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Internship Real World Evidence Rwe Jobs in Palo Alto, CA

BillionToOne

Senior Scientist, Oncology

Menlo Park, CA · On-site +1

$251.86K/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 ...

BillionToOne

Senior Scientist

Menlo Park, CA · On-site +1

$251.86K/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 ...

BillionToOne

Senior Scientist

Menlo Park, CA · On-site

$107.80K - $147.30K/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 ...

BillionToOne

Senior Scientist, Oncology

Menlo Park, CA · On-site

$107.80K - $147.30K/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 ...

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All JobsInternship Real World Evidence Rwe JobsInternship Real World Evidence Rwe Jobs in Palo Alto, CA

Internship Real World Evidence Rwe information

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How much do internship real world evidence rwe jobs pay per hour?

As of May 28, 2026, the average hourly pay for internship real world evidence rwe in Palo Alto, CA is $18.27, according to ZipRecruiter salary data. Most workers in this role earn between $14.71 and $20.62 per hour, depending on experience, location, and employer.

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

To thrive as an Internship Real World Evidence (RWE) professional, you need a solid background in life sciences, epidemiology, or statistics, often supported by progress toward a relevant degree. Familiarity with data analysis tools like SAS, R, or Python, and experience with healthcare databases or real-world data systems, are typically required. Strong analytical thinking, attention to detail, and collaborative communication skills help interns excel in cross-functional teams and data-driven projects. These competencies are crucial for generating robust, actionable insights from real-world data to inform healthcare decisions and policy.

What types of projects do interns typically work on in a Real World Evidence (RWE) internship?

As an RWE intern, you can expect to contribute to projects involving the collection, analysis, and interpretation of real-world healthcare data, such as electronic health records, claims data, or patient registries. Common responsibilities include supporting data cleaning, conducting literature reviews, assisting with statistical analyses, and preparing reports or presentations for internal teams. You will often collaborate with cross-functional teams including epidemiologists, data scientists, and medical affairs professionals, which provides excellent exposure to various aspects of the pharmaceutical or healthcare industry.

What is an Internship in Real World Evidence (RWE)?

An Internship in Real World Evidence (RWE) offers students or recent graduates hands-on experience in collecting and analyzing data from real-world sources, such as electronic health records, insurance claims, and patient registries. RWE is used in the pharmaceutical and healthcare industries to evaluate the effectiveness, safety, and value of medical treatments outside controlled clinical trials. Interns may support research studies, help interpret data, and contribute to reports that inform decision-making for healthcare providers and regulators. This type of internship is ideal for those interested in data analysis, public health, and evidence-based medicine.

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

AspectInternship Real World Evidence RweData Analyst
Required CredentialsTypically pursuing or recent graduate in healthcare, life sciences, or related fieldsBachelor's degree in statistics, mathematics, computer science, or related fields
Work EnvironmentHealthcare or pharmaceutical companies, research organizations, or academic institutionsVarious industries including finance, healthcare, marketing, and technology
Employer & Industry UsageUsed in pharmaceutical, biotech, and healthcare sectors for evidence generationWidely used across multiple industries for data analysis and reporting

While both roles involve working with data, an Internship Real World Evidence Rwe focuses on analyzing real-world healthcare data to generate evidence for medical decisions, often within healthcare or pharma settings. A Data Analyst has a broader scope, working with various data types across industries to interpret and visualize data for business insights.

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Internship Real World Evidence Rwe jobs near you
Senior Real World Evidence (RWE) Scientist - Oncology

Senior Real World Evidence (RWE) Scientist - Oncology

Cube Hub, Inc.

Foster City, CA • On-site, Remote

Other

This job post has expired today. Applications are no longer accepted.

Job description

Job Title: Senior Real World Evidence (RWE) Scientist Oncology
Remote Role
Job Duration: 6 months
We're here for one reason and one reason only to cure cancer.
Every moment is dedicated to developing treatments and every action moves us one step closer to our goal.
We've made incredible scientific breakthroughs and our pioneering personalized CAR T-cell therapies have changed the paradigm.
But we're not finished yet. as we make even bigger advances in cancer therapies, and help shape where our business and medical science goes next.
Job Description:
As Contractor, Real-World Evidence, you will provide strategic, scientific, and operational support for real-world evidence generation across the product lifecycle, with a core focus on the design and execution of external control arms (ECAs) and other complex observational studies.
This role is central to ability to contextualize single-arm trials and evolving treatment landscapes, support access, and strengthen evidence packages for innovative cell therapies.
This role, also, serves as the accountable scientific owner for high impact RWE studies intended to inform regulatory, HTA, payer, and clinical decision making. You may also serve as a leader of RWE in scientific forums, and collaborate with external physicians, scientists, and researchers, as well as alliance partners, on RWE activities.
Additional Responsibilities
Provide strategic and scientific support for the design, execution, and communication of real world evidence across the product lifecycle.
Responsible for ensuring RWE is fit for purpose for regulatory, HTA, payer, and clinical decision making.
Provide end to end support for RWE studies, including, study design, protocol and SAP development, data source selection and feasibility, vendor oversight and quality control, analysis, interpretation, reporting, and financial stewardship.
Provide RWE expertise and input for regulatory filings (e.g. MAA, BLA, sBLA) as well as response to questions from regulatory authorities and HTA agencies.
Proactively identify opportunities where RWE can address key clinical or access uncertainties.
Engage with external collaborators, registries, academic partners, and data vendors.
Mentor and train team members on RWE methodology and analytics.
Ensure scientific rigor, transparency, and reproducibility consistent with internal RWE standard.
Qualifications:
Doctoral degree (e.g. PhD, MD, ScD, PharmD) in Epidemiology or related discipline, such as Outcomes Research, Medicine, Biostatistics from an accredited institution, with a minimum of 8+ years of relevant, post-graduation experience with doctoral training OR
Master's degree (e.g. MSc) in Epidemiology or related discipline, such as Outcomes Research, Medicine, Biostatistics from an accredited institution with 10+ years of relevant experience with Master's training
Deep understanding of observational study design and causal inference, real world data sources (claims, EHR, registries), bias, confounding, and sensitivity analyses.
Strong technical reading, writing and communication skills
Prior corporate experience in hematology/oncology therapeutic area is highly preferred
Preferred: minimum of four (4) years of professional experience in the biopharmaceutical industry

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