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Remote Real World Evidence Rwe Jobs in California

Intuitive

Research Analyst Intern

Sunnyvale, CA · On-site +1

Conduct real-world evidence studies and collaborate with cross-functional teams to translate research findings into actionable insights * Present data and findings clearly and effectively to internal ...

Vaxcyte

Medical Science Liaison

San Carlos, CA · On-site +1

$184K - $215K/yr

... real-world evidence generation. Depending on experience, the role may be leveled at Senior MSL ... Remote - United States Compensation: The compensation package will be competitive and includes ...

Doctronic Inc

Director of Research

Los Angeles, CA · On-site +1

$180K - $240K/yr

Familiarity with clinical trial design, pragmatic trials, or real-world evidence generation Why Doctronic This is a rare opportunity to expand the evidence base for a company that has already ...

Tempus

Senior Quality Engineer

Redwood City, CA · On-site +1

Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

Ossium Health

Director, Scientific Affairs

San Francisco, CA · On-site +1

$200K - $275K/yr

... remote work day * Qualified candidates must be legally authorized to be employed in the United ... Lead evidence-generation initiatives (clinical, secondary analyses, real-world evidence) to enhance ...

Tempus

Lead Quality Engineer

Redwood City, CA · On-site +1

$120K - $165K/yr

Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

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Remote Real World Evidence Rwe information

What are Remote Real World Evidence (RWE) jobs?

Remote Real World Evidence (RWE) jobs involve gathering, analyzing, and interpreting data from real-world sources—such as electronic health records, insurance claims, patient registries, and wearable devices—to inform healthcare decisions. Professionals in these roles typically work for pharmaceutical companies, research organizations, or healthcare technology firms. Remote RWE jobs allow employees to contribute to research and data analysis from home or other off-site locations, using digital tools to collaborate with teams and stakeholders. These positions are crucial for understanding how medical treatments perform outside of controlled clinical trials, ultimately improving patient care and supporting regulatory submissions.

What is the difference between Remote Real World Evidence Rwe vs Remote Data Analyst?

AspectRemote Real World Evidence RweRemote Data Analyst
Required CredentialsAdvanced degrees in healthcare, epidemiology, or biostatistics; experience with RWE methodologiesBachelor's or master's in data science, statistics, or related fields; proficiency in data analysis tools
Work EnvironmentCollaborates with healthcare providers, pharma companies, and regulatory agencies; focuses on healthcare dataWorks across industries; analyzes large datasets to inform business decisions
Industry UsagePrimarily in healthcare, pharmaceuticals, and regulatory sectorsAcross various sectors including finance, marketing, and healthcare

Remote Real World Evidence Rwe specialists focus on analyzing healthcare data to generate evidence for medical and regulatory decisions, requiring healthcare-specific knowledge. Remote Data Analysts handle diverse datasets across industries, emphasizing data processing and reporting skills. While both roles involve data analysis, RWE roles are more specialized in healthcare and regulatory contexts.

What are the key skills and qualifications needed to thrive as a Remote Real World Evidence (RWE) professional, and why are they important?

To thrive as a Remote Real World Evidence (RWE) professional, you need a strong background in epidemiology, biostatistics, or related life sciences, typically supported by an advanced degree (e.g., MPH, MS, PhD). Familiarity with statistical software such as SAS, R, or Python, and experience working with large healthcare databases and electronic health records are crucial. Excellent analytical thinking, problem-solving abilities, and effective communication skills help translate complex data into actionable insights for stakeholders. These competencies ensure the generation of robust, real-world data analyses that inform healthcare decisions and regulatory submissions.

What are some common challenges faced by Remote Real World Evidence (RWE) professionals and how can they be addressed?

Remote RWE professionals often encounter challenges such as managing large and diverse datasets, ensuring data privacy, and coordinating effectively with cross-functional teams across different time zones. To address these, it's important to have strong data management skills, familiarity with relevant regulations (like GDPR or HIPAA), and effective communication tools. Actively engaging in regular virtual meetings and leveraging collaborative platforms can help maintain alignment with stakeholders and ensure project milestones are met.
What are the most commonly searched types of Real World Evidence Rwe jobs in California? The most popular types of Real World Evidence Rwe jobs in California are:
What are popular job titles related to Remote Real World Evidence Rwe jobs in California? For Remote Real World Evidence Rwe jobs in California, the most frequently searched job titles are:
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What cities in California are hiring for Remote Real World Evidence Rwe jobs? Cities in California with the most Remote Real World Evidence Rwe job openings:
Remote Real World Evidence Rwe jobs near you
Research Analyst Intern

Research Analyst Intern

Intuitive

Sunnyvale, CA • On-site, Remote

Internship

Posted 7 days ago

Job description

Company Description
It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at Intuitive. As a global leader in robotic-assisted surgery and minimally invasive care, our technologies-like the da Vinci surgical system and Ion-have transformed how care is delivered for millions of patients worldwide.
We're a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human. Every day, our work helps care teams perform with greater precision and patients recover faster, improving outcomes around the world.
The problems we solve demand creativity, rigor, and collaboration. The work is challenging, but deeply meaningful-because every improvement we make has the potential to change a life.
If you're ready to contribute to something bigger than yourself and help transform the future of healthcare, you'll find your purpose here.
Job Description
Primary Function of Position
The Research Analyst will report to the Manager of Global Evidence Management team and will play a key role in executing scientific research projects focused on evidence synthesis, meta-analysis, and real-world evidence. The main responsibility of this position is to conduct high-quality systematic literature reviews, meta-analyses, and outcomes research, contributing to evidence generation for clinical, regulatory, policy, and commercialization strategies. The Research Analyst will collaborate with broader Global Access, Value and Economics, Market Access and Customers Analytics, Clinical and Regulatory Affairs.
Essential Job Duties
  • Execute systematic literature reviews according to PRISMA methods and Cochrane guidelines using designated systematic review tools (e.g. EndNote, RevMan, RefWorks, Nested Knowledge)
  • Perform meta-analyses using statistical analysis tools such as R software.
  • Conduct real-world evidence studies and collaborate with cross-functional teams to translate research findings into actionable insights
  • Present data and findings clearly and effectively to internal and external stakeholders
  • Prepare scientific manuscripts, abstracts, posters, and presentations for peer-reviewed journals and conferences, ensuring compliance with relevant publication standards
  • Maintain awareness of emerging methodologies and advancements in health outcomes research

Required Skills and Experience
University Hiring Program Eligibility Requirements:
  • University Enrollment: Must be currently enrolled in and returning to an accredited degree-seeking academic program after the internship.
  • Internship Work Period: Must be available to work full-time (approximately 40 hours per week) during a 10-12 week period starting May or June. Specific start dates are shared during the recruiting process.

Qualifications
Required Education and Training
  • Current enrollment in an Health Policy, Epidemiology, Biostatistics, Outcomes Research, Health Services Research or related degree-seeking program at the Master's or Doctorate level.
  • Minimum of 3 years of relevant research experience in health policy, epidemiology, biostatistics, outcomes research, or health services research
  • Demonstrated expertise in conducting systematic literature reviews according to PRISMA and Cochrane guidelines, including use of review management tools (e.g. EndNote, RevMan, RefWorks, Nested Knowledge)
  • Intermediate proficiency in statistical analysis software (e.g. R, SAS, Python) and strong statistical analysis skills
  • Prior experience with real-world data analysis and evidence generation is a plus
  • Excellent verbal and written communication skills, with proven ability to present scientific findings effectively

Working Conditions
  • Hybrid work
  • No significant physical requirements
  • Travel may be required to attend conferences or stakeholder meetings

Preferred Skills and Experience
  • 3+ more years of experience in conducting health research
  • Background in health economics or comparative effectiveness research
  • Knowledge of current trends and issues in health policy or health technology assessment
  • Familiarity with or experience in applying design of experiments (DOE) methodologies

Additional Information
Due to the nature of our business and the role, please note that Intuitive and/or your customer(s) may require that you show current proof of vaccination against certain diseases including COVID-19. Details can vary by role.
Intuitive is an Equal Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees, and prohibit discrimination and harassment of any type, without regard to race, sex, pregnancy, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws.
Mandatory Notices
U.S. Export Controls Disclaimer: In accordance with the U.S. Export Administration Regulations (15 CFR §743.13(b)), some roles at Intuitive Surgical may be subject to U.S. export controls for prospective employeeswho are nationals from countries currently on embargo or sanctions status.
Certain information you provide as part of the application will be used for purposes of determining whether Intuitive Surgical will need to (i) obtain an export license from the U.S. Government on your behalf (note: the government's licensing process can take 3 to 6+ months) or (ii) implement a Technology Control Plan ("TCP") (note: typically adds 2 weeks to the hiring process).
For any Intuitive role subject to export controls, final offers are contingent upon obtaining an approved export license and/or an executed TCP prior to the prospective employee'sstart date, which may or may not be flexible, and within a timeframe that does not unreasonably impede the hiring need. If applicable, candidates will be notified and instructed on any requirements for these purposes.
We will consider for employment qualified applicants with arrest and conviction records in accordance with fair chance laws.
We provide market-competitive compensation packages, inclusive of base pay (paid at an hourly rate), benefits, and a housing allowance. It would not be typical for someone to be hired at the top end of range for the role, as actual pay will be determined based on several factors, including relevant skills and experience for this internship, degree-seeking academic program (PhD, Master's, Bachelor's, etc), year in school, and location. The hourly rate is prorated against the intern program salaries listed and total program compensation will be based on internship duration.

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