Backend Software Engineer, Fathom Health

• 2+ years of software engineering experience in a company/production setting
• Knowledge of algorithms, data structures and systems design
• Experience building data pipelines from disparate sources
• Hands-on experience building and scaling up compute clusters
• A solid understanding of databases and large-scale data processing frameworks like Hadoop or Spark and the ability to evaluate which tools to use on the job
• A unique combination of creative and analytic skills apt of designing a system capable of pulling together, training, and testing dozens of data sources under a unified ontology
• Experience with managing large-scale data labelling and acquisition, through tools such as through Amazon Turk or DeepDive

Desirable

• Developing data infrastructure to ingest, sanitize and normalize a broad range of medical data, such as electronics health records, journals, established medical ontologies, crowd-sourced labelling and other human inputs
• Building performant and expressive interfaces to the data
• Creating infrastructure to help us not only scale up data ingest, but large-scale cloud-based machine learning