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Clinical Data Programmer Jobs in California (NOW HIRING)

Unlearn

Senior Clinical Data Scientist

San Francisco, CA · On-site

$150 - $200/hr

Working in close collaboration with machine learning scientists, engineers, clinical scientists, and product partners, they transform complex clinical data into high-quality, well-understood datasets ...

Unlearn.AI

Senior Clinical Data Scientist

San Francisco, CA · On-site

$200 - $250/hr

Working in close collaboration with machine learning scientists, engineers, clinical scientists, and product partners, they transform complex clinical data into high-quality, well-understood datasets ...

Unlearn

Senior Clinical Data Scientist

San Francisco, CA · On-site

$160K - $180K/yr

Working in close collaboration with machine learning scientists, engineers, clinical scientists, and product partners, they transform complex clinical data into high-quality, well-understood datasets ...

Deloitte

Clinical Data AMS Sr. Consultant

Monterey, CA · On-site

Experience with CDISC standards (SDTM/ADaM) as they relate to downstream SAS programming ... As an experienced Clinical Data AMS Senior Consultant you will have the ability to share new ideas ...

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All JobsClinical Data Programmer JobsClinical Data Programmer Jobs in California

Clinical Data Programmer information

See California salary details

$68.6K

$117.4K

$209.2K

How much do clinical data programmer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for clinical data programmer in California is $117,404.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,000.00 and $177,600.00 per year, depending on experience, location, and employer.

What is a clinical data programmer?

Clinical Data Programmers are professionals who manage, process, and analyze clinical trial data using specialized programming languages and software. They are responsible for creating and validating programs that ensure data collected during clinical studies is accurate, consistent, and ready for statistical analysis. Their work is essential to the integrity of clinical research, enabling regulatory submissions and supporting medical decision-making. Clinical Data Programmers often work closely with clinical data managers, statisticians, and other clinical research professionals.

How does a clinical data programmer typically collaborate with clinical research teams during a study?

Clinical Data Programmers work closely with clinical research associates, data managers, biostatisticians, and project managers to ensure the integrity and accuracy of clinical trial data. They often participate in study setup meetings, provide input on case report form (CRF) design, and develop programs for data validation and cleaning. Regular communication is essential to resolve any discrepancies or issues that arise during data collection and to implement mid-study changes. This collaborative environment ensures that the data is reliable and meets regulatory requirements.

What are the key skills and qualifications needed to thrive as a clinical data programmer, and why are they important?

To thrive as a Clinical Data Programmer, you need a strong background in programming (especially SAS or SQL), understanding of clinical trial data, and a degree in life sciences, statistics, or a related field. Familiarity with electronic data capture systems, CDISC standards (SDTM/ADaM), and regulatory requirements is typically expected, and relevant certifications can be advantageous. Attention to detail, analytical thinking, and effective communication are essential soft skills for ensuring data integrity and collaborating with cross-functional teams. These skills and qualifications are vital for producing accurate, regulatory-compliant datasets that support clinical research and successful drug development.

What is the difference between Clinical Data Programmer vs Clinical Data Analyst?

AspectClinical Data ProgrammerClinical Data Analyst
Required CredentialsBachelor's in Life Sciences, Biostatistics, or related field; knowledge of programming languages like SAS or RBachelor's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentClinical trial data management teams, often in CROs or pharmaceutical companiesData analysis teams, often in healthcare or research organizations
Employer & Industry UsageUsed in clinical research to prepare datasets for analysisUsed to interpret data, generate reports, and support decision-making

While both roles involve working with clinical data, Clinical Data Programmers focus on coding and preparing datasets, whereas Clinical Data Analysts interpret data and generate insights. Understanding these differences helps in choosing the right career path or job search focus.

What are popular job titles related to Clinical Data Programmer jobs in California?

For Clinical Data Programmer jobs in California, the most frequently searched job titles are:

What job categories do people searching Clinical Data Programmer jobs in California look for?

The top searched job categories for Clinical Data Programmer jobs in California are:

What cities in California are hiring for Clinical Data Programmer jobs?

Cities in California with the most Clinical Data Programmer job openings:

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For Clinical Data Programmer jobs in CA, the most frequently searched job titles are:

Clinical Data Programmer jobs near you
Infographic showing various Clinical Data Programmer job openings in California as of September 2026, with employment types broken down into 60% Full Time, and 40% Contract. Highlights an 68% In-person, 8% Hybrid, and 24% Remote job distribution, with an average salary of $117,404 per year, or $56.4 per hour.

Associate Director, Clinical Data Management

Summit Therapeutics

Palo Alto, CA • On-site

Full-time

Re-posted 5 days ago

Job description

About Summit:
Summit Therapeutics Inc. is a biopharmaceutical oncology company with a mission focused on improving quality of life, increasing potential duration of life, and resolving serious unmet medical needs. At Summit, we believe in building a team of world class professionals who are passionate about this mission, and it is our people who drive this mission to reality. Summit's core values include integrity, passion for excellence, purposeful urgency, collaboration, and our commitment to people. Our employees are truly the heart and soul of our culture, and they are invaluable in shaping our journey toward excellence.
Summit's team is inspired to touch and help change lives through Summit's clinical studies in the field of oncology. Summit has multiple global Phase 3 clinical studies, including:
Non-small Cell Lung Cancer (NSCLC)
  • HARMONi: Phase 3 clinical study which was intended to evaluate ivonescimab combined with chemotherapy compared to placebo plus chemotherapy in patients with EGFR-mutated, locally advanced or metastatic non-squamous NSCLC who were previously treated with a 3rd generation EGFR TKI.
  • HARMONi-3: Phase 3 clinical study which is intended to evaluate ivonescimab combined with chemotherapy compared to pembrolizumab combined with chemotherapy in patients with first-line metastatic NSCLC.
  • HARMONi-7: Phase 3 clinical study which is intended to evaluate ivonescimab monotherapy compared to pembrolizumab monotherapy in patients with first-line metastatic NSCLC.

Colorectal Cancer (CRC)
  • HARMONi-GI3: Phase 3 clinical study intended to evaluate ivonescimab in combination with chemotherapy compared with bevacizumab plus chemotherapy.

Ivonescimab is an investigational therapy not presently approved by any regulatory authority other than China's National Medical Products Administration (NMPA). Summit is headquartered in Miami, Florida, and has additional offices in California, New Jersey, the UK, and Ireland.
Overview of Role:
We are looking for an experienced Associate Director, Clinical Data Management that will contribute to and support the company's research and development efforts to create high value therapeutics to address unmet medical needs. The Associate Director, Clinical Data Management independently leads the data management components of a clinical trial ranging from small early phase to large global and late phase programs. This role will direct the planning, implementation and overall direction of executing/achieving clinical trial data management activities including CRF/eCRF design, database development, validation programming, data review, discrepancy management, and database lock. Additionally, the position will manage data management staff, Contract Research Organizations (CROs) and service providers' activities in overseeing the data management process life cycle in coordination with internal Biostatistics, Clinical, and Regulatory teams to ensure the accurate, efficient, and complete data collection for clinical trials.
Role and Responsibilities:
  • Provide expertise and contribute to the strategy and development of the Clinical Data Management Portfolios to ensure data quality in support of clinical study data milestones and deliverables
  • Lead and support establishment of systems and processes to help ensure clinical data security, integrity, and long-term goals of the business function, in alignment with company priorities
  • Leads the data management of overall drug development process with early and late phase clinical trials in large or complex development program(s)
  • Provides technical expertise to develop and implement clinical data standards, data management plans, data transfer agreements, and data flow processes to ensure timely and quality data delivery for analysis purpose
  • Oversees the process to identify, evaluate and select CROs, vendors and technology for CDM activities
  • Leads, designs and/or oversees eCRF design, eCRF specifications, eCRF completion guidelines, annotated CRFs, User Acceptance Testing, query logic, edit checks, data query resolution, SAE reconciliation between clinical and pharmacovigilance databases, vendor data reconciliation & cleaning, data migration and database closeout for clinical trials
  • Represents Data Management and promotes productive collaboration with other functions (e.g., Clinical Operations, Clinical Development, Biostatistics, Statistical Programming, Translational Science, Project Management, Regulatory, QA, and IT) to ensure proper alignment around data management activities & deliverables, operational excellence, compliance with regulations, policies, procedures, and clinical objectives
  • Supports cross functional teams and studies to handle data management questions, troubleshoot, help resolve issues and mitigate risks. Initiates continuous efforts in reviewing and identifying best practices among study teams and enforcing standardization among teams and studies
  • Works with the Director of Clinical Data Science (CDS) to enhance efficiency, optimize costs, and drive excellence
  • Works with the Director of Clinical Data Science to establish CDM processes and procedures including SOPs to ensure highest data quality/integrity/security and regulatory. compliance with FDA regulations, GCP, ICH guidelines and Good Clinical DM Practices.
  • Leads clinical data management activities during regulatory audits, ensuring compliance with industry standards and regulations, and providing expert input throughout the audit process
  • Works with the Head of Statistical Programming & CDS to manage departmental budget and execute resource planning across multiple projects
  • Works with the Director of Clinical Data Science to provide oversight and guidance, as well as establish key performance metrics with CROs to ensure the highest data quality/integrity and regulatory compliance
  • Accommodate ad hoc data requests between clinical team members, scientists, and vendors to support data cleaning, data entry requirements and exploratory data review if needed
  • Uses scientific and drug development knowledge to anticipate and mitigate data management-related challenges during clinical trial execution
  • Reviews and contributes to clinical protocols and amendments, study manuals, and other study conduct related clinical documents; review clinical data according to these documents
  • All other duties as assigned

Experience, Education and Specialized Knowledge and Skills:
  • Bachelor's degree in Life Sciences, Computer Science, or relevant field of study; or equivalent practical experience
  • A minimum of 10+ years of Clinical Data Management experience (oncology experience highly desirable) in biotechnology or pharmaceutical industry with excellent understanding of late phase clinical drug development processes required
  • Experience with various data collection and Electronic Data Capture (EDC) systems and understanding of the MedDRA and WHODRUG coding processes
  • Strong track record of line management and supervisory experience of CDM staff, shown leadership skills to lead and inspire CDM staff including consultants
  • Excellent interpersonal, communication, and leadership skills
  • Consistent, detail oriented, communicative, dedicated to do a job well done
  • CRO and vendor oversight experience preferred
  • Strong knowledge of clinical research, FDA & ICH, GCP, GCDMP, and related regulatory requirements

This is the pay for this position
Pay Transparency
$174,000-$204,000 USD
Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include bonus, stock, benefits and/or other applicable variable compensation.
Summit does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact Summit's Talent Acquisition team at recruiting@smmttx.com to obtain prior written authorization before referring any candidates to Summit.
Summit Therapeutics Inc. is an Equal Opportunity Employer and takes pride in creating and maintaining diverse environment. We do not discriminate in recruitment, hiring, training or promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status.

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