The Director of Data Science will lead AI/ML and GenAI initiatives, oversee project delivery, and mentor a data science team, focusing on life sciences.

Lead AI/ML and GenAI initiatives across life sciences clients, focusing on scaling offerings, driving growth, and delivering innovative solutions.

Manage consulting projects in Decision Science, delivering analytics solutions in pharma including predictive modeling, patient segmentation, and marketing effectiveness.

Lead cloud data management initiatives, ensuring delivery excellence and client engagement in the life sciences sector. Drive innovation and mentor a global team.

The Principal Data Science role leads AI/ML strategy and delivery for pharma clients, involving advanced modeling and client engagement to drive business growth.

The PMO will manage Japan Pharma commercial projects, ensuring governance, compliance, and timely execution of data initiatives, while coordinating between Japan and India teams.

Lead functional discussions and translate Japan-specific business needs into analytics workflows for commercial operations in the pharmaceutical sector. Ensure compliance with regulatory frameworks, manage data governance, and support Agile practices while liaising between technical teams and stakeholders.

The Solution Architect will design scalable data architectures for Japan’s pharmaceutical datasets, ensuring compliance and driving data governance initiatives, using tools like Informatica and Databricks.

The Director will establish Axtria's operations in Japan, manage compliance, and serve as the primary representative to clients and authorities, while driving organizational strategy and growth.

The role involves designing and executing Real-World Evidence (RWE) studies, conducting Health Economics and Outcomes Research (HEOR), and managing cross-functional initiatives to inform healthcare strategies.

The BIM Associate will design data ecosystems, build dashboards, implement AI solutions, and work with cross-functional teams to enhance data management in the Life Science industry.

The role involves leveraging AI and data analytics to optimize sales strategies for Life Science clients, focusing on customer engagement and commercial effectiveness.

The role involves conducting data analyses, building AI/ML models, and applying advanced analytics to solve business problems in the Life Science industry.