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Principal Data Scientist

The Mission of the Data Science team at Prognos is to build an AI solution that beats the MD at predicting disease. We are working to develop, scale and deploy Machine Learning throughout all of our products and services. We are looking for a Principal Data Scientist to join the team and help us solve complex problems related to deploying AI on top of the largest, richest lab dataset in the Country: 11B clinical records on over 165M patients.

Candidates must have a Master's or higher degree in Mathematics, Computer Science, Statistics, or other quantitative field, with at least seven years of experience in the fields of Data Science or Applied Machine Learning.

Required Skills and Experience:

  • Strong statistical data analysis background and a deep understanding and proven experience on a variety of machine intelligence algorithms and techniques, and their applicability to real world problems
  • Experience with cloud-based services such as AWS, using massive SQL and NoSQL databases such as S3 and MongoDB
  • Experience deploying production-level code on distributed systems using languages such as Spark or Scala
  • Extensive data cleaning and manipulation experience
  • Thorough understanding of experimental practices, error analysis, and evaluation approaches
  • Comfortable with standard machine learning toolkits; ability to build solution prototypes in a language such as Python
  • Strong communication skills. Experience presenting experimental findings to people who are not Data Scientists or ML experts
  • Ability to collaborate with the team and translate existing research into practical solutions and products
  • Ability to build and maintain relationships with various collaborators across the company, and take ownership of data science projects and proof of concepts

Preferred Skills and Experience:

  • Familiarity with deep learning models and NLP, and with machine intelligence frameworks such as TensorFlow and Spark MLlib
  • Familiarity with data visualization tools such as Tableau
  • Experience with healthcare data a plus

Prognos Values & Culture:

  • We are collaborative. We put team trust and energy ahead of individual stardom. We are humble and willing to admit when wrong.
  • We go above and beyond.  We exceed the needs of our partners and are not limited by our job descriptions. We are accountable for our actions, work, decisions, and results.
  • We are purposeful in all that we do. We focus on what matters and prioritize.  We think in perspective and see the full picture.
  • We are curious. We learn from solving big problems.  We are never satisfied and always strive for a better way. We aim to continually develop ourselves.
  • We are courageous and honest.  We are not afraid to speak out. We challenge the process.  We deal with conflict head on.
  • We are enthusiastic. We are optimistic for change and a better future. We believe in the greater good. We celebrate accomplishments and have fun.
  • Our culture guide:

About Prognos

Prognos is a healthcare AI company focused on predicting disease to drive decisions earlier in healthcare in collaboration with payers, Life Sciences and diagnostics companies. The Prognos Registry is the largest source of clinical diagnostics information in 50 disease areas, with over 13B medical records for 180M patients. Prognos has 1000 extensive proprietary and learning clinical algorithms to enable earlier patient identification for enhanced treatment decision-making, risk management and quality improvement. The company is supported by a $42M investment from Safeguard Scientifics, Inc. (NYSE: SFE), Merck Global Health Innovation Fund (GHIF), Cigna (CI), GIS Strategic Ventures, Hikma Ventures, Hermed Capital, and Maywic Select Investments. For more information, visit

Our Mission:

To improve health by tracking and predicting disease the earliest

Our Vision:

To eradicate disease so that humanity reaches its full potential

Selected Perks:

  • Free FreshDirect food, snacks, drinks, etc. delivered to the office weekly
  • Flexible work arrangements
  • Monthly Happy Hours with Leadership
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