Top Cybersecurity & IT Jobs

The Technology Principal at ZS will be responsible for developing and managing client relationships, providing strategic guidance on Azure data management, and optimizing data architectures on the Azure platform.

R&D AI Consultant at ZS, focusing on transforming drug discovery, development, and evidence generation process through innovative AI-powered solutions. Responsibilities include developing AI & data science solutions, collaborating with clients and internal teams, and contributing to thought leadership in AI-based solutions.

Strategy Insights & Planning Consultants at ZS work on high-quality solutions for clients, specializing in unstructured problem-solving, analytic skills, and communication. They lead project tasks, conduct analysis, synthesize findings, provide recommendations, and contribute to business development. The role involves coaching and mentoring junior team members as well.

Strategy Insights & Planning Consultants at ZS deliver high-quality solutions for clients, specializing in unstructured problem-solving, analytics, and communication. They work on defining project scopes, leading task execution, conducting analyses, and providing recommendations to clients and internal teams.

Business Technology Solutions Consultant in the manufacturing sector at ZS, focusing on delivering high-quality solutions for clients. Responsibilities include leading projects using OT and IT technologies, providing technology expertise, ensuring project delivery on time and within budget, leading project task execution, and contributing to thought leadership and innovation. Requires experience in manufacturing within the pharmaceuticals industry and expertise in the digitization of manufacturing.

As a Strategy Insights & Planning Consultant at ZS, you will work on defining project scope, leading task execution, conducting analysis, synthesizing findings, providing recommendations, and contributing to business development. Requires an MBA or relevant work experience of 5-8 years.

Develop advanced algorithms, apply problem-solving techniques, leverage knowledge of Life Sciences R&D, collaborate with stakeholders, provide mentorship, and contribute to thought leadership in technology solutions for clinical development.