Top Pharmaceutical Software Engineer Jobs

As a Senior Software Engineer, you will lead the development of software for automated manufacturing systems, focusing on scheduling, resource allocation, and ensuring continuity during hardware interruptions.

The UI Software Engineer designs, prototypes, and builds user-centered interfaces for laboratory applications, enhancing workflows and productivity while leveraging AI tools for rapid prototyping.

The Metrology OGP Programmer will develop OGP programs, interpret prints, troubleshoot issues, and train team members while maintaining communication and collaboration with the team.

The Software Engineer will implement and support SAP Financials and Controlling, enhance business functionality, configure systems, develop finance solutions, and collaborate with IT and business teams.

The Technical Lead will guide technical direction, lead architecture, mentor engineers, and oversee the integration of AI technologies while ensuring high-quality software delivery.

As a Software Engineer for the AI platform, you will build and scale infrastructure, design secure systems, develop tooling, and ensure performance and security for AI workflows in life sciences.

Lead statistical programming and data engineering for clinical development, ensuring compliant datasets and regulatory submissions while mentoring a high-performing team. Oversee analysis pipelines and collaborate with cross-functional teams for quality data delivery.

Lead the architectural strategy and technical oversight for global digital engagement platforms, ensuring integration, scalability, and security. Collaborate with teams to optimize architecture, establish standards, and evaluate emerging technologies.

Lead statistical programming efforts, mentor a team, manage vendor selection, ensure compliance with industry standards, and oversee project resources.

As a Principal Engineer for AI Systems, you will lead AI implementation and integration across the organization, ensuring compliance, enhancing workflows, and managing AI technology platforms while collaborating with various teams to drive efficiency and support AI adoption.