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The Associate Principal in Health Economics & Outcomes Research at ZS will lead the global HE strategy and capability development for both ZS and clients. They will work closely with client teams, drive business development, promote ZS capabilities in HE, ensure high-quality work delivery, manage teams effectively, and provide mentoring and coaching to team members.

The Associate Principal - Health Economics & Outcomes Research role at ZS involves developing the HEOR discipline in conjunction with the Value & Access team, leading the global HE strategy, working closely with clients, promoting ZS capabilities in HE, delivering quality client services, and mentoring team members.

The Data Science Manager at ZS Discovery will shape and grow ZS's AI capabilities in pharmaceutical discovery, work closely with clients, lead a team of data scientists, develop AI offerings, and present results at industry conferences and journals.

Data Science Manager at ZS Discovery responsible for shaping and growing AI capabilities in pharmaceutical discovery. Leading client relationships, selling AI solutions, and managing a global AI delivery team. Requires a PhD in AI or pharmaceutical research with 6+ years of relevant experience.

As a Data Science Manager at ZS Discovery, you will shape and grow AI capabilities in pharmaceutical discovery, work closely with clients, lead a team of data scientists, and develop AI offerings for research. Responsibilities include building and leading a team, delivering high impact projects, and translating results into thought leadership presentations. Qualifications require a PhD in AI or pharmaceutical research with relevant experience, domain expertise in AI for biomedical/pharmaceutical research, and programming experience in Python.

Shape and grow ZS's AI capabilities in pharmaceutical discovery, work closely with clients to sell and deliver high impact projects, build and lead a team of data scientists, develop and lead AI offerings for clients in research, translate results into thought leadership presentations at industry conferences and articles for leading journals.

Manage AI capabilities in pharmaceutical discovery, work with clients, lead data scientists, develop AI offerings, and present thought leadership in industry conferences and journals.