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

As of Aug 17, 2026, the average hourly pay for internship real world evidence rwe in Hoboken, NJ is $17.01, according to ZipRecruiter salary data. Most workers in this role earn between $13.65 and $19.18 per hour, depending on experience, location, and employer.

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 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 are the key skills and qualifications needed to thrive as an internship real world evidence (RWE) professional?

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 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.

What job categories do people searching Internship Real World Evidence Rwe jobs in Hoboken, NJ look for?

The top searched job categories for Internship Real World Evidence Rwe jobs in Hoboken, NJ are:

What cities near Hoboken, NJ are hiring for Internship Real World Evidence Rwe jobs?

Cities near Hoboken, NJ with the most Internship Real World Evidence Rwe job openings:

Internship Real World Evidence Rwe jobs near you
Infographic showing various Internship Real World Evidence Rwe job openings in Hoboken, NJ as of August 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution, with an average salary of $35,375 per year, or $17 per hour.

Client Partner, Real-World Evidence

Datavant

New York, NY

Full-time

Posted 12 days ago

Datavant rating

7.1

Company rating: 7.1 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

149th of 224 rated it services

Job description

Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make the world's health data secure, accessible and actionable, we provide critical data solutions for organizations across the healthcare ecosystem - including providers, health plans, researchers, and life sciences companies. From fulfilling a single patient's request for their medical records to powering the AI revolution in healthcare, Datavanters are building the future of how data is connected and used to improve health.
By joining Datavant today, you're stepping onto a driven and highly collaborative team that is passionate about creating transformative change in healthcare.

Objective of the Role

The Client Partner, Real-World Evidence is responsible for driving growth with biopharma customers by leveraging Datavant's portfolio of real-world evidence (RWE) solutions, analytics platforms, and AI platform and services. This role will partner closely with Client Partners across key accounts for co-selling, account planning, and evidence strategy alignment.

You will serve as a trusted advisor on the use of real-world data (RWD) and RWE to support regulatory, market access, and HEOR needs - representing the voice of the customer and ensuring that Datavant's offerings meet evolving evidence generation requirements. The ideal candidate is comfortable leading complex, multi-stakeholder sales cycles and brings deep expertise in real-world data, evidence platforms, and outcomes research.

Responsibilities of the Role
  • Prospect & Generate Leads: Develop and execute strategic plans to identify and target new business opportunities in biopharma, healthcare, and life sciences with a focus on organizations investing in real-world evidence strategies for regulatory submissions, market access, and clinical development.
  • Build Pipeline: Proactively engage prospects via outbound calls, emails, and industry networking to build a robust pipeline of opportunities related to Aetion's evidence generation, AI, and analytics solutions.
  • Close Deals: Own the full sales process - from initial outreach to contract closure - ensuring alignment between customer evidence needs and Aetion's RWE offerings, including the Aetion Evidence Platform (AEP) and associated data and consulting services.
  • Client Engagement: Present Aetion's value proposition in RWE and RWD analytics through compelling demonstrations and business cases that highlight regulatory-grade evidence generation, comparative effectiveness, and real-world outcomes research. Engage with senior stakeholders including heads of HEOR, RWE, Market Access, and Clinical Development.
  • Collaborate Cross-Functionally: Partner with marketing, product, and science teams to deliver tailored RWE solution proposals, ensuring alignment with client data strategies, evidence frameworks, and regulatory expectations (e.g., FDA, EMA guidance).
  • Market Expertise: Stay current on RWE market dynamics, technology and AI, regulatory guidance for real-world data, and competitor offerings to position Aetion as a strategic leader and partner of choice in the evidence generation ecosystem.
  • Forecasting & Reporting: Maintain accurate pipeline management and forecasting in CRM systems, with attention to evidence project cycles, platform usage models, and customer expansion opportunities.
  • Drive Growth: Identify new and upsell opportunities across assigned territories and existing accounts, particularly in expanding RWE adoption for post-approval studies, safety monitoring, and market access support.
Qualifications of the Role
  • Proven Track Record: 6+ years of successful sales experience, ideally in healthcare, life sciences, or SaaS; with a strong preference for experience selling RWE, HEOR, or data analytics solutions. Background in selling AI is also to be considered.
  • RWE Expertise: Deep understanding of real-world data sources, evidence generation methodologies, and use cases across the product lifecycle — from clinical development to commercialization.
  • Hunter Mentality: Skilled at identifying, developing, and closing new RWE-focused opportunities with top biopharma clients.
  • Sales Expertise: Experience managing complex, consultative sales cycles involving scientific, commercial, and data stakeholders.
  • Technology/AI Skill Sets: Proven experience, knowledge, and market understanding on real AI-driven use cases for HEOR and RWE.
  • Presentation Skills: Exceptional ability to communicate scientific and technical value propositions to diverse audiences, including C-suite and RWE/HEOR leadership.
  • CRM Proficiency: Experienced in CRM management for tracking RWE opportunity pipelines and forecasting revenue growth.
  • Industry Knowledge: In-depth knowledge of RWE market trends, regulatory guidance, and payer evidence needs is essential.
  • Collaborative Team Player: Comfortable working with cross-functional science, data, and product teams in a fast-paced, mission-driven environment.
  • Communication Skills: Strong written and verbal communication skills, capable of translating complex RWE concepts into impactful narratives for decision-makers.

#BC-LI1

We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status.
At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services.
The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. This role is eligible for additional variable compensation.

The estimated base salary range (not including variable pay) for this role is:
$140,000—$170,000 USD

To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion.
This job is not eligible for employment sponsorship.
Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here. Know Your Rights, explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay.
At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way.
Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here. Requests for reasonable accommodations will be reviewed on a case-by-case basis.

For more information about how we collect and use your data, please review our Privacy Policy.

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