Top Biotech Software Engineer Jobs

Designs and governs scalable ServiceNow solutions spanning workflows, integrations, data, security, user experience, AI automation, and enterprise architecture. Provides hands-on technical leadership, reviews designs and configurations, mentors engineers, leads architecture workshops, resolves complex platform challenges, and ensures governance, maintainability, upgrade readiness, and integration quality. Evaluates ServiceNow capabilities, modernization opportunities, and buy-versus-build decisions while partnering with business, product, security, UX, data, and engineering stakeholders.

Lead a new engineering team developing a scalable, multi-channel content management system. Set platform architecture and technical direction, guide front-end and back-end implementation, establish engineering and operational practices, and coach engineers. Partner with product, design, marketing, and business stakeholders on workflows, governance, roadmap, and delivery. Contribute to technical problem-solving and design decisions while balancing near-term publishing needs with long-term platform investments.

As a founding full-stack engineer, design, build, and deploy core backend services, oracle/watchtower infrastructure, and borrower-facing applications. Integrate Bitcoin transactions, PSBTs, and Discreet Log Contracts, manage SQL/NoSQL databases, contribute to architecture decisions, and wear multiple hats in a fast-paced, early-stage environment.

Develop and operate high-reliability mission ground software supporting telemetry, commanding, data acquisition, mission control interfaces, simulation, and automated testing. Build scalable services, operator dashboards, CI/CD pipelines, infrastructure-as-code, observability, and deployment systems across laboratory, test, and mission environments. Collaborate hands-on with flight software, avionics, RF and ground systems, and mission operations teams.

Leads and mentors a research software engineering team developing and integrating the Pelican Platform. Oversees technical roadmaps, project delivery, software quality, distributed systems architecture, CI/CD, code review, and development workflows. Translates research goals into software requirements, coordinates with integration and operations teams, communicates with external cyberinfrastructure partners, and supports modern engineering practices across research computing projects.

Design, build, and maintain full‑stack features for a clinical SaaS platform. Drive architecture, collaborate with product, ML, infra, and regulatory teams, uphold engineering standards, mentor peers, and ensure reliability, data integrity, and compliance for clinical trial workflows.

Leads software development for an NSF-funded research project, including mentoring students, supporting data collection, and performance engineering of multithreaded research software on multicore hardware. Participates in research meetings, brainstorming sessions, troubleshooting, and related duties. The role requires a bachelor’s degree; advanced computer science education and laboratory operations experience are preferred.

Senior Software Engineer responsible for designing enterprise .NET applications, developing ETL processes, managing relational databases and data warehouses, optimizing performance, and supporting data integration and reporting. The role includes mentoring engineers, conducting code reviews, collaborating with stakeholders, translating requirements into technical solutions, and contributing to agile planning and continuous improvement.

Lead design and delivery of enterprise Adobe Experience Platform solutions. Architect schemas, identity, ingestion, governance, personalization, and integrations with CRM/data lakes. Optimize CI/CD and deployment processes, mentor engineering teams, coordinate cross‑functional stakeholders, ensure security/privacy compliance, and produce architecture documentation and implementation roadmaps.

Design and develop scalable backend APIs and services for cloud-based scientific research and laboratory automation. Lead technical and product direction, ensure high availability through observability and on-call support, troubleshoot performance and security issues, participate in code reviews, and promote maintainable engineering practices. Work with scientists and engineers on data stores, sensor services, distributed execution, simulations, and experiment data processing using Go, Python, Rust, AWS, Docker, and Kubernetes.