Employer: Health at Scale Corporation
HEALTH[at]SCALE is a rapidly growing post-Series A Silicon Valley-based healthcare machine intelligence startup founded by machine learning and clinical faculty with strong ties to MIT, Stanford, Harvard and U-Michigan. The company was one of Forbes’ “25 Machine Learning Startups to Watch” for 2019. 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.ResponsibilitiesDesign and implement new predictive machine learning and artificial intelligence technologiesEngineer machine intelligence systems and infrastructure for real-world production use at scaleImprove the accuracy, runtime, scalability and reliability of machine intelligence systemsDevelop and implement machine intelligence platform APIs for multiple use-casesDrive architecture of platform and application capabilities embedding machine intelligenceBuild and enhance data pipelines and data warehouses for machine intelligenceWork cross-functionally with other teams to provide engineering leadership to complex projectsMinimum QualificationsBS, MS or PhD in Computer Science or related technical field2+ years of experience with data analytics and machine learning in academia or industryStrong understanding of the foundational concepts of machine learning and artificial intelligenceStrong proficiency in Python and cloud computing environmentsIn-depth knowledge and experience with distributed systems, relational databases, NoSQLFamiliarity with big data technology stack (e.g., Hadoop, Spark, Hive, HDFS etc.)Excellent communication skillsPreferred QualificationsExperience working with healthcare datasets (e.g., EHR/claims/omics/device/notes/image data)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.