Top Biotech Software Engineer Jobs

Leads Salesforce architecture and strategy for Vertex’s patient services platform, including platform design, DevOps, CI/CD, call center implementation, releases, integrations, and operational support. Partners with cross-functional, QA, vendor, and offshore teams while managing risks, compliance, roadmaps, budgets, and resources. The role also provides GxP and product expertise, drives continuous improvement, and coaches internal and managed service teams.

Build and own TuneLab’s AI/ML-powered SaaS product for biotech customers. The Staff Software Engineer will develop full-stack application workflows, integrate Lilly’s drug-discovery models, make architecture decisions, establish engineering practices, and ship reliable customer-facing software. The role also includes mentoring engineers, supporting hiring, influencing product strategy, navigating enterprise infrastructure and compliance, and working with external biotech partners.

The Principal Software Development Engineer will design, develop and automate testing frameworks for embedded instrument software, ensuring quality and compliance across development stages, while collaborating with global teams.

The Software Engineer Intern will develop and validate brain-computer interface software, collaborate with users, and implement new features.

Develops and maintains production software features, owns end-to-end implementation and production incident resolution, contributes to system design, enforces coding and testing standards, maintains CI/CD pipelines, conducts code reviews, and collaborates with product and stakeholders.

Leads and develops a software engineering team while remaining hands-on with architecture, technical strategy, code reviews, debugging, and delivery. Drives Agile practices, engineering quality, testing, DevOps, technical debt reduction, and platform health. Partners with Product, Design, Business, and senior stakeholders, communicates risks and tradeoffs, recruits talent, and supports continuous improvement. The role focuses on mobile, cloud, connected, and offline-first applications.

Leads and grows a software engineering team developing frontend, backend, cloud, instrument, CLI, and API systems for multi-omic products. Sets technical direction, oversees hiring and delivery, drives architecture and design reviews, and contributes hands-on across the stack. Champions AI-assisted and agentic development practices while supporting regulated software workflows, including design controls, verification, validation, traceability, audits, and regulatory submissions.

Designs and develops scalable customer-facing web applications and microservices APIs. Leads complex system architecture, performs code reviews, mentors engineers, defines technical implementations, and guides engineering vision. Maintains sustainable business systems, supports compliance initiatives, and improves development processes. The role requires Java and Spring experience, cloud technologies, relational databases, REST and event-driven architectures, containerization, front-end development, and software lifecycle expertise.

Develop, maintain, and deploy sustainable scientific software for large-scale neurophysiology data processing and analysis. Collaborate with computational scientists, implement testing and software development best practices, manage cloud and on-premise services, build end-to-end pipeline testing infrastructure, and contribute to open-source neuroscience analysis and visualization tools. Mentor colleagues and support reproducible data workflows in an Agile environment.

Lead enterprise automation architecture and delivery across RPA, workflow automation, process mining, intelligent automation, testing, bots, citizen development, and AI orchestration. Establish and operate an Automation Center of Excellence, identify high-value use cases, guide implementation, manage governance and regulatory alignment, support training and adoption, and track financial value. Work hands-on with business stakeholders, technology teams, vendors, and external consultants in a regulated life sciences environment.