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Statistical Programming Jobs in Hayward, CA (NOW HIRING)

This includes leadership of the Biostatistics, Statistical Programming & Analysis, and Clinical Data Management functions. This role requires hands-on execution as well as oversight of internal and ...

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Statistical Programming information

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$96.9K

$168.9K

$285.5K

How much do statistical programming jobs pay per year?

As of Jul 17, 2026, the average yearly pay for statistical programming in Hayward, CA is $168,868.00, according to ZipRecruiter salary data. Most workers in this role earn between $143,300.00 and $183,400.00 per year, depending on experience, location, and employer.

What are some common challenges faced by statistical programmers when collaborating with cross-functional teams in clinical research?

Statistical programmers in clinical research often work closely with biostatisticians, data managers, and clinical teams. A common challenge is ensuring clear communication regarding data requirements, analysis specifications, and timelines, as different teams may have varying priorities and technical backgrounds. Navigating frequent changes in study protocols or data standards can also require adaptability and strong project management skills. Building collaborative relationships and maintaining thorough documentation are key to overcoming these challenges and ensuring high-quality, reproducible results.

What is statistical programming?

Statistical programming involves using software tools and programming languages, such as R, SAS, or Python, to manage, analyze, and interpret large sets of data. Professionals in this field write code to perform statistical analyses, create data visualizations, and automate data processing tasks. Statistical programming is widely used in industries like pharmaceuticals, finance, public health, and research to support data-driven decision-making and ensure accurate results.

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

To thrive as a Statistical Programmer, you need strong expertise in statistics, programming languages like SAS or R, and a background in mathematics or computer science. Familiarity with statistical software, clinical data management systems, and regulatory standards such as CDISC is typically required. Attention to detail, problem-solving abilities, and effective communication are vital soft skills for collaborating with cross-functional teams. These skills ensure accurate data analysis, regulatory compliance, and successful project delivery in data-driven environments.

What is the difference between Statistical Programming vs Data Analysis?

AspectStatistical ProgrammingData Analysis
Primary FocusDeveloping and implementing statistical models and algorithmsInterpreting data to identify trends and insights
Skills & ToolsProgramming languages (SAS, R, Python), statistical methodsData visualization, descriptive statistics, Excel, SQL
Work EnvironmentPharmaceutical, biotech, or research settingsBusiness, marketing, healthcare sectors
CertificationsOften requires statistical or programming certificationsMay include data analysis or business analytics certifications

While both roles involve working with data, Statistical Programming primarily focuses on creating statistical models and algorithms using programming languages, often in research or clinical settings. Data Analysis emphasizes interpreting data to generate insights for decision-making across various industries. Understanding these differences helps professionals choose the right career path or job focus.

What are the most commonly searched types of Statistical Programming jobs in Hayward, CA? The most popular types of Statistical Programming jobs in Hayward, CA are:
What cities near Hayward, CA are hiring for Statistical Programming jobs? Cities near Hayward, CA with the most Statistical Programming job openings:
Infographic showing various Statistical Programming job openings in Hayward, CA as of July 2026, with employment types broken down into 1% Internship, 80% Full Time, 14% Part Time, 2% Temporary, 2% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $168,868 per year, or $81.2 per hour.
Associate Principal Statistical Analyst

Associate Principal Statistical Analyst

Revolution Medicines

Redwood City, CA โ€ข Hybrid

Other

Re-posted 11 days ago


Job description

The Opportunity:

Position requires about 10-14 years of Statistical Programming experience with exploratory-stage oncology clinical trials, providing programming support and oversight of one or more clinical programs (early or late phase) within Statistical Programming function. In addition to direct programming and technical oversight of one or more studies, this position may require assistance providing technical support and guidance during regulatory submissions while ensuring conformance to CDISC standards and submission guidelines. Titles may vary based on candidate experience. Based on company needs, this position may be required to lead an early Phase or late phase study or program. Specific responsibilities include:

  • Provide technical oversight of statistical programming resources including contractors and CROs.

  • Provide mentorship to future leaders to help learn and execute on RevMed core values.

  • Ensure quality and timely delivery of analysis for statistical programming deliverables.

  • Provide solutions by analyzing issues and problems in complex situations.

  • Ensure accuracy of clinical trial results for internal and external audiences (e.g., regulatory authorities, academic community, and healthcare providers) via QC of documents with clinical data.

  • Ensure that the statistical programming process conforms to the SOPs and regulatory standards where applicable.

  • Timeline and vendor management for deliverables, including submission-related activities,ย complying with regulatory standards (e.g., FDA 21 CFR Part 11, GxP).

  • Programming support for deliverables, such as Dose Committee meetings, Investigator Brochures, publications/presentations, US, and ex-US regulatory submissions.

  • Proficiency in regulatory standards and compliance regulations including CDISC compliance (SDTM, ADaM, define.xml, Reviewer's Guides, etc.).

Required Skills, Experience and Education:

  • 10-14 years of Statistical Programming experience in biotechnology or pharmaceutical industry.

  • BS/BA degree or other suitable qualification with relevance to the field.

  • Direct statistical programming experience for early or late-phase clinical trials to support production/verification of analysis datasets, tables, listings, and figures.

  • Demonstrated ability to multi-task, prioritize options, anticipate challenges, and execute goals as a member of an interdisciplinary team is extremely important.

Preferred Skills:

  • Early or late-stage oncology clinical trials.

  • A demonstrable record of strong leadership and teamwork.

  • Thrives in a collaborative team setting and is driven by a desire to deploy innovative approaches and technologies in a high energy environment.

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