Data Scientist

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 Data Scientist 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.

Evidence Generation

• 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.

Data Science, Analytics and Management

• 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

Strategic Business Partnership and Market Access

• 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

Clinical and Scientific Communication / Publications

• 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.

Regulatory, Quality and Compliance

• Ensure all projects comply with ethical standards, regulatory requirements, and internal quality guidelines.

Minimum & 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.

Preferred Qualifications:

• 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 context is 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.
• Proficiency in applied statistics, statistical programming and database languages (SQL, R, Python, MATLAB, Pandas etc.)
• Familiarity with AI frameworks such as Pytorch, Tensorflow, Keras, etc.), desired.
• Experience working with real-world data (EHR, claims, registries, digital health) and familiarity with their opportunities and limitations.
• Knowledge of endpoint validation frameworks and regulatory requirements (e.g., FDA/EMA).
• Experience working with external partners and customers to support market access, portfolio planning, and commercialization initiatives using data and evidence.
• Experience collaborating with hospitals, physicians, and professional organizations to help advance health economics and reimbursement activities in support of commercialization and sales/marketing objectives.
• Outstanding organizational, verbal, and written communication skills, with the ability to create statistical visualizations in support of technical and business reports, internal presentations, and publication-ready manuscripts.

Education:

• Ph.D. or M.S. degree in Bioinformatics, Computational Biology, Computer Science, Health Economics, Mathematics, Physics or similar quantitative discipline preferred.

Compensation: The anticipated range for this position is $100,000 - $140,000. Actual placement within the range is dependent on multiple factors, including but not limited to skills, education, and experience. This position also qualifies for up to 10% annual bonus based on Company, department, and individual performance.

Physical requirements/Work Environment

This position primarily works in an office environment. It requires frequent sitting, standing and walking. Daily use of a computer and other computing and digital devices is required. May stand for extended periods when facilitating meetings or walking in the facilities. Some travel is necessary, approximately 10%.

The physical demands of the position described herein are essential functions of the job and employees must be able to successfully perform these tasks for extended periods. Reasonable accommodations may be made for those individuals with real or perceived disabilities to perform the essential functions of the job described.

#LI-Onsite