Healx

Machine Learning Engineer

• Build automated reasoning over large knowledge graphs and proprietary methods for efficient generation of experimentally testable therapeutic hypotheses
• Contribute to building, maintaining and improving our rare-disease knowledge graphs used to identify and reason over novel therapeutic hypotheses
• Develop agentic tools and workflows to enable our teams to unlock insight from proprietary data and large datasets
• Contribute and advocate for best engineering practices across our tech teams

Platform Engineer

• Design, build, maintain and improve cloud infrastructure in AWS (and some GCP) to enable AI drug discovery workflows
• Follow infrastructure as code (IaC) and CI/CD principles to build maintainable infrastructure using Terraform and CircleCI
• Take advantage of latest AWS tools and apply best practices across our cloud estate to ensure security, availability and observability
• Work closely with technical users across the company to understand and support their computational needs
• In collaboration with data scientists write code to build, test and automate production pipelines in tools such as Nextflow, Airflow, MLflow and KNIME
• Embrace the use of AI coding tools and agents to accelerate delivery while retaining responsibility for system design, implementation and testing of code