Senior Software Engineer, Data

Fathom is seeking a Senior Software Engineer, Data to join their team and contribute to their mission of using AI to analyze and structure medical data. The focus of this role is on developing data infrastructure, building interfaces, and creating scalable cloud-based machine learning systems. The ideal candidate should have at least 5 years of development experience and be skilled in building data pipelines. This is an exciting opportunity for someone interested in working with remote teammates and contributing to the advancement of healthcare technology.

• 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 scale up data ingest and large-scale cloud-based machine learning

• 5+ years of development experience in a company/production setting
• Experience building data pipelines
• Expertise in ingesting, sanitizing, and normalizing medical data
• Familiarity with electronic health records, journals, medical ontologies, crowd-sourced labeling, and other human inputs
• Ability to build performant and expressive interfaces to the data
• Proficiency in creating infrastructure for large-scale cloud-based machine learning

• Competitive salary range of $160,000 - $220,000 USD
• 5+ years of development experience in a company/production setting
• Experience building data pipelines from disparate sources
• Hands-on experience building and scaling up compute clusters
• Solid understanding of databases and large-scale data processing frameworks like Hadoop or Spark
• Ability to evaluate which tools to use on the job
• Unique combination of creative and analytic skills
• Bonus points for know-how of developing systems to do or support machine learning
• Bonus points for expertise with wrangling healthcare data and/or HIPAA
• Bonus points for experience with managing large-scale data labelling and acquisition