibilities:

  • Under guidance from Head of Statistical Programming and Compound PL, implement innovative strategies and technologies to enhance programming processes.
  • Working with manager, establish Statistical Programming standard and deploy programming strategies, specifications and programmed analysis.
  • Proactively plan, implement, and identify issues/risks and provide remediation strategies to improve programming capability.

Qualifications and Preferred Skills

Education:

  • Master's degree in Statistics/Biostatistics, Mathematics, Computer Science, or a related field.

Experience and Skill Set:

  • Minimum of 6 years statistical programming experience in the pharmaceutical, biotech or CRO clinical trial environment.
  • Advanced SAS programming skills. Extensive Hands-on experience with SDTM, ADaM, TLF programming
  • Proficient knowledge in the implementation of CDISC standards (SDTM, ADaM) and regulatory submission requirements.
  • Good knowledge of drug development process, study design, statistical methodology, regulatory guidance, statistical concepts, and medical terminology.
  • Broad expertise in statistical programming and in developing computing strategies.
  • In-depth understanding of CDISC standards including SDTM and ADaM models and extensive experience of their implementation in clinical trials.
  • Demonstrated proficiency in using SAS/R to produce analysis datasets and TFLs.
  • Knowledge of data validation, define.xml generation using Pinnacle 21.
  • Results orientated with proven problem-solving skills and a strong interest in ongoing learning.
  • Excellent communication and collaboration skills, with the ability to work closely with cross-functional teams
  • Experience managing outsourced programming activities and overseeing deliverables from CROs and contractors.
  • Adaptable and thrives in a fast-paced, startup environment while managing multiple priorities effectively.
  • Experience with regulatory audits and inspections and IR (e.g., FDA, PMDA, NMPA, EMA) is a strong advantage.

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