Top Biotech Software Engineer Jobs in Boston, MA

Build and own end-to-end frontend features for Ketryx's AI platform. Collaborate with designers, product, and customer teams to design accessible React/Next.js interfaces using Tailwind and shadcn, create and document a component library, refactor UIs, mentor teammates, and provide technical customer support. Contribute to backend and database work as needed.

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.

The role involves integrating software libraries and cluster computing frameworks, developing benchmarking solutions, and collaborating with software engineers to optimize applications.

Design, build, and operate People-system integrations with Workday at the center. Own end-to-end integration lifecycle, collaborate on AI-enabled automation, support production reliability, and partner cross-functionally to improve HR workflows and data quality.

Design, implement, test, and deploy full‑stack software for commercial lab/medical products. Serve as secondary technical lead, shape architecture, build front‑end and back‑end services, APIs, CI/CD pipelines, automated tests, and support cloud and on‑prem deployments while collaborating with product, science, and cross‑functional teams.

Develop and maintain scalable cloud- and edge-based software, including user-facing applications, APIs, distributed services, and supporting systems. Own software components, apply test-driven development, conduct code reviews, improve performance and security, and contribute to complex technical projects. Collaborate with cross-functional teams to design, deploy, and scale early-stage healthcare products across cloud and on-premises environments.

Provides hands-on technical direction and architecture ownership for connected products and cloud platforms. Defines target architecture, APIs, data models, integration patterns, and technical roadmaps; guides device-to-cloud systems, platform modernization, security, reliability, observability, CI/CD, and incident response. Partners across engineering, product, science, quality, IT, DevOps, and external vendors. Remains involved in backend implementation, technical investigations, code reviews, mentoring, and resolving high-risk production issues.

Develop, design, integrate, test, and maintain software for radiation therapy medical devices. Build treatment-planning systems, implement automated tests, troubleshoot issues, contribute to architecture and requirements, and support high-performance computational solutions. Collaborate across software, systems, testing, product, and clinical teams while following rigorous quality and regulatory processes. Some travel under 10% may be required.

Designs, develops, tests, documents, and maintains scalable software and bioinformatics pipelines. Builds data models, ETL processes, APIs, microservices, databases, dashboards, and workflow integrations supporting genomic analysis such as assembly, mapping, variant calling, and annotation. Collaborates with analysts, scientists, clinical reviewers, laboratory staff, and developers to translate requirements into production-ready solutions. Optimizes queries and performance, applies CI/CD and testing practices, and ensures maintainable, well-documented software.

Design and maintain AI agents, automated workflows, connectors, and middleware for software integration, release readiness, testing, and deployment. Build a structured software knowledge base and integrate systems including Jira, Confluence, GitHub, Microsoft 365, and Monday.com. The role requires automating ambiguous software management processes, ensuring observability and error handling, and collaborating across teams. This is a full-time remote position, with a preferred location in the San Francisco Bay Area.