Senior Data Scientist

Overview

Edwards Lifesciences’ Implantable Heart Failure Management (IHFM) AI, Product and Platforms organization is advancing technology that enables early, targeted therapeutic intervention for patients with heart failure. As a Senior Data Scientist based in Irvine, CA, you will own modeling for clinical or product domains, drive problem framing with product and clinical partners, and author model documentation that meets FDA submission expectations for regulated products.

• Domain modeling: own modeling for arrhythmia classification, cardiac imaging segmentation, clinical prediction, or patient outcome forecasting from framing through offline validation.
• Architectural selection: choose and adapt architectures (vision transformers, encoder‑decoder networks, temporal models, self‑supervised learning) for the modality and apply representation learning under limited labels.
• Statistical depth: apply survival analysis, Bayesian modeling, and causal inference where required (stats models, lifelines, scikit‑survival, PyMC).
• Evaluation and subgroup analysis: design offline evaluation, calibration, and clinical performance validation strategies, including bias analysis across sex, age, and device cohort.
• Interpretability and documentation: author submission‑grade model documentation including calibration, uncertainty, and interpretability evidence (SHAP, Captum).
• Research adoption: evaluate and adapt current AI/ML research to IHFM problems, mentor less experienced data scientists.
• Model handoff: coordinate handoff of offline‑validated custom models to AI/ML Engineers and partner with Regulatory Affairs on submission strategy.
• Algorithm development, analysis, and reporting: create, test, and improve complex algorithms, NLP, and machine learning models; analyze results; develop insights; produce reports and dashboards.
• Data preparation and quality: process, cleanse, label, and verify structured and unstructured data; collaborate on data standards, metrics, analytics, and reporting.
• Tools, integration, and design controls: identify and integrate data sources, software, and analytics tools (Python, SQL, SAS, Power BI, Tableau Prep); support development of design control documentation.

• Bachelor’s in a related field (Computer Science, Engineering, Biostatistics, or Science) plus 4 years of experience OR Master’s plus 3 years of experience, including industry or industry/education, with emphasis on AI/ML for health.
• Strong command of Python and SQL; experience with PyTorch, Tensor Flow, and experiment tracking tools such as MLflow.
• Experience with clinical validation, retrospective clinical data, or regulated medical software (SaMD).

• Depth in one IHFM data modality (time‑series, medical imaging such as echocardiography, cardiac MR, or CT).
• Command of relevant architecture families and transfer/self‑supervised learning.
• Experience in evaluation, calibration, and clinical performance methodology, including subgroup analysis.
• Track record of owning modeling for a domain and communicating results to clinical, product, and regulatory partners.
• Experience with Bayesian modeling, causal inference, survival analysis, generative approaches for augmentation or synthetic data, multimodal modeling, and hyperparameter optimization.
• Contributions to internal or external research (publications, patents, or conferences).

• Competitive base salary range for California: $108,000 to $153,000 (highly experienced).
• Performance‑based incentives and a wide variety of benefits programs to address individual needs.
• Location:
  
  Irvine, CA – within a 50‑mile radius; relocation is not provided.

Edwards Lifesciences is an Equal Opportunity/Affirmative Action employer including protected Veterans and individuals with disabilities.