Top Biotech Software Engineer Jobs in Boston, MA

Architects, develops, tests, and deploys scalable, reliable distributed services in cloud, SaaS, and customer environments. The role involves full-stack software development, security-focused systems, architecture, design, testing, code reviews, customer meetings, and prototyping. The engineer adapts solutions to customer requirements, evaluates development tools and methodologies, and applies expertise in distributed systems, databases, cloud platforms, enterprise security, service reliability, and redundancy.

Own and evolve a production platform spanning backend services, AWS infrastructure, iOS, and web applications. Scale multi-tenant systems, improve reliability of LLM-powered features, implement security and privacy controls, integrate customer tools, and guide decisions on refactoring or replacing existing systems. The role requires strong backend or infrastructure ownership, production LLM experience, AWS expertise, clear documentation, and collaboration with technical and scientific stakeholders.

Build and operate scalable bioinformatics pipelines, data platforms, APIs, SQL databases, and cloud infrastructure for biotechnology research. The role owns workflow orchestration, containerized execution, infrastructure as code, CI/CD, incident prevention, data delivery, and engineering standards. It partners with computational biology, machine learning, and laboratory teams while developing agentic workflows and reliable systems supporting scientific discovery, preclinical development, and clinical analyses.

Develops and maintains enterprise software across the full software development lifecycle, including architecture, implementation, testing, deployment, and support. The role involves full-stack development with Java, Spring, Angular, databases, REST APIs, DevOps tools, and web applications. Responsibilities include troubleshooting, technical documentation, statistical analysis, stakeholder collaboration, customer support, and contributing to future software roadmaps. The position requires an active DoD Secret clearance and U.S. citizenship.

Design and operate production software supporting scientific data and wet-lab workflows. Own compound registration, experimental data ingestion, validation, transformation, publishing, APIs, data pipelines, and integrations with scientific platforms. Partner with scientists to translate ambiguous research operations into scalable technical solutions. Establish architecture, testing, monitoring, CI/CD, deployment, documentation, and operational practices for reliable cloud-native systems.

Designs, develops, tests, deploys, and maintains scalable full stack web applications using Vue.js, Nuxt.js, Node.js, APIs, databases, and headless CMS and commerce platforms. The role contributes to architecture, integrations, automated testing, CI/CD, security, accessibility, SEO, and web performance optimization. It collaborates with Product, UX/UI, DevOps, Web Marketing, and business stakeholders in an onsite environment.

Develop software applications for signal acquisition and processing in movement science and human health. Responsibilities include designing user interface strategies, creating real-time physiological data visualizations and dashboards, and contributing to Windows and cross-platform applications. The role requires frontend development, object-oriented design, MVVM architecture, and familiarity with frameworks such as WPF, React, or Angular.

Build and productionize data and AI applications on Palantir Foundry for biomedical domain teams. Responsibilities include designing data pipelines, transformations, ontology models, workflow applications, integrations, access controls, data quality checks, and production monitoring. The role leads discovery and iterative delivery, partners with product, data, governance, and platform teams, supports user adoption, and creates reusable delivery patterns. Candidates need strong programming, data and application engineering, stakeholder management, and biomedical domain experience.

Leads architecture, technology strategy, and execution for FMI’s CRM and Ordering Management transformation. The role directs migration from Microsoft Dynamics 365 to Salesforce, defines transition and future-state architectures, oversees integrations, data migration, governance, security, and platform roadmaps, and establishes modern engineering practices. It also mentors engineering teams, drives DevSecOps, CI/CD, automated testing, AI-assisted development, and reliable delivery across enterprise platforms including LIMS, billing, and medical reporting systems.

Build and maintain automation, CI/CD pipelines, integration and end-to-end testing frameworks, and deployment processes. Improve system reliability, observability, and operational workflows by eliminating manual processes and implementing scalable solutions. Collaborate across engineering teams to streamline operations and use AI tools to enhance developer productivity.