Machine Learning Scientist
HEALTH[at]SCALE Technologies San Jose, CA, USA $100k – $180k Full Time Any
About HEALTH[at]SCALE Technologies

HEALTH[at]SCALE is a rapidly growing healthcare machine intelligence startup founded by machine learning and clinical faculty with strong ties to MIT, Stanford, Harvard and U-Michigan. Our goal is to transform healthcare delivery through bleeding-edge innovations in machine learning and artificial intelligence. HEALTH[at]SCALE’s machine intelligence platform for care prediction is used by payers and providers to manage millions of patients each day. Our technologies offer breakthrough capabilities to match patients to the right treatments by the right providers at the right times at critical points across the care continuum.

There are several things that are important to us as a company. We are committed to ensuring longer, healthier and happier lives. We continuously push the envelope on machine learning and artificial intelligence. We take pride in engineering scalable and secure software systems and applications. We innovate on new use cases and applications of machine intelligence to solve major healthcare challenges. We are deeply passionate about bringing together exceptionally talented individuals to drive the endless possibilities to improve care.

Job Description

Responsibilities: 

  • Design and implement new predictive machine learning and artificial intelligence algorithms 
  • Extract novel insights from healthcare datasets to improve outcomes and economics of care 
  • Identify and formulate analytical problems underlying major healthcare challenges 
  • Design experiments and conduct rigorous analytical studies for evaluation and improvement 
  • Conduct exploratory data analysis and visualization 
  • Work closely with engineering teams to turn methods into production-ready technologies 
  • Engage with a growing customer base to define opportunities


Requirements

Minimum Qualifications: 

  • PhD in Computer Science, Statistics or related technical field 
  • Strong understanding of the foundational concepts of machine learning and artificial intelligence 
  • Familiarity with modern machine learning and optimization toolkits 
  • Strong proficiency in Python or R
  • Excellent communication skills


Preferred Qualifications: 

  • Track record of publishing at leading AI/ML venues (e.g., NIPS, ICML, AAAI, ICDM, KDD) 
  • Experience working with healthcare datasets (e.g., EHR/claims/omics/device/notes/image data)

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