Maintain accurate pipeline management and forecasting in CRM systems, with attention to evidence ... Deep understanding of real-world data sources, evidence generation methodologies, and use cases ...
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Maintain accurate pipeline management and forecasting in CRM systems, with attention to evidence ... Deep understanding of real-world data sources, evidence generation methodologies, and use cases ...
Maintain accurate pipeline management and forecasting in CRM systems, with attention to evidence ... Deep understanding of real-world data sources, evidence generation methodologies, and use cases ...
Maintain accurate pipeline management and forecasting in CRM systems, with attention to evidence ... Deep understanding of real-world data sources, evidence generation methodologies, and use cases ...
Maintain accurate pipeline management and forecasting in CRM systems, with attention to evidence ... Deep understanding of real-world data sources, evidence generation methodologies, and use cases ...
Maintain accurate pipeline management and forecasting in CRM systems, with attention to evidence ... Deep understanding of real-world data sources, evidence generation methodologies, and use cases ...
Maintain accurate pipeline management and forecasting in CRM systems, with attention to evidence ... Deep understanding of real-world data sources, evidence generation methodologies, and use cases ...
Maintain accurate pipeline management and forecasting in CRM systems, with attention to evidence ... Deep understanding of real-world data sources, evidence generation methodologies, and use cases ...
Maintain accurate pipeline management and forecasting in CRM systems, with attention to evidence ... Deep understanding of real-world data sources, evidence generation methodologies, and use cases ...
Maintain accurate pipeline management and forecasting in CRM systems, with attention to evidence ... Deep understanding of real-world data sources, evidence generation methodologies, and use cases ...
Maintain accurate pipeline management and forecasting in CRM systems, with attention to evidence ... Deep understanding of real-world data sources, evidence generation methodologies, and use cases ...
Maintain accurate pipeline management and forecasting in CRM systems, with attention to evidence ... Deep understanding of real-world data sources, evidence generation methodologies, and use cases ...
Maintain accurate pipeline management and forecasting in CRM systems, with attention to evidence ... Deep understanding of real-world data sources, evidence generation methodologies, and use cases ...
Maintain accurate pipeline management and forecasting in CRM systems, with attention to evidence ... Deep understanding of real-world data sources, evidence generation methodologies, and use cases ...
Maintain accurate pipeline management and forecasting in CRM systems, with attention to evidence ... Deep understanding of real-world data sources, evidence generation methodologies, and use cases ...
Maintain accurate pipeline management and forecasting in CRM systems, with attention to evidence ... Deep understanding of real-world data sources, evidence generation methodologies, and use cases ...
Maintain accurate pipeline management and forecasting in CRM systems, with attention to evidence ... Deep understanding of real-world data sources, evidence generation methodologies, and use cases ...
Maintain accurate pipeline management and forecasting in CRM systems, with attention to evidence ... Deep understanding of real-world data sources, evidence generation methodologies, and use cases ...
Maintain accurate pipeline management and forecasting in CRM systems, with attention to evidence ... Deep understanding of real-world data sources, evidence generation methodologies, and use cases ...
Maintain accurate pipeline management and forecasting in CRM systems, with attention to evidence ... Deep understanding of real-world data sources, evidence generation methodologies, and use cases ...
Maintain accurate pipeline management and forecasting in CRM systems, with attention to evidence ... Deep understanding of real-world data sources, evidence generation methodologies, and use cases ...
Maintain accurate pipeline management and forecasting in CRM systems, with attention to evidence ... Deep understanding of real-world data sources, evidence generation methodologies, and use cases ...
Maintain accurate pipeline management and forecasting in CRM systems, with attention to evidence ... Deep understanding of real-world data sources, evidence generation methodologies, and use cases ...
Maintain accurate pipeline management and forecasting in CRM systems, with attention to evidence ... Deep understanding of real-world data sources, evidence generation methodologies, and use cases ...
Maintain accurate pipeline management and forecasting in CRM systems, with attention to evidence ... Deep understanding of real-world data sources, evidence generation methodologies, and use cases ...
Maintain accurate pipeline management and forecasting in CRM systems, with attention to evidence ... Deep understanding of real-world data sources, evidence generation methodologies, and use cases ...
Maintain accurate pipeline management and forecasting in CRM systems, with attention to evidence ... Deep understanding of real-world data sources, evidence generation methodologies, and use cases ...
Maintain accurate pipeline management and forecasting in CRM systems, with attention to evidence ... Deep understanding of real-world data sources, evidence generation methodologies, and use cases ...
Maintain accurate pipeline management and forecasting in CRM systems, with attention to evidence ... Deep understanding of real-world data sources, evidence generation methodologies, and use cases ...
Maintain accurate pipeline management and forecasting in CRM systems, with attention to evidence ... Deep understanding of real-world data sources, evidence generation methodologies, and use cases ...
Maintain accurate pipeline management and forecasting in CRM systems, with attention to evidence ... Deep understanding of real-world data sources, evidence generation methodologies, and use cases ...
Maintain accurate pipeline management and forecasting in CRM systems, with attention to evidence ... Deep understanding of real-world data sources, evidence generation methodologies, and use cases ...
Maintain accurate pipeline management and forecasting in CRM systems, with attention to evidence ... Deep understanding of real-world data sources, evidence generation methodologies, and use cases ...
Maintain accurate pipeline management and forecasting in CRM systems, with attention to evidence ... Deep understanding of real-world data sources, evidence generation methodologies, and use cases ...
Director Real World Evidence
$140K - $180K/yr
Our Real World Evidence team is hiring a Director to lead teams of research professionals ... As a project manager, you will be responsible for ensuring overall quality; develop recommendations ...
Director Real World Evidence
$140K - $180K/yr
Our Real World Evidence team is hiring a Director to lead teams of research professionals ... As a project manager, you will be responsible for ensuring overall quality; develop recommendations ...
Director, Real World Evidence
$204K - $306K/yr
The Director of Real-World Evidence (RWE) will provide (scientific/strategic/tactical/etc ... contract management and financial reporting * Experience with big data analytical platforms * A ...
Director, Real World Evidence
$204K - $306K/yr
The Director of Real-World Evidence (RWE) will provide (scientific/strategic/tactical/etc ... contract management and financial reporting * Experience with big data analytical platforms * A ...
... support real-world evidence (RWE) research efforts. This role is well-suited for recent PhD ... While guidance and mentorship will be available, the ability to work independently and manage tasks ...
... support real-world evidence (RWE) research efforts. This role is well-suited for recent PhD ... While guidance and mentorship will be available, the ability to work independently and manage tasks ...
Real World Evidence Manager information
See salary details
$23.5K - $42K
7% of jobs
$42K - $60.5K
8% of jobs
$76.7K is the 25th percentile. Wages below this are outliers.
$60.5K - $79K
11% of jobs
$79K - $97.5K
6% of jobs
$97.5K - $116K
9% of jobs
$116K - $134.5K
3% of jobs
The median wage is $140.1K / yr.
$134.5K - $153K
16% of jobs
$170.5K is the 75th percentile. Wages above this are outliers.
$153K - $171.5K
15% of jobs
$171.5K - $190K
12% of jobs
$190K - $208.5K
7% of jobs
$208.5K - $227K
5% of jobs
$23.5K
$133.2K
$227K
How much do real world evidence manager jobs pay per year?
As of Jun 30, 2026, the average yearly pay for real world evidence manager in the United States is $133,228.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,000.00 and $176,000.00 per year, depending on experience, location, and employer.
What is the difference between Real World Evidence Manager vs Data Analyst in the healthcare industry?
| Aspect | Real World Evidence Manager | Data Analyst |
|---|---|---|
| Required credentials | Bachelor's or Master's in Life Sciences, Public Health, or related fields; experience with RWE | Bachelor's or Master's in Statistics, Mathematics, or related fields; proficiency in data analysis tools |
| Work environment | Pharmaceutical companies, CROs, healthcare organizations | Healthcare providers, research institutions, biotech firms |
| Employer and industry usage | Used to manage and interpret real-world data for evidence generation | Used to analyze healthcare data for insights and reporting |
The Real World Evidence Manager focuses on overseeing the collection and analysis of real-world data to support healthcare decisions, while the Data Analyst primarily interprets healthcare data to generate reports and insights. Both roles require strong analytical skills but differ in their focus on evidence management versus data analysis.
More about Real World Evidence Manager jobs
What cities are hiring for Real World Evidence Manager jobs? Cities with the most Real World Evidence Manager job openings:
What are the most commonly searched types of Real World Evidence jobs? The most popular types of Real World Evidence jobs are:
What states have the most Real World Evidence Manager jobs? States with the most job openings for Real World Evidence Manager jobs include:
What job categories do people searching Real World Evidence Manager jobs look for? The top searched job categories for Real World Evidence Manager jobs are:
Datavant rating
7.0
Based on 100 frontline employees who took The Breakroom Quiz
130th of 207 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.
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.
- 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—$160,000 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.
About Datavant
Sourced by ZipRecruiter
Industry
Software development
Company size
51 - 200 Employees
Headquarters location
San Francisco, CA, US
Year founded
2017