Top Pharmaceutical Software Engineer Jobs

Design, develop, and validate SAS programs for clinical data analysis, supervise projects, generate analysis datasets, and ensure programming standards compliance.

The role involves leading the development of a full-stack platform for biopharma, focusing on architecture, UX, backend services, and API integrations, while ensuring reliability and collaboration with cross-functional teams.

Lead statistical programming efforts for clinical studies, ensuring compliance and quality deliverables, while collaborating with teams and managing vendor relationships.

Seeking a Software Engineer with strong Python skills to build scalable services and complex business operations logic, implement HIPAA-compliant data handling, and collaborate in a hybrid environment.

Lead a team of engineers to build software for hospitals and patients, make architectural decisions, coach engineers, and manage complex technical projects.

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.

The ALM Systems Analyst will support clients in using Polarion, manage configurations, provide training, and collaborate with engineering teams on best practices for software lifecycle management.

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 Vice President of Software Engineering oversees all technology operations, leads the engineering team, creates technology strategies, and ensures alignment with organizational goals. Responsibilities include evaluating technology opportunities, enhancing customer experience, and managing IT initiatives within budget and timelines.

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.