Senior Data Scientist, Healthcare (Delhi Division)

As a highly experienced and strategic Real-World Evidence (RWE) Analytics professional, you will be joining a dynamic team at a mid-senior level. Your expertise in real-world data (RWD) analytics, retrospective database studies, and advanced statistical methodologies will be crucial in delivering impactful insights to support clinical, medical, and commercial decision-making in global healthcare settings. You are expected to bring over a decade of international experience in RWE, demonstrate strong problem-solving capabilities, and lead complex analytics projects with autonomy and precision.

Your role will also involve managing a talented team, driving strategic HEOR and RWE initiatives, fostering innovation in data science and analytics, and ensuring high-quality delivery across multiple projects and stakeholders.

• *Responsibilities and Accountabilities:**
• Design and execute RWE studies using structured and unstructured healthcare data sources (e.g., claims, EMR, registries, digital health)
• Develop and apply advanced statistical and machine learning techniques to generate actionable insights
• Lead retrospective database analyses to support evidence generation for medical affairs, market access, and clinical development
• Draft and review technical reports, abstracts, manuscripts, 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
• *Required Skills and Capabilities:**
• 1015 years of global experience in RWE analytics, healthcare data science, or related fields within life sciences or consulting
• Strong problem-solving skills with the ability to adapt analytical strategies to evolving business needs
• Deep understanding of therapeutic areas and disease treatment pathways
• Proven ability to lead projects independently and engage key stakeholders effectively
• Experience in managing teams and allocating resources efficiently
• Excellent written and verbal communication skills
• Proficiency in inferential statistics, predictive modeling, and machine learning (preferred)
• Technical expertise in SQL, Python, R, and data visualization tools; familiarity with Excel, PowerPoint, and Word
• *Educational Background:**
• Bachelors degree in clinical or biological sciences, engineering, Stats or Operations Research
• Masters degree in outcomes research, health economics or related fields (Preferred)
• Doctoral degree in relevant field (Preferred)

Axtria is a global provider of cloud software and data analytics to the Life Sciences industry. With a focus on transforming the product commercialization journey to drive sales growth and improve healthcare outcomes for patients, our innovative technology platforms deploy Artificial Intelligence and Machine Learning. Our cloud-based platforms enable customers to efficiently manage data, leverage data science for insights, and manage end-to-end commercial operations. Join our rapidly growing global team and be part of a culture that values transparency, collaboration, and continuous learning. Share your resume to be considered for this exciting opportunity. As a highly experienced and strategic Real-World Evidence (RWE) Analytics professional, you will be joining a dynamic team at a mid-senior level. Your expertise in real-world data (RWD) analytics, retrospective database studies, and advanced statistical methodologies will be crucial in delivering impactful insights to support clinical, medical, and commercial decision-making in global healthcare settings. You are expected to bring over a decade of international experience in RWE, demonstrate strong problem-solving capabilities, and lead complex analytics projects with autonomy and precision.

Your role will also involve managing a talented team, driving strategic HEOR and RWE initiatives, fostering innovation in data science and analytics, and ensuring high-quality delivery across multiple projects and stakeholders.

• *Responsibilities and Accountabilities:**
• Design and execute RWE studies using structured and unstructured healthcare data sources (e.g., claims, EMR, registries, digital health)
• Develop and apply advanced statistical and machine learning techniques to generate actionable insights
• Lead retrospective database analyses to support evidence generation for medical affairs, market access, and clinical development
• Draft and review technical reports, abstracts, manuscripts, 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 a