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Associate Statistical Programmer Jobs in California

... statistical programming languages such as R and Python is a plus. Additional Information Vaccine mandate is in effect due to onsite nature of the position Please attach a WORD resume to your ...

Experience with Microsoft Word and Excel is essential, and knowledge in statistical programming ... NOTE - other temporary roles with this company: 2 Research Associate in Santa Monica, CA 1 Clinical ...

Works collaboratively with clinicians, data managers, biostatisticians, statistical programmers, and medical writers in the planning, conduct and analysis of clinical trials. Essential Duties And ...

Works collaboratively with clinicians, data managers, biostatisticians, statistical programmers, and medical writers in the planning, conduct and analysis of clinical trials. Essential Duties And ...

Associate Biostatistics Director

Alameda, CA · On-site

$166.50K - $236.50K/yr

Works collaboratively with clinicians, data managers, biostatisticians, statistical programmers, and medical writers in the planning, conduct and analysis of clinical trials. Essential Duties And ...

Job Title Associate Design Quality Engineer Working at Abbott At Abbott, you can do work that ... Bachelor's Degree in Science, Statistics, Engineering Discipline or ASQ or a related field or an ...

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Associate Statistical Programmer information

See California salary details

$83.4K

$145.4K

$245.7K

How much do associate statistical programmer jobs pay per year?

As of Jun 3, 2026, the average yearly pay for associate statistical programmer 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 are the key skills and qualifications needed to thrive as an Associate Statistical Programmer, and why are they important?

To thrive as an Associate Statistical Programmer, you need a solid background in statistics, programming (especially SAS or R), and familiarity with clinical trial data, typically supported by a degree in statistics, mathematics, or a related field. Proficiency with statistical software (such as SAS, R, or Python), CDISC standards, and data management tools is essential, and certifications in SAS programming can be advantageous. Attention to detail, strong problem-solving abilities, and effective communication skills help you collaborate with clinical teams and ensure data quality. These skills and qualities are vital for delivering accurate statistical analyses that support regulatory submissions and evidence-based decision-making in clinical research.

How does an Associate Statistical Programmer typically collaborate with biostatisticians and data managers in clinical research projects?

As an Associate Statistical Programmer, you will frequently collaborate with biostatisticians to understand statistical analysis plans and translate them into clear programming specifications. You’ll also work closely with data managers to ensure data integrity and resolve any data discrepancies before analysis. Effective communication and teamwork are essential, as you’ll often participate in project meetings, provide programming support, and help deliver high-quality datasets and reports under tight timelines. This collaborative environment is key to ensuring accurate and timely clinical trial results.

What is an Associate Statistical Programmer?

An Associate Statistical Programmer is an entry-level professional who assists in the programming and analysis of clinical trial data, primarily within the pharmaceutical or biotechnology industries. They use statistical software, such as SAS or R, to create, validate, and maintain datasets, tables, listings, and figures required for clinical study reports. Their work supports biostatisticians and clinical teams in ensuring data accuracy and regulatory compliance. This role is ideal for those with a background in statistics, mathematics, or computer science, looking to start a career in clinical data analysis.

What is the difference between Associate Statistical Programmer vs Statistical Programmer?

AspectAssociate Statistical ProgrammerStatistical Programmer
Required CredentialsBachelor's degree in statistics, mathematics, or related field; some roles may require basic programming skillsBachelor's or master's degree; more experience in programming and statistical analysis
Work EnvironmentEntry-level, supporting senior programmers; often in clinical research or pharmaceutical companiesMore independent, handling complex analyses; similar industry settings
Employer & Industry UsageCommon in clinical trials, pharmaceutical, and biotech companiesUsed across similar industries, often as a step up from associate roles

The main difference between an Associate Statistical Programmer and a Statistical Programmer lies in experience and responsibility level. Associate roles are typically entry-level, focusing on supporting tasks under supervision, while Statistical Programmers handle more complex analyses independently. Both roles are vital in clinical research and biotech industries, with the associate position serving as a stepping stone to more advanced programming roles.

What are the most commonly searched types of Statistical Programmer jobs in California? The most popular types of Statistical Programmer jobs in California are:
What are popular job titles related to Associate Statistical Programmer jobs in California? For Associate Statistical Programmer jobs in California, the most frequently searched job titles are:
What job categories do people searching Associate Statistical Programmer jobs in California look for? The top searched job categories for Associate Statistical Programmer jobs in California are:
What cities in California are hiring for Associate Statistical Programmer jobs? Cities in California with the most Associate Statistical Programmer job openings:
Research Associate Data Scientist - Ajami Lab - Department of Neurology

Research Associate Data Scientist - Ajami Lab - Department of Neurology

Cedars Sinai

West Hollywood, CA

$66.50K - $67.10K/yr

Other

Posted 7 days ago


Cedars-Sinai rating

8.6

Company rating: 8.6 out of 10

Based on 129 frontline employees who took The Breakroom Quiz

34th of 991 rated hospitals


Job description

Grow your career at Cedars-Sinai!

Data is vital to advance clinical knowledge across a spectrum of medical and surgical fields. Are you ready to transform data discoveries into valuable information, which will empower tomorrow's medicine?

Dr. Bahareh Ajami invites you to consider this Research Associate Data Scientist opportunity to join her dynamic team!

About the Team

The Ajami Lab is establishing a new research program at Cedars-Sinai focused on immune mechanisms driving neuro-degeneration, with a particular emphasis on ALS and microglial biology.

About the Role

The Research Associate Data Scientist participates in biomedical research projects using programming, data -mining, statistics, machine learning, and visualization techniques to assist with the development, evaluation, and/or applications of algorithms, methods, and software for data analysis. Responsibilities include querying databases, data cleaning and quality control, supervised and unsupervised machine learning, parametric and nonparametric statistical methods, deploying production models, and assisting with the communication of scientific findings via peer-reviewed publications and scientific conferences. Writes clean, performant, reusable code managed on GitHub to perform repeatable analyses and to train and deploy models to multiple environments.

Primary Duties & Responsibilities:

  • Assists with the development, evaluation, and/or application of computational and statistical methods including artificial intelligence and machine learning algorithms and software for the analysis of biomedical data.
  • Assists with the presentation and communication of scientific results through laboratory meetings, scientific conferences, and peer-reviewed publications.
  • Creates database-to-deployment pipelines for models using the necessary programming languages (primarily R, Python, SQL, neo4j).
  • Creates sustainable data science infrastructure and adheres to data analysis/machine learning standards.
  • Performs data cleaning, quality control, and exploratory data analysis to gauge the need for or appropriateness of advanced analytical methods
  • Assists research, senior research, and/or lead research data scientists and principal investigators to identify areas where data science can best be applied to answer biomedical research questions.
  • Tests and validates code to ensure adaptability of data applications with version control through GitHub.
Cedars-Sinai is a leader in providing high-quality healthcare encompassing primary care, specialized medicine and research. Since 1902, Cedars-Sinai has evolved to meet the needs of one of the most diverse regions in the nation, setting standards in quality and innovative patient care, research, teaching and community service. Today, Cedars- Sinai is known for its national leadership in transforming healthcare for the benefit of patients. Cedars-Sinai impacts the future of healthcare by developing new approaches to treatment and educating tomorrow's health professionals. Additionally, Cedars-Sinai demonstrates a commitment to the community through programs that improve the health of its most vulnerable residents.Cedars-Sinai is one of the largest nonprofit academic medical centers in the U.S., with 886 licensed beds, 2,100 physicians, 2,800 nurses and thousands of other healthcare professionals and staff. Choose this if you want to work in a fast-paced environment that offers the highest level of care to people in the Los Angeles that need our care the most.

Education:

  • Bachelor's degree in Computer Science, Machine Learning, Applied Mathematics, Biomedical Imaging, Statistics, Engineering, Physics, or related field, required.
  • Master's degree in these fields is preferred.

Experience and Skills:

  • Up to two (2) years of professional experience in healthcare or pharmaceutical industries working with biomedical data.
  • Experience programming at an intermediate skill level with a high-level programming language such as R or Python. College projects may be acceptable.
  • Experience programming at a basic to intermediate proficiency level in SQL
  • Experience in biomedical machine learning is preferred.

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