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Data Scientist Research Analyst Jobs in Riverside, CA

Job Title: Sr. Data Scientist Location: Irvine, CA (Hybrid - Onsite and Remote) or San Francisco ... Strong hands-on skills in Data Analytics and ML-Ops. Ability to turn state-of-the-art research into ...

Job Title Research Analyst Summary The Analyst reports to the Regional Manager. The Analyst is ... Specifically, this position provides support for gathering and analyzing local market data and ...

Job Title Research Analyst Summary The Analyst reports to the Regional Manager. The Analyst is ... Specifically, this position provides support for gathering and analyzing local market data and ...

Research Analyst

Irvine, CA ยท On-site

$81K/yr

Job Title Research Analyst Summary The Analyst reports to the Regional Manager. The Analyst is ... Specifically, this position provides support for gathering and analyzing local market data and ...

Job Title Research Analyst Summary The Analyst reports to the Regional Manager. The Analyst is ... Specifically, this position provides support for gathering and analyzing local market data and ...

Research Analyst

Irvine, CA ยท On-site

$81K/yr

Job Title Research Analyst Summary The Analyst reports to the Regional Manager. The Analyst is ... Specifically, this position provides support for gathering and analyzing local market data and ...

... research Documentation of logic and results Presentation of logic and results to team and ... Scikit-Learn, Numpy Analytics: Regression, Classification, Clustering, (Decision Trees, SVM, Linear ...

Data Scientist II

Irvine, CA ยท On-site

$121K - $166K/yr

Overview We are looking for a Data Scientist II to support analytics, machine learning, and AI ... high-quality research and clinical diagnostic products. We help people everywhere live longer ...

Data Scientist

Irvine, CA ยท On-site

$100K - $130K/yr

DATA SCIENTIST REPORTS TO: DIRECTOR OF DATA SCIENCE STATUS: EXEMPT Summary Boot Barn is where ... Conduct exploratory data analysis, statistical modeling, causal inference, and A/B experimentation ...

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Data Scientist Research Analyst information

What does a research data scientist do?

A research data scientist analyzes large datasets to extract insights, develop models, and support decision-making. They often use statistical methods, machine learning tools, and programming languages like Python or R, working in research or development environments to solve complex problems. Strong analytical skills and knowledge of data management are essential for this role.

What are Data Scientist Research Analysts?

Data Scientist Research Analysts are professionals who use statistical, analytical, and computational techniques to extract insights from data and support business or research decisions. They combine skills in data science, such as machine learning and programming, with research analysis methods to interpret complex datasets, identify patterns, and generate actionable recommendations. Their work often involves collecting, cleaning, and analyzing data, building predictive models, and communicating findings to stakeholders. Data Scientist Research Analysts work in a variety of industries, including finance, healthcare, technology, and government.

How do Data Scientist Research Analysts typically collaborate with other teams within an organization?

Data Scientist Research Analysts often work closely with cross-functional teams such as engineering, product management, and business strategy. They translate complex data findings into actionable insights that inform decision-making across departments. Collaboration may involve regular meetings to align on project goals, sharing data visualizations, and communicating technical results to non-technical stakeholders. This collaborative environment helps ensure that data-driven solutions are both technically robust and aligned with organizational objectives.

What is the difference between Data Scientist Research Analyst vs Data Analyst?

AspectData Scientist Research AnalystData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldsBachelor's degree in Statistics, Mathematics, or related fields
Work EnvironmentResearch-focused, often in tech, finance, or healthcare industriesBusiness or corporate settings, supporting decision-making
Employer & Industry UsageResearch institutions, tech companies, large corporationsRetail, finance, marketing, and other industries
Common Search & ComparisonOften compared for data analysis and research rolesMore general data analysis roles

The main difference is that Data Scientist Research Analysts focus on advanced research, modeling, and predictive analytics, often requiring higher technical skills and specialized education. Data Analysts typically handle data cleaning, reporting, and basic analysis to support business decisions. Both roles overlap in data handling but differ in complexity and scope.

What are the key skills and qualifications needed to thrive as a Data Scientist Research Analyst, and why are they important?

To thrive as a Data Scientist Research Analyst, you need strong analytical skills, statistical knowledge, and proficiency in programming languages such as Python or R, usually supported by a degree in data science, statistics, or a related field. Familiarity with data visualization tools (like Tableau or Power BI), machine learning frameworks, and experience with databases (SQL) are typically required. Critical thinking, problem-solving abilities, and effective communication are essential soft skills for transforming complex data into actionable insights. These skills are crucial for generating valuable research outcomes, supporting business decisions, and effectively conveying data-driven findings to stakeholders.

Can a data scientist do the job of a data analyst?

A data scientist can often perform the tasks of a data analyst, as both roles involve analyzing data to extract insights. However, data scientists typically have more advanced skills in machine learning, statistical modeling, and programming, which may go beyond the scope of a data analyst's responsibilities. The roles can overlap, but the specific job requirements depend on the organization and project needs.

Is 40 too late for data science?

Data Scientist Research Analysts can enter the field at any age, as success depends on skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant knowledge in programming, statistics, and tools like Python or R. Age is less important than demonstrated expertise and the ability to adapt to evolving technologies.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of the results come from 20% of the efforts or data. Data scientists often use this concept to focus on the most impactful features, data subsets, or models to improve efficiency and outcomes.
What are popular job titles related to Data Scientist Research Analyst jobs in Riverside, CA? For Data Scientist Research Analyst jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Data Scientist Research Analyst jobs in Riverside, CA look for? The top searched job categories for Data Scientist Research Analyst jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Data Scientist Research Analyst jobs? Cities near Riverside, CA with the most Data Scientist Research Analyst job openings:
Infographic showing various Data Scientist Research Analyst job openings in Riverside, CA as of July 2026, with employment types broken down into 91% Full Time, 5% Part Time, 1% Temporary, and 3% Contract. Highlights an 82% Physical, 8% Hybrid, and 10% Remote job distribution.
Clinical Research Data Scientist (RWE)

Clinical Research Data Scientist (RWE)

Masimo

Irvine, CA โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post hasย expired today.ย Applications are no longer accepted.


Job description

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 Planningย 

  • 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:ย 

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 contextย 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.)ย 
  • 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.ย 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.

  • Masimo offers benefits such as Medical, Dental, Vision, Life/AD&D, Disability Insurance, 401(k), Vacation, Sick, Holiday, Paid Maternity Leave, Flexible Spending Accounts, voluntary Accident, Critical Illness, Hospital, Long-Term Care, Employee Assistance Program, Pet Insurance, on-site Wellness Clinic, Fitness Center, Cafe. All benefits are subject to eligibility requirements.
  • ย 

Physical requirements/Work Environmentย 

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

For over thirty years, Masimo has been expanding the boundaries of noninvasive monitoring to improve patient outcomes and reduce the cost of care. Today, Masimo delivers a portfolio of hospital-trusted monitoring solutions to help increase patient safety, health, and wellness in the hospital and at home. When you join our team, you'll be part of a culture that's driven by passion, challenging the status quo, and making an impact in the lives of others.

This employer participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here:ย click here

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About Masimo

Sourced by ZipRecruiter

Industry

Medical equipment and supplies manufacturing

Company size

1,001 - 5,000 Employees

Headquarters location

Irvine, CA, US

Year founded

1989

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