Computational Biologist/Machine Learning Engineer

Spectrix Analytical Services is seeking a Computational Biology / ML Engineer to enable scientists to leverage computational tools for protein therapeutic design and build end-to-end machine learning pipelines. This role involves making systems accessible to scientists, integrating new tools, and developing automated ML pipelines that drive therapeutic discovery from a computational perspective.

Responsibilities:

• Develop and maintain automated end-to-end machine learning pipelines for protein therapeutic design
• Enable scientists to adopt and use computational tooling through documentation, CLI tools, and hands-on support
• Integrate new scientific tools into containerized environments and deploy them to Kubernetes
• Build and maintain Helm charts, container images, and deployment infrastructure as part of daily workflow
• Develop Python-based tooling and SDK integrations for workflow orchestration
• Collaborate with scientists and engineering leads to identify and build computational tools that accelerate discovery

Requirements:

• B.S. degree
• 0-2 Years related experience
• Strong Python development skills with experience building production-grade tooling or pipelines
• Working knowledge of Kubernetes, Helm, and container-based deployments
• Experience developing or deploying machine learning pipelines in a production environment
• Familiarity with infrastructure-as-code and CI/CD practices
• Willingness to learn computational biology and protein science domains
• Effective communicator who can work independently in a remote environment and collaborate with both engineers and scientists
• Exposure to Rust is a plus