Top Biotech Software Engineer Jobs

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.

Own end-to-end software projects for Neuralink’s centralized data platform, including requirements gathering, architecture, full-stack development, data engineering, testing, and deployment. Collaborate with neuroscientists and multidisciplinary engineering teams to build tools for neural data, histology, manufacturing, and experimentation. Lead projects, conduct design and code reviews, iteratively improve MVPs, and deliver polished user experiences in ambiguous, rapidly changing environments.

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.

Develop and enhance the HALO digital pathology platform using C#/.NET Core and C++. Responsibilities include implementing features, debugging production issues, designing data storage solutions, applying scientific models, evaluating system tradeoffs, collaborating with cross-functional teams, and protecting PHI under HIPAA requirements.

Serves as a hands-on technology leader for G&A business systems, supporting procurement, legal, finance, HR, and facilities applications. Owns configuration, enhancements, integrations, testing, security administration, compliance, and outsourced support coordination. Builds AI and workflow automation solutions, improves business processes, supports SOX and ITGC controls, and partners with stakeholders on scalable enterprise applications and digital transformation.

Leads a front-line software engineering team responsible for clinical report-generation, rendering, and rules platforms. Owns hiring, coaching, delivery, technical quality, regulated change control, automation, testing, observability, production readiness, incident response, and compliance with SOX and FDA requirements. Partners with product, quality, regulatory, and site-reliability teams while remaining engaged in architecture and code reviews.

Develop and maintain scalable web applications, data analytics workflows, and instrument-control software using C#/.NET. Responsibilities include full software lifecycle delivery, architecture improvements, debugging distributed systems, unit testing, SQA collaboration, deployment, AI-assisted development, and hardware-software integration. The role also requires compliance with ISO 13485 and 21 CFR Part 11, collaboration with scientists and engineers, and onsite work three days weekly in Wallingford, Connecticut.

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.

Build and maintain scalable backend services, RESTful and GraphQL APIs, database schemas, and cloud infrastructure. Own architecture decisions, optimize performance and reliability, improve CI/CD practices, collaborate across product and engineering teams, lead architecture sessions, review code, and mentor junior developers.