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HEALTH[at]SCALE is a rapidly growing post-Series A healthcare machine intelligence startup founded by machine learning and clinical faculty with strong ties to MIT, Stanford, Harvard and U-Michigan. The company has been recognized for its efforts by Forbes, Becker’s, UCSF Digital Health Awards, Bloomberg, TechCrunch and MIT News. Our mission is to bring precision delivery to healthcare through cutting-edge machine learning and artificial intelligence that can predictively match the world's patients to the right treatments by the right providers at the right times. HEALTH[at]SCALE's machine intelligence platform and applications for care prediction are among the largest deployments to date of machine learning technologies for healthcare; helping leading organizations manage tens of millions of individuals in live production use. The company's software solutions service a broad range of use cases for managed care, accountable care and self-insured organizations, including: early targeted prediction and prevention of adverse outcomes, optimizing care planning and guiding effective treatment; refining and navigating provider networks; and reducing fraud, waste and abuse. For more information, please visit our website.

  • Guide new projects by identifying and formulating analytical problems underlying major healthcare challenges; and by establishing early indicators of data sufficiency and problem feasibility
  • Engage with a growing customer base to define opportunities; conduct exploratory data analysis and visualization
  • Extract novel insights from healthcare datasets to improve outcomes and economics of care
  • Design experiments and conduct rigorous analytical studies for evaluation and improvement

Minimum Qualifications
  • PhD in Computer Science, Statistics or related technical field; or MS in Computer Science, Statistics, or related field with 2+ years of experience with data science in industry
  • Strong understanding of working with real-world datasets, including: formulating meaningful questions to ask of the data, communicating problem statements and hypotheses, and designing experiments to test hypotheses
  • Strong understanding of the foundational concepts of data science, machine learning, artificial intelligence and statistics
  • Strong proficiency in Python or R
  • Excellent communication skills

Preferred Qualifications
  • Experience working with healthcare datasets (e.g., EHR/claims/omics/device/notes/image data)
  • Understanding of U.S. healthcare industry: e.g., primary stakeholders, regulatory environment, etc.

HEALTH[at]SCALE offers competitive salary, stock options, 401k, high-quality health benefits (medical, dental and vision), parental leave benefits and flexible work hours. Our team matters deeply to us and we place great importance on maintaining a positive work-life balance and to empowering each other to maximally achieve our personal and professional goals. HEALTH[at]SCALE is an equal opportunity employer and is committed to diversity in its hiring and business practices. All qualified candidates are encouraged to apply.

To all recruitment agencies: HEALTH[at]SCALE does not accept agency resumes. Please do not forward resumes to our jobs alias, HEALTH[at]SCALE employees or any organization location. HEALTH[at]SCALE is not responsible for any fees related to unsolicited resumes.