More jobs:
Clinical Research Data Scientist; RWE
Job in
Irvine, Orange County, California, 92713, USA
Listed on 2026-02-23
Listing for:
Masimo Corporation
Full Time
position Listed on 2026-02-23
Job specializations:
-
Healthcare
Data Scientist -
Research/Development
Data Scientist
Job Description & How to Apply Below
Job Summary:
Masimo is dedicated to developing innovative evidence solutions and critical insights through diverse data sources including Real World Data (RWD), trial data (collected internally and externally) and emerging innovative data sources, to support our clinical/scientific programs and regulatory submissions. The Clinical Research Data Scientist – Real World Evidence (RWE) and Outcomes Research will collaborate closely with strategic partners in Clinical Research, Engineering, Marketing, Medical Affairs and Payor Relations to develop and implement evidence and insights to improve patient outcomes and help meet unrealized marketing claims, and support regulatory activities.
Duties & Responsibilities:Study Design and Statistical Planning
- Contribute towards study protocols and study designs by developing and maintaining statistical analysis plans, simulation studies, and innovative methodologies tailored to multimodal datasets.
- Apply rigorous statistical methodologies ensuring reproducibility, robustness, and regulatory readiness.
- Implement real world evidence (RWE) generation strategies using conventional clinical study data and RWD to articulate value, address unmet needs, and support portfolio planning, commercialization, and patient access.
- Apply advanced statistical methods to large-scale datasets, including EHRs, claims, registries and longitudinal cohort studies.
- Develop and execute data management plans across various relational databases, with proficiency in data cleaning, manipulation, and database management.
- Collaborate with internal and external data management and statistical programming teams to generate research datasets and deliver insights.
- Dive deep into data to uncover trends, identify key insights, and craft machine learning models to improve the accuracies, minimize resource usage and maximize the ease of use of existing and future Masimo products.
- Improve data storage architectures and collection protocols
- Translate analytical findings, develop compelling narratives, and generate visualizations that connect evidence generation to business objectives, enabling alignment across product development, payer engagement, and policy planning.
- Collaborate cross-functionally with colleagues across Masimo to meet organizational objectives.
- Work collaboratively with Payor Relations to support efforts to expand patient access to Masimo Technologies by generating statistical key evidence to support private and public payer coverage decisions
- Collaborate with physicians and clinical experts to develop high-quality clinical papers, abstracts, and presentations, resulting in publications in top-tier, peer-reviewed journals.
- Communicate findings and methodologies clearly to scientific, clinical, and non-technical stakeholders.
- Ensure all projects comply with ethical standards, regulatory requirements, and internal quality guidelines.
Preferred Qualifications and
Experience:
Minimum Qualifications:
- Minimum 3 years of experience in the medical device, pharma or healthcare industry, preferably in health economics, epidemiology, real-world evidence generation, outcomes research, or related functions.
- Familiarity with and exposure to clinical development processes, research study designs and data analysis methods to include statistical analyses.
- Experience working with datasets from patient monitoring solutions and wearables (e.g., Blood pressure, Pulse Rate, ECG, Respiratory Rate, EEG, Alarms Data, EMR, hospital administrative metrics) and understanding of their clinical contextis desired.
- Demonstrated experience executing evidence generation strategies using RWD and managing multiple research projects concurrently (e.g., claims, EMR, administrative data, adaptive clinical trial designs).
- Experience contributing to research activities across the study lifecycle, including developing research questions, assessing data feasibility, supporting study design, analysis, and interpretation.
- P…
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