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Senior Clinical Sas Programmer Jobs in Riverside, CA

Edwards Lifesciences

Senior Data Scientist

Irvine, CA · On-site

$108 - $153/hr

As a Senior Data Scientist, you own modeling for a clinical or product domain, drive problem ... Handoff. Coordinate the handoff of offline-validated custom models to AI/ML Engineers (Applied ...

Ra

Marketing Analytics Manager

Orange, CA

Mid - Senior Level This is what you will do.. You will be using quantitative methods to assess the ... Who is proficient in SAS or other statistical modeling tools. Who enjoys traveling, because this ...

Qcells

Sr. Manager, Capital Markets

Irvine, CA · On-site +1

$130K - $170K/yr

Bachelor's degree in finance, economics, engineering or related field with a minimum of 8+ years of ... Experience with SQL, Python, or SAS. * 5+ years of experience in consumer or renewable energy ...

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Senior Clinical Sas Programmer information

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How much do senior clinical sas programmer jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for senior clinical sas programmer in Riverside, CA is $56.39, according to ZipRecruiter salary data. Most workers in this role earn between $42.12 and $63.94 per hour, depending on experience, location, and employer.

What is a senior clinical SAS programmer?

A Senior Clinical SAS Programmer is a specialized professional who uses SAS (Statistical Analysis System) software to manage, analyze, and report clinical trial data in pharmaceutical, biotechnology, or contract research organizations. They are responsible for developing, validating, and maintaining programs that transform raw clinical data into statistical tables, listings, and figures (TLFs) for regulatory submissions and study reports. In addition to technical programming tasks, senior SAS programmers often review code from junior programmers, ensure compliance with regulatory standards, and collaborate with statisticians, data managers, and clinical teams. Their expertise is critical for ensuring data integrity and supporting the success of clinical research projects.

What are the key skills and qualifications needed to thrive as a senior clinical SAS programmer?

To thrive as a Senior Clinical SAS Programmer, you need advanced proficiency in SAS programming, a solid understanding of clinical trial data, and typically a degree in statistics, computer science, or a related field. Expertise in CDISC standards (SDTM, ADaM), experience with clinical data management systems, and familiarity with regulatory submission requirements are essential technical qualifications. Strong analytical thinking, attention to detail, and effective communication skills help in collaborating with cross-functional teams and ensuring data quality. These skills ensure accurate data analysis, compliance with regulatory standards, and successful support of clinical research objectives.

What are some typical challenges faced by senior clinical SAS programmers when managing multiple clinical trial projects simultaneously?

Senior Clinical SAS Programmers often juggle multiple projects at various stages, which can present challenges such as prioritizing tasks, meeting tight regulatory deadlines, and ensuring data quality across studies. Effective communication and collaboration with statisticians, data managers, and clinical teams are essential to address emerging issues quickly. Familiarity with regulatory submission standards and proven organizational skills help in managing the workflow and maintaining consistency in deliverables.

What are the most commonly searched types of Clinical Sas Programmer jobs in Riverside, CA?

The most popular types of Clinical Sas Programmer jobs in Riverside, CA are:

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For Senior Clinical Sas Programmer jobs in Riverside, CA, the most frequently searched job titles are:

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Senior Clinical Sas Programmer jobs near you
Infographic showing various Senior Clinical Sas Programmer job openings in Riverside, CA as of August 2026, with employment types broken down into 3% As Needed, 71% Full Time, 18% Part Time, and 8% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $117,282 per year, or $56.4 per hour.

Senior Data Scientist

Edwards Lifesciences Corporation

Irvine, CA • On-site

Full-time

Re-posted 13 days ago

Edwards Lifesciences rating

8.3

Company rating: 8.3 out of 10

Based on 30 frontline employees who took The Breakroom Quiz

67th of 542 rated manufacturers

Job description

Many structural heart patients suffer from heart failure with limited options. Our Implantable Heart Failure Management (IHFM) team, part of the AI, Product and Platforms organization, is at the forefront of addressing these unmet patient needs through pioneering technology that enables early, targeted therapeutic intervention. Our innovative solutions are not just transforming patient care but also creating a unique and exciting environment for our team members. It is our driving force to help patients live longer and healthier lives. Join us and be part of our inspiring journey.
At Edwards Lifesciences, the Implantable Heart Failure Management (IHFM) AI, Product and Platforms organization designs and builds the software and data products that clinicians and patients depend on. As a Senior Data Scientist, you own modeling for a clinical or product domain, drive problem framing with product and clinical partners, own offline-validation rigor, and author model documentation that meets FDA submission expectations for regulated products.
Based in Irvine, CA, you'll join a high-impact medtech innovation hub in the heart of Orange County, collaborating in person with cross-functional teams to shape patient-focused technology.
How you'll make an impact
  • Domain modeling. Own modeling for a clinical or product domain, for example, arrhythmia classification, cardiac imaging segmentation, clinical prediction, or patient outcome forecasting, from framing through offline validation.
  • Architecture selection. Select and adapt architectures for the modality (vision transformers or encoder-decoder networks for imaging, transformers, or temporal models for signals) and apply self-supervised and representation learning under limited labels.
  • Statistical depth. Apply survival analysis, Bayesian modeling, and causal inference where the clinical question requires (statsmodels, lifelines or scikit-survival, PyMC).
  • Evaluation & subgroup. Design offline evaluation, calibration, and clinical performance validation strategies, including subgroup and bias analysis across sex, age, and device cohort, with Medical Affairs and Clinical Science.
  • Interpretability & documentation. Author submission-grade model documentation including calibration, uncertainty, and interpretability evidence (SHAP, Captum), and improve the team's modeling and validation practice.
  • Research adoption. Evaluate and adapt current AI/ML for health research to IHFM problems, and mentor less experienced data scientists.
  • Handoff. Coordinate the handoff of offline-validated custom models to AI/ML Engineers (Applied), and partner with Regulatory Affairs on submission strategy.
  • Algorithm development, analysis & reporting. Create, test, and improve complex algorithms, NLP, and machine learning models; analyze results; develop insights; and produce reports and dashboards to communicate performance and findings to stakeholders.
  • Data preparation & quality. Process, cleanse, label, and verify structured and unstructured data used for analysis; collaborate with internal teams and external partners on data standards, metrics, analytics, and reporting.
  • Tools, integration & design controls. Identify and integrate data sources, software, and analytics tools (e.g., Python, SQL, SAS, Power BI, Tableau Prep); support development of design control documentation including algorithm requirements and risk documentation.

What you'll need (Required):
  • Bachelor's in related field (e.g., Computer Science, Engineering, Biostatistics or Scientific) plus 4 years -or- Master's plus 3 years of previous experience including industry or industry/ education
  • This is an onsite role based in Irvine, CA. Relocation assistance is not provided, and candidates must reside within a 50-mile radius of Irvine to be considered.

What else we look for (Preferred):
  • Depth in at least one data modality relevant to IHFM, for example, time-series, or medical imaging (echocardiography, cardiac magnetic resonance imaging, or computed tomography).
  • Command of the relevant architecture families and of transfer and self-supervised learning.
  • Strong Python and SQL, and depth in modeling and experiment tracking such as PyTorch, TensorFlow, and MLflow.
  • Command of evaluation, calibration, and clinical performance methodology, including subgroup analysis, and the ability to author documentation suitable for regulatory submission.
  • A track record of owning modeling for a domain and communicating results to clinical, product, and regulatory partners.
  • Experience with clinical validation, retrospective clinical data, or regulated medical software (SaMD).
  • Depth in time-series or medical imaging modeling, including segmentation and registration, for example, MONAI, pydicom, or SimpleITK.
  • Bayesian modeling, causal inference (DoWhy, EconML), or survival analysis (lifelines, scikit-survival).
  • Generative approaches for augmentation or synthetic data (autoencoders, GANs, or diffusion models).
  • Exposure to multimodal modeling, combining signals, imaging, labs, and notes into patient-state models.
  • Familiarity with R, JAX, or hyperparameter optimization (Optuna, Ray Tune).
  • Contributions to internal or external research (publications, patents, or venues such as MICCAI or ML4H).

Aligning our overall business objectives with performance, we offer competitive salaries, performance-based incentives, and a wide variety of benefits programs to address the diverse individual needs of our employees and their families.
For California (CA), the base pay range for this position is $108,000 to $153,000 (highly experienced).
The pay for the successful candidate will depend on various factors (e.g., qualifications, education, prior experience). Applications will be accepted while this position is posted on our Careers website.
Edwards is an Equal Opportunity/Affirmative Action employer including protected Veterans and individuals with disabilities.

What Edwards Lifesciences employees say

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About Edwards Lifesciences

Sourced by ZipRecruiter

Edwards Lifesciences is the global leader in patient-focused medical innovations for structural heart disease, as well as critical care and surgical monitoring. Driven by a passion to help patients, the company collaborates with the world's leading clinicians and researchers to address unmet healthcare needs, working to improve patient outcomes and enhance lives. Headquartered in Irvine, California, Edwards Lifesciences has extensive operations in North America, Europe, Japan, Latin America and Asia and currently employs over 15,000 individuals worldwide. For us, helping patients is not a slogan - it's our life's work. From developing devices that replace or repair a diseased heart valve to creating new technologies that monitor vital signs in the critical care setting, we focus on helping patients regain and improve the quality of their life.

Industry

Medical equipment and supplies manufacturing

Company size

10,000+ Employees

Headquarters location

Irvine, CA, US

Year founded

1958

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