Top Internships

Lead and contribute to end-to-end UX for a ZAIDYN product area: set strategy, drive usability and adoption metrics, solve complex data-dense workflows, hire and develop UX designers, enable delivery and cross-functional alignment, uphold design-system governance and accessibility, and contribute to platform-wide UX initiatives including AI patterns.

Supports delivery of technology consulting projects by translating business needs into technical designs, leading workstreams, coordinating teams, managing project artifacts, and contributing to Salesforce implementations. The role involves hands-on implementation, stakeholder communication, Agile and SDLC adherence, risk tracking, mentorship, and development of solution deliverables. Healthcare and patient services experience, data expertise, Python, SQL, cloud, and analytics skills are required. Client-facing travel may be necessary.

Lead and support Salesforce CRM transformation projects for pharma, healthcare, and life sciences clients. Responsibilities include requirements gathering, solution design, Salesforce implementation and customization, solution architecture, stakeholder communication, technical-team collaboration, and management of project timelines, budgets, and deliverables. Provide expertise across Salesforce Health Cloud, Marketing Cloud, Sales Cloud, and Service Cloud while translating technical solutions for nontechnical stakeholders.

Lead health-plan focused decision analytics engagements, manage client relationships, drive business development, deliver digital/technology solutions, coach and lead virtual consulting teams, and ensure project delivery while advising on commercial and operational strategy.

The Manager of Supply Chain & Manufacturing will lead projects in CMC, provide strategic guidance, and manage client engagements while mentoring teams.

The Data Architect Lead is responsible for designing scalable architecture solutions, engaging with clients, and innovating technology assets while mentoring juniors and driving business growth.

Lead teams to build scalable AI applications, develop client relationships, manage budgets, and mentor talent in the AI field.

Develop and implement advanced algorithms, apply statistical techniques, collaborate with clients, assess technologies, and mentor team members.

The Decision Analytics Consultant delivers projects in pharmaceutical CMC development, employing quantitative skills to analyze data and provide client solutions while managing teams and enhancing practice development.

Responsibilities include executing data-driven strategies in life sciences, leading evidence generation projects, managing client relationships, and developing high-performing teams.