Manager/Senior Manager - RWE (1214)

About Axtria 

Axtria is a global leader in cloud software and data analytics for the Life Sciences industry, empowering organizations to transform their product commercialization journey and improve patient outcomes. Our mission is rooted in the belief that data-driven decisions can accelerate innovation and deliver better healthcare globally. 

Since our founding in 2010, Axtria has consistently led the industry in technology innovation, with a strong focus on AI/ML-powered platforms and proprietary accelerators that drive measurable impact. Axtria’s latest innovations include: 

• Agentic AI and Generative AI (GenAI) tools that automate complex forecasting, clinical reporting, and patient segmentation with unprecedented speed and accuracy. 

• Smart extrapolation tools and GenAI literature synthesis engines that enhance epidemiological modeling and market forecasting. 

• A Life Sciences  Axtria InsightsMax.AI  platform with over 30 deployable agents for experimentation, enabling next-best-action omnichannel engagement and predictive analytics. 

Our platforms are built to scale, integrating structured and unstructured data across 300+ life sciences datasets, and leveraging natural language processing (NLP), machine learning, and pre-built business rule libraries to deliver real-time, role-based insights. We are proud to be featured on prestigious lists such as INC 5000, Deloitte FAST 500, and NJBiz FAST 50. 

At Axtria, people are our biggest asset. Our collaborative culture, structured learning through Axtria Institute, and customized career progression plans ensure that every associate thrives while contributing to meaningful work. Join us in shaping the future of healthcare through data, technology, and innovation. 

Role Overview 

We are seeking a strategic and execution-focused professional with a strong foundation in Real-World Evidence (RWE) and experience in Health Economics and Outcomes Research (HEOR) and Evidence Synthesis (ES).  

Axtria’s RWE/HEOR/Evidence Synthesis (ES) practice is growing rapidly, fueled by a culture of excellence, collaboration, and innovation ( AI-Powered RWE, HEOR & Evidence Synthesis Solutions ).

Culturally, we are seeking an individual who embodies these core values and leads by example across all three pillars.

Technically, this role supports the execution of real-world evidence (RWE) studies with scientific rigor and strategic insight. Reporting to an Associate Director or Director, the individual will contribute to the design, implementation, and communication of RWE, health economics and outcomes research (HEOR), and evidence synthesis strategies that inform client objectives—including market access and clinical decision-making.

Key Responsibilities

• Lead and support the design and execution of RWE studies, including retrospective database analyses and observational research. 

• Collaborate with internal stakeholders to align RWE/HEOR strategies with therapeutic area priorities and business objectives. 

• Draft and review technical reports, manuscripts, and presentations for internal and external audiences. 

• Generate external communications in the form of abstracts, posters, podium presentations, and manuscripts.

• Mentor and guide junior staff to support their career advancement and ensure they meet client requirements.

• Support strategic planning and stakeholder engagement across global teams. 

• Manage project timelines, budgets, and quality standards in coordination with cross-functional teams. 

• Stay current with industry trends, regulatory guidance, and methodological advancements in RWE and HEOR. 

Required Skills & Experience 

• 3–7 years of experience in RWE and HEOR within a healthcare consulting firm or life sciences company. 

• Proven ability to design and execute database studies using claims, EMR, or registry data. 

• Strong understanding of healthcare data sources and analytical methodologies. 

• Proficiency in statistical programming languages (e.g., R, Python, SQL) and tools (Excel, PowerPoint). 

• Familiarity with causal inference analysis, AI/ML applications in healthcare analytics (preferred). 

• Excellent communication skills and ability to translate complex findings into actionable insights. 

• Demonstrated project management and stakeholder/KOL engagement capabilities. 

Educational Background 

• Master’s degree in epidemiology, health economics, biostatistics, or outcomes research.  

• Doctoral degree (PhD, PharmD, ScD) in relevant field is a plus. 

Ideal Candidate Profile 

• Strategic thinker with a proactive mindset and ability to work independently. 

• Strong collaborator who thrives in a matrixed environment and can influence across teams. 

• Passionate about leveraging data to improve patient outcomes and inform healthcare decisions. 

• Eager to grow into a leadership role and contribute to Axtria’s mission and culture.
  
  

Pay Transparency Laws
Salary range or hourly pay range for the position
The salary range for this position is $119,500 to $163,875 annually. The actual salary will vary based on the applicant’s education, experience, skills, and abilities, as well as internal equity and alignment with market data. The salary may also be adjusted based on the applicant’s geographic location.
The salary range reflected is based on the primary work location of Berkeley Heights, New Jersey. The actual salary may vary for applicants in a different geographic location.