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The Technology Principal leads business development and client engagements in the life sciences sector, focusing on developing technology and analytics solutions. They will build relationships with key stakeholders in pharmaceutical and medical device clients to generate business opportunities and maintain long-term client relationships, while managing teams and ensuring quality service delivery.

The Head of Microsoft Alliance at ZS will lead the strategic partnership with Microsoft, focusing on business development and collaborative sales initiatives. The role involves managing revenue targets, fostering relationships with Microsoft leaders, coordinating with internal teams, and executing go-to-market strategies to ensure customer success and drive innovative solutions on Microsoft platforms.

In this role, you'll apply expertise in problem-solving and technology to develop AI and data science solutions for life sciences R&D. You'll collaborate with clients and internal team members to integrate impactful solutions, mentor junior staff, and contribute to thought leadership in AI-based solutions.

As a Decision Analytics Consultant at ZS, you will be responsible for project management, client management, training and development, business development, and thought leadership in the field of Health Economics and Outcomes Research (HEOR). The role requires a Master's or PhD in Life Sciences/MPH or MBBS/MD with at least 5 years of experience in HEOR.

The Head of Content & Creative at ZS will develop and execute the creative strategy for the company's brand, overseeing a large team to ensure alignment with business goals and enhance brand visibility. This role also involves leveraging AI for efficiency and collaborating with internal clients to generate innovative and impactful content.

As an Applied AI Scientist at ZS, you will develop advanced algorithms for data analysis, execute statistical techniques, evaluate emerging datasets, and contribute to thought leadership by researching and publishing on relevant topics.

As a Machine Learning Engineer at ZS, you'll build and monitor model pipelines, scale algorithms for large datasets, implement ML Ops, write production-ready code, and collaborate with teams to deliver AI-enabled solutions in healthcare. You'll also research new technologies and contribute to the enhancement of ML engineering platforms.