Role & Responsibilities
• Conduct comprehensive health data analysis across patient charts, claims databases, and electronic hospital records to support real-world evidence (RWE) initiatives
• Develop and apply advanced statistical and machine learning techniques to generate actionable insights
• Contribute to retrospective database analyses to support medical affairs, market access, and clinical development
• Draft and review technical reports, abstracts, manuscripts, protocols, SAP, and presentations based on RWE findings
• Collaborate cross-functionally to define research questions, study designs, and analytical approaches
• Present complex analytical findings to internal and external stakeholders in a clear and impactful manner
• Contribute to thought leadership through publications, conference presentations, and internal knowledge sharing
• Ensure rigorous project management across timelines, budgets, and quality standards
• Deliver on projects involving new technologies like Causal Inference, Digital Twins, and Generative AI
Skills
• Proficiency in inferential statistics, predictive modeling, and machine learning techniques (preferred)
• Expertise in SQL, Python, R, and data visualization tools; familiarity with Excel, PowerPoint, and Word
• Strong problem-solving skills with the ability to adapt analytical strategies to evolving business needs
• Excellent written and verbal communication skills
• Ability to lead projects independently and engage key stakeholders effectively
• Strong understanding of therapeutic areas and disease treatment pathways
Qualifications
• 3-8 years of global experience in RWE analytics, healthcare data science, or related fields within life sciences or consulting
About The Company
• Axtria is a global leader in life sciences analytics, leveraging advanced technologies like AI/ML to address healthcare challenges.
Axtria offers a collaborative work environment, fostering innovation and knowledge sharing without hierarchical boundaries.
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