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Fulltime Clinical Data Scientist Jobs in Riverside, CA

Bio-Rad Laboratories, Inc.

Data Scientist II

Irvine, CA · On-site

$121K - $166K/yr

We are looking for a Data Scientist II to support analytics, machine learning, and AI development ... clinical diagnostic products. We help people everywhere live longer, healthier lives. Bio-Rad ...

Jj

Staff Clinical Research Scientist

Irvine, CA · On-site

Scientific/Technology All Job Posting Locations: Irvine, California, United States of America ... Analyze and interpret clinical data; effectively communicate data using well-structured tables and ...

Jj

Senior Clinical Research Scientist

Irvine, CA · Hybrid

Scientific/Technology All Job Posting Locations: Irvine, California, United States of America ... Analyze and interpret clinical data; effectively communicate data using well-structured tables and ...

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All JobsFulltime Clinical Data Scientist JobsFulltime Clinical Data Scientist Jobs in Riverside, CA

Fulltime Clinical Data Scientist information

See Riverside, CA salary details

$39.1K

$128K

$205K

How much do fulltime clinical data scientist jobs pay per year?

As of Aug 6, 2026, the average yearly pay for fulltime clinical data scientist in Riverside, CA is $128,049.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,800.00 and $141,900.00 per year, depending on experience, location, and employer.

What is the difference between Fulltime Clinical Data Scientist vs Clinical Data Analyst?

AspectFulltime Clinical Data ScientistClinical Data Analyst
Required CredentialsTypically requires a Master’s or PhD in Data Science, Biostatistics, or related fieldsOften requires a Bachelor’s or Master’s in Data Analysis, Statistics, or related fields
Work EnvironmentEngages in advanced data modeling, machine learning, and predictive analytics within healthcare or pharma companiesFocuses on data cleaning, reporting, and basic analysis primarily in clinical trial or healthcare settings
Employer & Industry UsageCommonly employed by pharmaceutical companies, biotech firms, or healthcare tech organizationsWidely used in hospitals, research institutions, and clinical research organizations

The main difference is that a Fulltime Clinical Data Scientist performs advanced analytics and predictive modeling, requiring higher-level credentials, while a Clinical Data Analyst handles data reporting and basic analysis. Both roles are essential in clinical research but differ in complexity and technical expertise.

What are popular job titles related to Fulltime Clinical Data Scientist jobs in Riverside, CA? For Fulltime Clinical Data Scientist jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Fulltime Clinical Data Scientist jobs in Riverside, CA look for? The top searched job categories for Fulltime Clinical Data Scientist jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Fulltime Clinical Data Scientist jobs? Cities near Riverside, CA with the most Fulltime Clinical Data Scientist job openings:
Fulltime Clinical Data Scientist jobs near you

Senior Data Scientist

Edwards Lifesciences Corporation

Irvine, CA • On-site

Full-time

Re-posted yesterday

Edwards Lifesciences rating

8.3

Company rating: 8.3 out of 10

Based on 30 frontline employees who took The Breakroom Quiz

68th of 536 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
  • Relocation is not provided for this role. Only candidates within a 50-mile radius of Irvine, California will 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.
COVID Vaccination Requirement
Edwards is committed to protecting our vulnerable patients and the healthcare providers who are treating them. As such, all patient-facing and in-hospital positions require COVID-19 vaccination. If hired into a covered role, as a condition of employment, you will be required to submit proof that you have been vaccinated for COVID-19, unless you request and are granted a medical or religious accommodation for exemption from the vaccination requirement. This vaccination requirement does not apply in locations where it is prohibited by law to impose vaccination.

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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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