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Manager Statistical Programming Jobs in California

Natera

Director of Statistical Programming

San Francisco, CA · On-site +1

$186K - $233K/yr

This is an exciting opportunity to lead Natera's Statistical Programming team, specifically focused ... Partner with Biostatistics, Clinical Operations, Data Management, and Regulatory to integrate ...

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All JobsManager Statistical Programming JobsManager Statistical Programming Jobs in California

Manager Statistical Programming information

See California salary details

$83.4K

$145.4K

$245.7K

How much do manager statistical programming jobs pay per year?

As of Jun 19, 2026, the average yearly pay for manager statistical programming in California is $145,363.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,400.00 and $157,900.00 per year, depending on experience, location, and employer.

What is a Manager Statistical Programming job?

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 California? The most popular types of Statistical Programming jobs in California are:
What are popular job titles related to Manager Statistical Programming jobs in California? For Manager Statistical Programming jobs in California, the most frequently searched job titles are:
What job categories do people searching Manager Statistical Programming jobs in California look for? The top searched job categories for Manager Statistical Programming jobs in California are:
What cities in California are hiring for Manager Statistical Programming jobs? Cities in California with the most Manager Statistical Programming job openings:
Manager Statistical Programming jobs near you
Infographic showing various Manager Statistical Programming job openings in California as of June 2026, with employment types broken down into 89% Full Time, 2% Temporary, and 9% Contract. Highlights an 96% In-person, 2% Hybrid, and 2% Remote job distribution, with an average salary of $145,363 per year, or $69.9 per hour.

Senior Manager, Statistical Programming

Kardigan

South San Francisco, CA

Other

Posted 23 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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