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Design and develop tools for scientific analysis software, manage distributed systems, and ensure high product quality in agile environment.

Design and develop scalable observability solutions, handle distributed systems, and partner with product management to deliver high-quality software as part of an agile team.

Design and develop AI/ML products, advise on technical feasibility, and collaborate with cross-functional teams to enhance pharmaceutical data accessibility.

Design and develop data management tools for scientific instruments, focusing on efficiency, resiliency, and agile development methodologies. Collaborate with teams and deliver high-quality products.

Develop and maintain high-performing data connectors for scientific instruments, ensuring data extraction scalability and reliability while adhering to agile methodologies.

The Head of Engagement will lead US delivery teams, drive customer satisfaction and renewals, manage complex data solutions, and collaborate across functions. Responsibilities include developing delivery strategies and expanding customer relationships in the Life Sciences sector.

The DevOps Engineer will drive product lifecycle enhancements, manage AWS environments, automate processes, and collaborate with engineering and clients.

The Senior Software Engineer will address customer technical issues, enhance product reliability, develop troubleshooting tools, and drive resolutions efficiently.

The Technical Account Manager will act as a technical leader for customers, bridging business objectives with solutions in scientific data and AI, ensuring project success, and managing stakeholder relationships.

The Engagement Director drives renewal activities, ensures successful implementation delivery, and collaborates with sales to expand opportunities in the Life Sciences industry.