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Manager Statistical Programming Jobs in San Ramon, CA

TechData Service Company LLC

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Statistical Programmer (5 Plus Years Experience)

Alameda, CA · Remote

$80 - $90/hr

Develop standard SAS macros for efficient analyses of clinical data supervised by Programming management. * Participate in the review of 'Statistical Analysis Plan' and other documents essential to ...

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All JobsStatistical Programming JobsManager Statistical Programming JobsManager Statistical Programming Jobs in San Ramon, CA

Manager Statistical Programming information

See San Ramon, CA salary details

$94.4K

$164.6K

$278.3K

How much do manager statistical programming jobs pay per year?

As of Sep 9, 2026, the average yearly pay for manager statistical programming in San Ramon, CA is $164,601.00, according to ZipRecruiter salary data. Most workers in this role earn between $139,700.00 and $178,800.00 per year, depending on experience, location, and employer.

What is a manager statistical programming?

A Manager Statistical Programming oversees a team of statistical programmers who support clinical trials and research by developing, validating, and maintaining statistical programs. They ensure compliance with regulatory requirements, manage project timelines, and collaborate with statisticians, data managers, and other stakeholders. This role requires strong programming skills in SAS or other statistical software, leadership abilities, and expertise in clinical data standards such as CDISC.

What are the typical daily responsibilities of a manager statistical programming?

As a Manager Statistical Programming, your daily responsibilities usually include overseeing a team of statistical programmers, coordinating the development and validation of statistical programs for clinical trial data analysis, and ensuring deliverables meet regulatory and company quality standards. You will often interact with biostatisticians, data managers, and clinical teams to align programming outputs with study goals. Additionally, you may review project timelines, allocate resources, mentor junior programmers, and contribute to process improvement initiatives. This multifaceted role requires balancing technical oversight with leadership and interdepartmental communication.

What are the key skills and qualifications needed to thrive in the manager statistical programming position, and why are they important?

To excel as a Manager Statistical Programming, you need a solid background in statistics, programming (such as SAS, R, or Python), and experience with clinical trial data management, often supported by a degree in statistics, mathematics, or a related field. Familiarity with regulatory guidelines (e.g., FDA, ICH), data standards such as CDISC, and certifications in relevant programming languages or clinical data processes are highly beneficial. Strong leadership, project management, and effective communication skills are essential for guiding teams and collaborating with cross-functional departments. These skills enable the manager to deliver high-quality statistical programming deliverables, ensure regulatory compliance, and drive team performance in a deadline-driven environment.

What are the most commonly searched types of Statistical Programming jobs in San Ramon, CA?

The most popular types of Statistical Programming jobs in San Ramon, CA are:

What are popular job titles related to Manager Statistical Programming jobs in San Ramon, CA?

For Manager Statistical Programming jobs in San Ramon, CA, the most frequently searched job titles are:

What job categories do people searching Manager Statistical Programming jobs in San Ramon, CA look for?

The top searched job categories for Manager Statistical Programming jobs in San Ramon, CA are:

What cities near San Ramon, CA are hiring for Manager Statistical Programming jobs?

Cities near San Ramon, CA with the most Manager Statistical Programming job openings:

Manager Statistical Programming jobs near you
Infographic showing various Manager Statistical Programming job openings in San Ramon, CA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 17% Part Time, and 1% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $164,601 per year, or $79.1 per hour.

Senior Manager, Statistical Programming

San Francisco, CA • On-site

Kardigan
See more jobs at Kardiganexternal

Full-time

Re-posted 16 days ago

Key responsibilities

  • Lead and oversee statistical programming activities for clinical studies, including review of key documents and production of analysis datasets and tables.

  • Manage CROs and contractors to ensure quality, compliance, and timely delivery of programming tasks.

  • Develop and implement programming standards, tools, and strategies to improve the efficiency and quality of statistical programming processes.

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 establishing SOPs and programming standards and modernizing statistical reporting with open-source tools.

ESSENTIAL DUTIES AND RESPONSIBILITIES

Key Project Responsibilities:

  • Provide programming leadership and oversee study to compound-level programming deliverables in collaboration with the lead biostatistician and cross-functional teams.
  • Serve as the lead programmer to review the SAP, Data Presentation Plan, and Table Shells to align with project objectives and ensure 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 company tools, such as R packages, macros, and interactive data dashboards (e.g., with Shiny), to enhance the efficiency and capacity of the Statistical Programming team.
  • Develop robust programs to create define.xml. Lead the NDA eSubmission package preparation.

Initiative Responsibilities:

  • Under the guidance of the Head of Statistical Programming and Compound Lead, implement innovative strategies and technologies to enhance programming processes.
  • Working with the manager, establish Statistical Programming standards and deploy programming strategies, specifications, and programmed analyses.
  • 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 of statistical programming experience in the pharmaceutical, biotech, or CRO clinical trial environment.
  • Advanced SAS and R programming skills, with experience using Git for version control required. Extensive hands-on experience with SDTM, ADaM, and TLF programming.
  • Python programming experience is desirable.
  • Proficient knowledge in the implementation of CDISC standards (SDTM, ADaM) and regulatory submission requirements.
  • Good knowledge of the 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 with their implementation in clinical trials.
  • Knowledge of data validation, define.xml generation using Pinnacle 21.
  • Results-oriented, with proven problem-solving skills and a strong interest in continued 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 able to thrive in a fast-paced, startup environment while managing multiple priorities effectively.
  • Experience with regulatory audits and inspections (e.g., FDA, PMDA, NMPA, EMA) is a strong advantage.

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