Top Biotech Software Engineer Jobs

Design, develop, test, deploy, and maintain scalable backend software and microservices. Collaborate with engineering, product, analytics, laboratory, and clinical teams; create technical documentation; monitor reliability and performance; support production deployments; troubleshoot complex issues; conduct root-cause analysis; participate in design and code reviews; and guide technical decisions and engineering process improvements.

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.

Designs, develops, tests, and supports full-stack software for genomic workflows, including LIMS platforms, data-archiving pipelines, and internal APIs. Builds user interfaces with React, JavaScript, and TypeScript, and contributes to backend services using Node.js, Python, or Java. Collaborates with engineers and wet-lab scientists, participates in code reviews, troubleshoots data-intensive systems, and uses AI-assisted development tools to improve productivity, quality, and test coverage.

Develop chromatography data-processing algorithms for cloud-based Empower data systems and collaboration software. Responsibilities include implementing peak integration, calibration, and quantitation algorithms; migrating legacy C++ to .NET Core/C#; applying numerical methods and AI/ML; optimizing performance through parallelism; writing unit tests; refining requirements with stakeholders; and preparing technical reports, patents, and project updates.

Leads Oura’s Women’s Health software engineering organization, overseeing managers and technical leaders while partnering across Product, Design, Science, Clinical, Regulatory, and Data Science. Drives high-impact consumer software delivery, organizational transformation, engineering strategy, talent development, and AI-native development workflows. The role requires strong technical and product judgment across architecture, data, quality, reliability, privacy, and speed, with responsibility for building a high-performing organization and trusted health experiences.

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.

Owns cross-subsystem software architecture for GE HealthCare’s Mac-Lab/CardioLab products while remaining hands-on in C++ and C# development. Leads technical design, implementation planning, performance optimization, system engineering, and developer guidance. Collaborates with clinical, cross-functional, and global teams to deliver quality medical software, apply AI-enabled development practices, and meet regulatory and product requirements.

Develop software tools for molecule and protein visualization, machine learning model analysis, and chemical workflow management. Collaborate with machine learning engineers and medicinal chemists to productionize computational methods for molecular property prediction. Help scale infrastructure supporting massive datasets and parallel deep learning and molecular dynamics workloads while maintaining high code quality.

Develop and support software, digital tools, dashboards, automation workflows, and database-backed applications for regulated manufacturing and quality operations. Interns may gather requirements, test and roll out applications, build Microsoft Power Platform tools, prototype AI-enabled solutions, and create reporting tools integrating multiple systems. Change management and documentation are also required. The internship is full-time and onsite in the Rensselaer, East Greenbush, or Troy, New York area.

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.