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Real World Evidence Rwe Jobs in Santee, CA (NOW HIRING)

Dexcom, Inc.

Chief Medical Officer

San Diego, CA · On-site

Own the evidence roadmap and ensure the right mix of clinical studies and real-world evidence supports adoption, guidelines, and growth. * Lead HEOR and RWE efforts, producing payer-ready evidence ...

RXinsider LTD.

Chief Medical Officer

San Diego, CA · On-site

$231.90 - $481.50/hr

Own the evidence roadmap and ensure the right mix of clinical studies and real-world evidence supports adoption, guidelines, and growth. * Lead HEOR and RWE efforts, producing payer-ready evidence ...

Dexcom

Chief Medical Officer

San Diego, CA · On-site

Own the evidence roadmap and ensure the right mix of clinical studies and real-world evidence supports adoption, guidelines, and growth. * Lead HEOR and RWE efforts, producing payer-ready evidence ...

Travere

Senior Biostatistician

San Diego, CA · On-site +1

  • Medical

  • Life

  • Retirement

  • PTO

... Real World Evidence (RWE), and Market Access activities in support of drug development and commercialization. This role contributes to statistical aspects of assigned studies or projects to ensure ...

Travere Therapeutics

Senior Biostatistician

San Diego, CA · On-site

  • Medical

  • Life

  • Retirement

  • PTO

... Real World Evidence (RWE), and Market Access activities in support of drug development and commercialization. This role contributes to statistical aspects of assigned studies or projects to ensure ...

Dexcom Inc.

Chief Medical Officer

San Diego, CA · On-site

$231.90 - $481.50/hr

... real-world evidence, and medical governance across Dexcom's portfolio in diabetes and metabolic ... Lead HEOR and RWE efforts, producing payer‑ready evidence and reimbursement support in tight ...

Jj

Senior Director, Immunology Data & AI Systems

San Diego, CA · On-site +1

$52.75 - $72.75/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... and real-world data (RWD/RWE)-are standardized, productized, and integrated into Johnson and ... evidence generation, resulting in better access and use. Key Responsibilities * Lead a team to ...

Neurocrine Biosciences

Director, HEOR

San Diego, CA

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Director will partner cross-functionally to ensure that clinical, economic, and real-world evidence are synthesized into clear, compelling value narratives appropriate for senior internal ...

Neurocrine Biosciences, Inc.

Director, HEOR

San Diego, CA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Director will partner cross-functionally to ensure that clinical, economic, and real-world evidence are synthesized into clear, compelling value narratives appropriate for senior internal ...

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All JobsReal World Evidence Rwe JobsReal World Evidence Rwe Jobs in Santee, CA

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 real world evidence (RWE)?

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?

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 collaborate with cross-functional teams?

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 cities near Santee, CA are hiring for Real World Evidence Rwe jobs?

Cities near Santee, CA with the most Real World Evidence Rwe job openings:

Real World Evidence Rwe jobs near you

Sr. Scientist I, Translational Genetics & Real-World Evidence

Arrowhead Pharmaceuticals

San Diego, CA • On-site

Full-time

Re-posted 21 days ago

Job description

Arrowhead Pharmaceuticals, Inc. (Nasdaq ARWR) is a commercial stage biopharmaceutical company that develops medicines that treat intractable diseases by silencing the genes that cause them. Using a broad portfolio of RNA chemistries and efficient modes of delivery, Arrowhead therapies trigger the RNA interference mechanism to induce rapid, deep, and durable knockdown of target genes. RNA interference, or RNAi, is a mechanism present in living cells that inhibits the expression of a specific gene, thereby affecting the production of a specific protein. Arrowhead's RNAi-based therapeutics leverage this natural pathway of gene silencing.
Arrowhead is focused on developing innovative drugs for diseases with a genetic basis, typically characterized by the overproduction of one or more proteins that are involved with disease. The depth and versatility of our RNAi technologies enables us to potentially address conditions in virtually any therapeutic area and pursue disease targets that are not otherwise addressable by small molecules and biologics. Arrowhead is leading the field in bringing the promise of RNAi to address diseases outside of the liver, and our clinical pipeline includes disease targets in the liver and lung with a promising pipeline of preclinical candidates.
Arrowhead's corporate headquarters is in Pasadena, CA with research and development teams in Madison, WI & San Diego, CA, and a state of the art manufacturing facility in Verona, WI. Our employees are nimble, science-driven innovators who are collaborating to bring new therapies to patients in need.
The Position
The Senior Scientist will contribute to the integration of human genetics, multi-omics datasets, and real-world clinical data to generate human evidence supporting therapeutic development. This role will work at the intersection of translational genetics, computational biology, and real-world evidence (RWE) analytics to support target validation, patient stratification, clinical endpoint evaluation, and indication prioritization across Arrowhead therapeutic programs. The successful candidate will collaborate closely with the Translational Genetics & Data Science team as well as cross-functional partners including Real-World Evidence, Clinical Development, Translational Medicine, and Discovery Biology. The role will leverage large-scale biobank datasets, electronic health records (EHR), and other clinical datasets to translate human data into actionable insights supporting drug discovery and development. This position will play an important role in converting Arrowhead's growing access to biobank data and established computational pipelines into high-value insights that inform therapeutic strategy and precision medicine approaches.
This role is onsite 5 days a week in San Diego.
Responsibilities
  • Integrate human genetics, multi-omics datasets, and real-world clinical data to generate evidence supporting therapeutic target validation and indication prioritization
  • Analyze large-scale biobank and population datasets to identify genetic associations and disease mechanisms relevant to Arrowhead therapeutic programs
  • Collaborate with the Real-World Evidence (RWE) team to analyze clinical datasets including electronic health records (EHR), claims databases, registries, and longitudinal cohort data
  • Conduct statistical and computational analyses to characterize disease progression, patient heterogeneity, and treatment outcomes using real-world datasets
  • Translate genetic findings and clinical observations into hypotheses that inform biomarker strategies, patient stratification, and clinical trial design
  • Develop scalable analytical workflows to integrate genetics, omics, and clinical data sources
  • Work collaboratively with cross-functional teams including Discovery Biology, Clinical Development, Translational Medicine, and Data Science to support program decisions
  • Present results to internal stakeholders and contribute to internal reports, project discussions, and scientific publications
  • Manage multiple projects simultaneously and communicate progress and findings effectively to project teams and leadership
  • Adhere to data governance and compliance standards when working with sensitive clinical datasets

Requirements
  • PhD in Biostatistics, Statistical Genetics, Epidemiology, Bioinformatics, Computational Biology, Biomedical Data Science, or a related quantitative discipline
  • 3+ years of experience in human genetics, biomedical data science, or real-world data analytics
  • Strong experience leveraging AI/LLMs to accelerate end-to-end research workflows, including coding, data analysis, literature synthesis, and report generation, with demonstrated improvements in efficiency and output quality.
  • Experience working with biobank-scale datasets and real-world data sources such as EHR, claims databases, registries, or population cohorts
  • Strong background in statistical genetics, epidemiology, or observational data analysis
  • Experience integrating genetics, omics, and clinical datasets
  • Proficiency in R or Python for large-scale data analysis
  • Excellent problem-solving, analytical, and communication skills
  • Ability to work effectively in a fast-paced, collaborative, and cross-functional research environment

Preferred
  • Post-doc and industry experience
  • Experience analyzing large-scale population genetics datasets such as UK Biobank, FinnGen, All of Us, or Genomics England
  • Familiarity with analytical frameworks including phenome-wide association studies (PheWAS), Mendelian randomization, causal inference methods, and survival analysis
  • Experience working with real-world clinical data models such as OMOP / OHDSI
  • Experience collaborating with clinical development or real-world evidence teams
  • Experience applying machine learning or advanced statistical methods to biomedical datasets
  • Strong interest in translating human data into actionable insights for drug development

California pay range
$145,000-$165,000 USD
Arrowhead provides competitive salaries and an excellent benefit package.
Candidates must have current, valid authorization to work in the country where this role is located.
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