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Aetion Jobs (NOW HIRING)

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 ...

Aetion information

What is Aetion?

Aetion is a healthcare technology company that provides a platform for real-world evidence analytics. Employees at Aetion typically work on developing software, analyzing healthcare data, and supporting clients in the pharmaceutical, payer, and regulatory sectors to generate evidence about the safety, effectiveness, and value of medical treatments. Roles at Aetion vary from software engineering and data science to epidemiology, client success, and product management. The company is known for its collaborative culture and focus on using data to improve healthcare decision-making.

What are the key skills and qualifications needed to thrive as an Aetion data analyst?

To thrive as a data analyst at Aetion, you need strong analytical and statistical skills, a background in life sciences or public health, and experience with real-world data. Familiarity with data analysis tools like SQL, R, or Python, and experience using healthcare databases or platforms such as Aetion Evidence Platform are typically required. Excellent problem-solving, communication, and attention to detail are crucial soft skills for translating complex data into actionable insights for stakeholders. These capabilities ensure reliable evidence generation, support critical healthcare decisions, and drive value for clients and partners.

What are some common challenges faced by data analysts at Aetion, and how does the team support overcoming them?

Data analysts at Aetion often work with large, complex healthcare datasets, which can present challenges in data cleaning, harmonization, and ensuring data privacy. The team supports analysts through collaborative problem-solving sessions, access to robust documentation, and regular meetings with data engineers and scientists to address technical issues. Additionally, ongoing training and mentorship help analysts stay current with industry best practices, promoting both individual growth and high-quality project outcomes.

What is the difference between Aetion vs Data Analyst?

AspectAetionData Analyst
Required credentialsAdvanced degrees in health, statistics, or data science; experience with healthcare dataBachelor's or master's in data science, statistics, or related fields
Work environmentHealthcare analytics firms, pharmaceutical companies, health insurersVarious industries including healthcare, finance, marketing
Employer usageUsed for real-world evidence, health outcomes researchUsed for data interpretation, reporting, and insights

While both roles involve data analysis, Aetion specializes in healthcare data and real-world evidence, often requiring advanced healthcare knowledge. Data Analysts have broader roles across industries, focusing on interpreting data to inform business decisions. Understanding these differences helps in choosing the right career path or job search focus.

More about Aetion jobs
Infographic showing various Aetion job openings in the United States as of August 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 86% Physical, and 14% Remote job distribution.

Client Partner, Real-World Evidence

Datavant

Remote

Full-time

Posted 29 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 226 rated it services


Job description

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.

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