Senior Software Engineer | FATHOM | Remote (United States)

<p class=" text-gray-200 text-base sm:text-lg leading-relaxed mb-3">Fathom is on a mission to use AI to understand and structure the world’s medical data, starting by making sense of the terabytes of clinician notes contained within the electronic health records of the world’s 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.</p>
<p class=" text-gray-200 text-base sm:text-lg leading-relaxed mb-3">We are looking for a <strong class=" font-semibold">Senior Software Engineer (Backend/Data)</strong> based remotely in the USA to work on data products that drive the core of our business. We want to work with remote teammates 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!</p>
<h3 class=" text-white font-semibold text-lg mb-2">Your role and responsibilities will include:</h3>
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<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">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</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Building performant and expressive interfaces to the data</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Creating infrastructure to help us not only scale up data ingest, but large-scale cloud-based machine learning</span></li>
</ul>
<h3 class=" text-white font-semibold text-lg mb-2"><strong class=" font-semibold">We are looking for a teammate with:</strong></h3>
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<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">5+ years of software engineering experience in a company/production setting</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Knowledge of algorithms, data structures and systems design</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Experience building data pipelines from disparate sources</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Hands-on experience building and scaling up compute clusters</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">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</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">A unique combination of creative and analytical skills apt of designing a system capable of pulling together, training, and testing dozens of data sources under a unified ontology</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Bachelor&#8217;s degree majoring in Computer Science, Computer Engineering, a STEM major or similar</span></li>
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<h3 class=" text-white font-semibold text-lg mb-2"></h3>
<h3 class=" text-white font-semibold text-lg mb-2">Bonus points if you have:</h3>
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<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Know-how of developing systems to do or support machine learning, including experience working with NLP toolkits like Stanford CoreNLP, OpenNLP, and/or Python’s NLTK</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Expertise with wrangling healthcare data and/or HIPAA</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Experience with managing large-scale data labelling and acquisition, through tools such as through Amazon Turk or DeepDive</span></li>
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<h3 class=" text-white font-semibold text-lg mb-2"><strong class=" font-semibold">Compensation:</strong></h3>
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<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Salary: $175,000 USD &#8211; $220,000 USD</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Company Equity</span></li>
</ul>
<h3 class=" text-white font-semibold text-lg mb-2"><strong class=" font-semibold">Benefits:</strong></h3>
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<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">PTO and Uncapped Sick Days</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Medical/Dental/Vision Coverage</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">401k Matching</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">$1,500 USD Home Office Budget</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Virtual and Local Office (San Francisco, New York City and Toronto) Team Building Events</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Annual Company Off-site</span></li>
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