Top Biotech Software Engineer Jobs

Lead design and build of core infrastructure for enterprise ML: model evaluation/deployment, inference/serving, data storage/retrieval, and production deployment of large-scale reasoning agents. Work with enterprise customers, integrate on-prem systems, and mentor scientists to adopt strong engineering practices and reliability-focused ownership.

Build and maintain high-performance TypeScript backend services and event-driven infrastructure. Design scalable APIs, integrate PostgreSQL/MySQL, AWS SQS, and Centrifugo, ensure reliability, security, and observability, optimize production systems, modernize legacy code, and own end-to-end feature delivery with strong testing, debugging, and performance tuning.

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.

Design, develop, and maintain front-end and back-end web applications, create servers, databases, and APIs, ensure responsiveness and cross-platform optimization, collaborate with designers, and manage projects from conception to delivery.

As a Software Engineering Intern, you will build foundational code and data processing systems, tackling challenges at the intersection of AI, code understanding, and data analytics.

Design, build, and maintain front-end and back-end systems, APIs, and services; collaborate with product and design teams; ensure performance, scalability, security, and code quality; mentor junior engineers and participate in architecture decisions.

Assist with marketing campaigns including website, landing page, email, and report design. Take ownership of projects, iterate quickly in a startup environment, apply front-end skills (HTML/CSS/C#/WordPress/PHP), and collaborate across the small team. Opportunity may convert to full-time.

The Software Engineer Manager will design architecture, lead development teams, and manage client software solutions, ensuring successful project delivery.

Build and maintain Dyno's scientific data platform and cloud infrastructure for reliability, scalability, and security. Translate scientific questions into production APIs, pipelines, and user-facing tools. Drive engineering quality via code and architecture reviews, move prototypes to production, and collaborate cross-functionally to support scientists and external partners.

Develop, test, and optimize scientific computing applications and numerical methods for CPUs and GPUs. Measure and improve computational performance, collaborate across research and engineering, and contribute to software testing, deployment, and evolving technical needs.