Software Engineer (Mid to Sr Levels)

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Software Engineer (Mid to Sr Levels) based in the United States.

This role sits at the intersection of full-stack engineering, scientific data systems, and AI-augmented software development in a fast-evolving biotechnology environment. You will contribute to building and scaling a complex platform that powers high-throughput proteomics workflows, including laboratory information management systems, large-scale data pipelines, and web-based scientific analysis tools. The work is highly cross-functional, involving close collaboration with scientists, data engineers, and product teams to translate real-world lab processes into robust software systems. You will also help shape how AI tools and agentic workflows are integrated into core engineering practices, influencing both how software is built and how biological data is processed at scale. This is a hands-on engineering role where your work directly impacts scientific research workflows, operational efficiency, and the advancement of computational biology capabilities. It is well suited for engineers who enjoy building end-to-end systems that bridge software engineering and life sciences.

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Software Engineer (Mid to Sr Levels) based in the United States.

This role sits at the intersection of full-stack engineering, scientific data systems, and AI-augmented software development in a fast-evolving biotechnology environment. You will contribute to building and scaling a complex platform that powers high-throughput proteomics workflows, including laboratory information management systems, large-scale data pipelines, and web-based scientific analysis tools. The work is highly cross-functional, involving close collaboration with scientists, data engineers, and product teams to translate real-world lab processes into robust software systems. You will also help shape how AI tools and agentic workflows are integrated into core engineering practices, influencing both how software is built and how biological data is processed at scale. This is a hands-on engineering role where your work directly impacts scientific research workflows, operational efficiency, and the advancement of computational biology capabilities. It is well suited for engineers who enjoy building end-to-end systems that bridge software engineering and life sciences.

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

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