Top Biotech Software Engineer Jobs in Boston, MA

Build internal software products, automations, workflows, and data-flow improvements that enhance business operations. Translate organizational needs into working tools, drive adoption, advise leadership on engineering practices, and support cross-functional change. Approximately 80% of the role involves hands-on software development, with the remainder focused on internal consulting and strategic guidance.

Build and operate backend-focused production software, APIs, integrations, databases, distributed systems, and asynchronous workflows. Develop AI-enabled and agentic systems with retrieval, tool use, evaluation, permissions, observability, and reliability controls. Own products from definition through iteration, collaborate with data engineering, data science, and SRE, make pragmatic technical tradeoffs, and mentor engineers.

Build developer-experience tooling and frameworks that streamline development, testing, packaging, and production releases. Lead release tooling designed to move code changes to production within 10 minutes, implement quality feedback loops, and improve engineering workflows using qualitative and quantitative feedback. Collaborate with product managers, designers, and engineers to enhance developer productivity, engineering practices, and operational patterns while helping scale the team and platform.

Develop and maintain scalable Python software, integrations, and web applications. Collaborate with QA, IT operations, analysts, and stakeholders in an Agile/Scrum environment. Design technical solutions, translate workflows into requirements, participate in code reviews and Scrum ceremonies, optimize relational and non-relational database queries, troubleshoot production issues, and improve application performance and security.

Leads Moderna’s enterprise automation and AI strategy, portfolio, platform governance, solution development, and citizen developer program. Oversees Microsoft Power Platform, UiPath, Azure, AI agents, integrations, security, compliance, CI/CD, and GxP validation where applicable. Drives business value through productivity improvements, risk reduction, and adoption while leading and developing the Digital Core Automation Team.

Design and operate a biological research data platform connecting computational and experimental workflows. Build data models, APIs, pipelines, integrations, and cloud infrastructure that preserve sample lineage, metadata, provenance, and quality controls. Automate handling of laboratory records and heterogeneous files, enable querying and visualization, and collaborate closely with experimental scientists. The role also involves testing, validating transformations, managing AWS services, and potentially extending into laboratory automation and LLM applications.

Build and maintain full-stack software for a SaaS platform supporting clinical trial workflows. Responsibilities include developing Python-based applications, creating features, refactoring systems, contributing to architecture, collaborating with product, design, machine learning, infrastructure, clinical, QA, and regulatory teams, and upholding engineering quality, reliability, data integrity, compliance, testing, and inspection readiness. The role also involves mentoring teammates and working across frontend, backend, cloud, and infrastructure technologies.

Develops resilient, fault-tolerant embedded software for resource-constrained real-time systems across defense and space applications. Responsibilities include requirements analysis, algorithm design, software development, system and software testing, troubleshooting, performance analysis, technical documentation, stakeholder communication, and contributions to system design throughout the software development lifecycle.

Leads the strategy, architecture, implementation, and lifecycle management of digital solutions across R&D, manufacturing, quality, supply chain, and product lifecycle management. Oversees ERP, MES, QMS, PLM, IoT, AI, automation, and connected medical-device capabilities while ensuring compliance, cybersecurity, data integrity, and validation. Builds high-performing teams, manages technology partners, and drives Manufacturing 4.0 transformation through connected equipment, robotics, analytics, digital twins, and remote device monitoring.

The Application Developer IV will architect and build features for Addgene’s digital products, lead complex initiatives, improve system reliability and performance, and maintain data integrity. Responsibilities include designing Django applications, database optimization, production migrations, test strategy, search and machine-learning feature integration, and evaluating AI tools. The role also involves mentoring engineers, reviewing code, communicating tradeoffs, and driving initiatives from discovery through delivery.