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Real World Evidence Rwe Jobs in California (NOW HIRING)

Senior Scientist

Menlo Park, CA · On-site +1

$251K/yr

Leveraging this rich dataset, the scientist will generate clinically meaningful insights and real-world evidence (RWE) to improve treatment decisions and advance precision oncology. This role will ...

Leveraging this rich dataset, the scientist will generate clinically meaningful insights and real-world evidence (RWE) to improve treatment decisions and advance precision oncology. This role will ...

The Senior Clinical Research Scientist will provide scientific and technical leadership for real-world evidence (RWE) studies supporting post-market regulatory requirements, reimbursement, clinical ...

The Real-World Evidence (RWE) function at Gilead is part of the Clinical Data Sciences (CDS) department within the Clinical Development organization and aims to unlock the power of Real-World Data ...

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Real World Evidence Rwe information

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

AspectReal World Evidence RweClinical Data Analyst
Required credentialsTypically requires a background in healthcare, epidemiology, or biostatistics, often with a master's or PhDUsually requires a degree in health informatics, biostatistics, or related fields, with similar certifications
Work environmentPrimarily in healthcare, pharmaceutical, or research organizations analyzing real-world dataIn clinical research settings, hospitals, or pharmaceutical companies analyzing clinical trial data
Employer and industry usageUsed by pharma companies, healthcare providers, and research institutions to generate real-world insightsUsed by research organizations, hospitals, and pharma for clinical trial data management and analysis

Real World Evidence Rwe professionals focus on analyzing data from real-world settings like electronic health records and insurance claims, while Clinical Data Analysts primarily work with clinical trial data. Both roles require strong analytical skills and related credentials, but Rwe specialists emphasize real-world data sources to inform healthcare decisions.

What is the difference between RWE and real-world data?

In the context of a Real World Evidence (RWE) role, real-world data (RWD) refers to the raw data collected from sources like electronic health records, claims databases, and patient registries. RWE is the clinical evidence generated by analyzing and interpreting RWD to inform healthcare decisions, regulatory approvals, and policy making. RWD is the data input, while RWE is the meaningful insights derived from that data through analysis and research methods.

How do you get into RWE?

To enter a role in Real World Evidence (RWE), candidates typically need a background in healthcare, epidemiology, or data science, along with skills in biostatistics and familiarity with electronic health records and real-world data sources. Gaining experience through relevant internships, certifications, or advanced degrees can improve prospects. Proficiency in statistical software and understanding of regulatory requirements are also valuable.

What is Real World Evidence (RWE) in the healthcare industry?

Real World Evidence (RWE) refers to clinical evidence regarding the usage and potential benefits or risks of a medical product, derived from analysis of real-world data (RWD). This data is collected from sources outside of traditional clinical trials, such as electronic health records, insurance claims, patient registries, and wearable devices. RWE plays a crucial role in understanding how treatments work in routine clinical practice, informing regulatory decisions, and supporting drug development and market access. Organizations use RWE to complement clinical trial data, improving healthcare outcomes and patient care.

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

To thrive as a Real World Evidence (RWE) professional, you need a strong background in epidemiology, biostatistics, and data analysis, often supported by an advanced degree in a relevant scientific field. Familiarity with statistical software (such as SAS, R, or Python), real-world data sources (like EHRs and claims databases), and regulatory guidelines (FDA/EMA) is essential. Strong communication, problem-solving, and cross-functional collaboration skills help convey complex findings to stakeholders and integrate RWE into decision-making. These competencies are crucial for generating credible insights that inform clinical, regulatory, and commercial strategies in the healthcare industry.

How does a Real World Evidence (RWE) professional typically collaborate with cross-functional teams in the pharmaceutical industry?

RWE professionals often work closely with colleagues from epidemiology, health economics, medical affairs, and regulatory affairs to design and execute studies using real-world data. Collaboration is essential, as RWE findings support evidence generation for regulatory submissions, market access, and post-marketing surveillance. Regular meetings, data-sharing sessions, and joint project planning are common, ensuring all stakeholders are aligned on study objectives, methodologies, and data interpretation. This collaborative environment helps translate complex data into actionable insights that support decision-making across the organization.

What are examples of real world evidence?

Real World Evidence (RWE) in the context of a role like a Real World Evidence professional involves data collected from sources outside traditional clinical trials, such as electronic health records, insurance claims, patient registries, and wearable devices. These data sources are analyzed to assess treatment effectiveness, safety, and healthcare outcomes in real-world settings, often using statistical and data management tools. RWE helps inform healthcare decisions and regulatory approvals by providing insights from diverse patient populations outside controlled environments.

What is RWE real world evidence?

Real World Evidence (RWE) is data collected from real-world settings such as electronic health records, claims data, and patient registries. In the context of a role like a Real World Evidence (RWE) professional, it involves analyzing this data to support healthcare decision-making, regulatory submissions, and clinical research using statistical tools and data management skills.
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 job categories do people searching Real World Evidence Rwe jobs in California look for? The top searched job categories for Real World Evidence Rwe jobs in California are:
What cities in California are hiring for Real World Evidence Rwe jobs? Cities in California with the most Real World Evidence Rwe job openings:
Real World Evidence (RWE) Analyst

Real World Evidence (RWE) Analyst

Lancesoft

Santa Monica, CA • On-site

$70 - $86.33/hr

Full-time

Posted 28 days ago


Job description

Job Description
Job Title: Real World Evidence (RWE) Analyst
Location: 100% Remote
Contract Duration: 06 Months
Pay Range: $70.00 - $86.33 USD hourly on W2

Job Description:
The RWE Analyst will contribute to the Real-World Evidence/Health Economic Outcomes Research (RWE/HEOR) Team as part of an effort to contribute to the strategies of the broader Evidence Generation Team, which will include the conduct of timely, relevant, and rigorous analysis of real-world data (RWD) to address critical research questions and contribute to cross-functional initiatives.
The RWE Analyst will be responsible for developing, reviewing, and providing feedback on study documents, such as protocols and statistical analysis plans, and executing planned data analyses using administrative claims, electronic health record (EHR), and observational registry databases. The RWE Analyst will work closely with project teams to manage timelines and workflows, and to communicate results and updates to internal cross-functional stakeholders, including people from Biometrics, Clinical Operations, and Safety.
The RWE Analyst will have access to real-world databases licensed across Gilead and and act as stewards of Gilead's and best research practices, standards, and methodologies underlying the use of RWE.
Key Responsibilities:
Support development of and provide critical appraisal of study protocols for research projects using RWD (e.G., medical claims, EHR, and observational registry databases)
Lead or support development of statistical analysis plans in collaboration with internal stakeholders (e.G., Biometrics and programming team members)
Conduct data reviews for primary/secondary data collected to ensure quality and reliability
Communicate study results with a broader internal cross-functional audience
Adapt performance metrics and dashboards for RWE projects
Support preparation of reports and/or publication materials (e.G., abstracts, manuscripts)
Support cross-functional initiatives to develop and refine internal procedures, workflows, and best practices
Basic Qualifications
Master s degree in Epidemiology, Biostatistics, Statistics or related discipline from an accredited institution and 4+ years of experience working with a broad range of RWD, in academia, at a contract research organization, or in the biopharmaceutical industry
OR
Bachelor s degree in Epidemiology, Biostatistics, Statistics or related discipline from an accredited institution and 6+ years of experience working with a broad range of RWD, in academia, at a contract research organization, or in the biopharmaceutical industry
Preferred Qualifications:
Master s degree or Doctoral level training in Epidemiology, Biostatistics, Statistics or related discipline from an accredited institution
4+ years of oncology research experience highly preferred
In-depth knowledge of claims-based RWD (e.G., HealthVerity, Optum) and prior experience of using claims-based RWD in oncology research
Experience working with EHRs (e.G., IQVIA, Flatiron) and registry databases
Prior experience of using RWD for RWE in regulatory applications, post-marketing studies, and pharmacovigilance
Experience with external control arm (ECA) methodologies
In-depth understanding of the principles of epidemiologic research methods and statistical concepts in support of the analyses and demonstrated proficiency in statistical analysis programming languages commonly used in life sciences (e.G., SAS, R)
Experience in biopharmaceutical industry
Excellent verbal, written and presentation skills, including the ability to effectively communicate statistical methodology and analysis results
Ability to work independently and collaboratively in a constantly changing, diverse, and matrix environment
Meet Your Recruiter
Medhaj Gajjar

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About LanceSoft

Sourced by ZipRecruiter

Established in 2000, LanceSoft is a Certified MBE and Woman-Owned organization. Lancesoft Inc. is one of the highest rated companies in the industry. We have been recognized as one of the Largest Staffing firms and ranked in the top 50 fastest Growing Healthcare Staffing firms in 2022. Lancesoft offers short- and long-term contracts, permanent placements, and travel opportunities to credentialed and experienced professionals throughout the United States. We pride ourselves on having industry leading benefits. We understand the importance of partnering with an expert who values your needs, which is why we're 100% committed to finding you an assignment that best matches your career and lifestyle goals. Our team of experienced career specialists takes the time to understand your needs and match you with the right job Lancesoft has been chosen by Staffing Industry Analysts as one of the Best Staffing Firms to Work for.LanceSoft specializes in providing Registered Nurses, Nurse Practitioners, LPNs/LVNs, Social Workers, Medical Assistants, and Certified Nursing Assistants to work in Acute Care Centers, Skilled Nursing Facilities, Long-Term Care centers, Rehab Facilities, Behavioral Health Centers, Drug & Alcohol Facilities, Home Health & Community Health, Urgent Care Clinics, and many other provider-based facilities.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Herndon, VA, US

Year founded

2000

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