Fathom
Fathom is on a mission to use AI to understand and structure the worlds medical data, starting by making sense of the terabytes of clinician notes contained within the electronic health records of the worlds largest health systems. Our deep learning engine automates the translation of patient records into the billing codes used for healthcare provider reimbursement, a process today that costs hospitals in the US $15B+ annually and tens of billions more in errors and denied claims. We are a venture-backed company that completed a Series B round of financing for $46M in late 2022.
We are looking for a
Software Engineer, Backend
to work on data products that drive the core of our business. We want to work with teammates in New York City, who are excited about learning how to build and support machine learning pipelines that scale not just computationally, but in ways that are flexible, iterative, and geared for collaboration. If you are a backend expert able to unify data, and build systems that scale from both an operational and an organizational perspective, Fathom is an opportunity worth exploring! Please note that New York area opportunities are hybrid only and require 3 days in office weekly at our financial district location in Manhattan. Your role and responsibilities will include:
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 We are looking for a teammate with:
2+ 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 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 A desire to collaborate in office 3 days weekly Bonus points if you have:
Know-how of developing systems to do or support machine learning, including experience working with NLP toolkits like Stanford CoreNLP, OpenNLP, and/or Pythons NLTK Expertise with wrangling healthcare data and/or HIPAA Experience with managing large-scale data labelling and acquisition, through tools such as through Amazon Turk or DeepDive Salary range:
$100 000 - $160 000 USD About the company
What if you had a coder who could code millions of charts per day at unparalleled accuracy and cost? Fathom uses AI to automatically code charts straight to billing. #J-18808-Ljbffr
Software Engineer, Backend
to work on data products that drive the core of our business. We want to work with teammates in New York City, who are excited about learning how to build and support machine learning pipelines that scale not just computationally, but in ways that are flexible, iterative, and geared for collaboration. If you are a backend expert able to unify data, and build systems that scale from both an operational and an organizational perspective, Fathom is an opportunity worth exploring! Please note that New York area opportunities are hybrid only and require 3 days in office weekly at our financial district location in Manhattan. Your role and responsibilities will include:
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 We are looking for a teammate with:
2+ 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 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 A desire to collaborate in office 3 days weekly Bonus points if you have:
Know-how of developing systems to do or support machine learning, including experience working with NLP toolkits like Stanford CoreNLP, OpenNLP, and/or Pythons NLTK Expertise with wrangling healthcare data and/or HIPAA Experience with managing large-scale data labelling and acquisition, through tools such as through Amazon Turk or DeepDive Salary range:
$100 000 - $160 000 USD About the company
What if you had a coder who could code millions of charts per day at unparalleled accuracy and cost? Fathom uses AI to automatically code charts straight to billing. #J-18808-Ljbffr