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Remote Rwe Jobs in California (NOW HIRING)

Tempus

Data Scientist II, Outcomes Research

Redwood City, CA · On-site +1

$100K - $150K/yr

Lead and execute HEOR and real-world evidence (RWE) projects (e.g., outcomes analysis, treatment ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

Ceribell, Inc

$228K - $267K/yr

Lead real-world evidence (RWE) strategy using registries and claims data. * Partner cross-functionally and manage external research vendors. * Lead publication strategy and represent the company ...

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

To thrive as a Remote Real-World Evidence (RWE) Analyst, you need strong analytical skills, expertise in epidemiology or biostatistics, and typically an advanced degree in a health-related field. Familiarity with statistical software (such as SAS, R, or Python), experience in data visualization tools, and knowledge of healthcare databases are commonly required. Excellent communication, attention to detail, and self-motivation are crucial soft skills for effectively collaborating with remote teams and stakeholders. These skills ensure high-quality, credible real-world data analysis that informs healthcare decisions and supports evidence-based practice.

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

Remote RWE professionals often face challenges such as coordinating with cross-functional teams across different time zones, ensuring secure and compliant data sharing, and maintaining clear communication in virtual settings. To address these issues, it's helpful to establish regular check-ins, utilize collaborative project management tools, and stay up to date with data privacy regulations. Building strong digital communication skills and participating in virtual team-building activities can also enhance collaboration and productivity in a remote work environment.

What are Remote RWE jobs?

Remote RWE (Real World Evidence) jobs involve analyzing and interpreting healthcare data collected outside of traditional clinical trials, such as electronic health records, insurance claims, and patient registries, while working remotely. Professionals in this field help pharmaceutical companies, healthcare providers, and regulatory agencies make informed decisions about the safety and effectiveness of medical treatments in real-world settings. Remote RWE roles typically require expertise in data analysis, epidemiology, and biostatistics, and often involve collaborating with cross-functional teams using virtual communication tools.
What are the most commonly searched types of Rwe jobs in California? The most popular types of Rwe jobs in California are:
What are popular job titles related to Remote Rwe jobs in California? For Remote Rwe jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Rwe jobs in California look for? The top searched job categories for Remote Rwe jobs in California are:
What cities in California are hiring for Remote Rwe jobs? Cities in California with the most Remote Rwe job openings:
Remote Rwe jobs near you
Infographic showing various Remote Rwe job openings in California as of May 2026, with employment types broken down into 1% Locum Tenens, 1% As Needed, 18% Full Time, 60% Part Time, 2% Temporary, and 18% Contract. Highlights an 94% Physical, and 6% Hybrid job distribution.
RWE Virology Data Analyst (San Francisco)

RWE Virology Data Analyst (San Francisco)

Medasource

San Francisco, CA • On-site, Remote

Full-time

Medical, Vision, Retirement

Posted 3 days ago

Job description

As a member of the CDS-RWE Analytics group, the RWD Analyst reports directly Head of RWE Analytics and is responsible for the design and conduct of statistical analyses of RWD to assess the value of Gilead therapies and perform data visualization and QCs TFLs to communicate results to internal stakeholders in Real World Evidence. The RWD Analyst will align with the Real-World Evidence Therapeutic Area (TA)-aligned Lead to conduct timely, relevant, and rigorous analysis of RWD to address critical research questions, as well as collaborate with CDS to develop, refine, and scale data management and analytic procedures, systems, workflows, best practices, and other issues.

Key Responsibilities

  • Develop and QC TFLs for protocols/reports/manuscripts from RWE research conducted to assess the value of the client's therapies using RWD (e.g. claims and EHR).
  • QC programming for descriptive and complex studies using RWD.
  • Conduct analyses and develop specifications for descriptive and complex statistics in studies using RWD.
  • Write the statistical analysis plan (SAP) for descriptive and complex studies using RWD, including from internal client-sponsored prospective cohort studies, claims, charge master and EHR in collaboration with RWE TA lead
  • Understand methods and programming to support Comparative Effectiveness Research (CER) analyses, as well as analyses of patient-reported outcomes (PRO) or other patient outcome data
  • Develop and QC TFLs for protocols/reports/manuscripts from RWE research conducted to assess the value of our client's therapies using RWD (e.g. claims and EHR)
  • Work with RWE researchers to generate code lists for new measures in RWD

Knowledge, Skills and Experience

  • Masters degree (e.g. MA, MSc, MPH) in Biostatistics, Epidemiology or related discipline, such as Outcomes Research from an accredited institution, with a minimum of eight (8) years of relevant, post-graduation experience.
  • Doctoral level training with a minimum of two (2) years of relevant experience is preferred. Direct experience in lieu of academic training is acceptable.
  • Knowledge of real-world data and experience in observational research study design, execution and communication.
  • Strong track record of analysis of a broad range of RWD.
  • Formal training in Programming and demonstrated proficiency in statistical analysis programs commonly used in life sciences (e.g. SAS, R).
  • Understanding of epidemiology or outcomes research and the application of retrospective or prospective studies to generate value evidence.
  • Ability to effectively communicate statistical methodology and analysis results.
  • Ability to work effectively in a constantly changing, diverse, and matrix environment.
  • Knowledge of US secondary data sources required; additional experience with international data sources is preferred.
  • Knowledge and experience in qualitative analysis and data sets (e.g., free-text natural language processing, survey data) is preferred.
Seniority level
  • Seniority levelMid-Senior level
Employment type
  • Employment typeFull-time
Job function
  • Job functionScience
  • IndustriesHospitals and Health Care and Pharmaceutical Manufacturing

Referrals increase your chances of interviewing at Medasource by 2x

Inferred from the description for this job

Vision insurance

Medical insurance

401(k)

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