Senior Software Engineer
Data
Updated on 2/29/2024
Fathom Health

51-200 employees

AI-powered autonomous medical coding for healthcare efficiency
Company Overview
Fathom is a pioneering company in the healthcare sector, utilizing advanced deep learning and natural language processing to autonomously code patient encounters, offering the highest automation rates and broadest specialty coverage in the industry. With the capacity to code millions of charts per day, Fathom can reduce coding operation costs by up to 50%, significantly shorten coding turnaround times, and provide on-demand coding capacity, all while ensuring patient information security. Backed by prominent investors and healthcare leaders, Fathom's technology is a testament to its industry leadership and commitment to enhancing efficiency in healthcare systems globally.
AI & Machine Learning

Company Stage

Series B

Total Funding

$65.9M

Founded

2017

Headquarters

San Francisco, California

Growth & Insights
Headcount

6 month growth

26%

1 year growth

77%

2 year growth

142%
Locations
New York, NY, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python NLTK
Data Structures & Algorithms
Apache Spark
Natural Language Processing (NLP)
Hadoop
Data Analysis
CategoriesNew
AI & Machine Learning
Software Engineering
Requirements
  • 5+ 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
  • Solid understanding of databases and large-scale data processing frameworks like Hadoop or Spark
  • Desire to collaborate in office 3 days weekly
Responsibilities
  • Developing data infrastructure to ingest, sanitize and normalize a broad range of medical data
  • Building performant and expressive interfaces to the data
  • Creating infrastructure to help scale up data ingest and large-scale cloud-based machine learning
Desired Qualifications
  • 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
  • Expertise with wrangling healthcare data and/or HIPAA
  • Experience with managing large-scale data labeling and acquisition, through tools such as Amazon Turk or DeepDive