{"schemaVersion":"jobsearcher.job.v1","id":"cec29b58fef730177ffedf90","url":"https://jobsearcher.com/jobs/cec29b58fef730177ffedf90","canonicalUrl":"https://jobsearcher.com/jobs/cec29b58fef730177ffedf90","title":"Data Scientist","description":"Job Description:\n1. Define and Track ROI Metrics\nDevelop standardized frameworks to quantify the performance and ROI of AI/ML projects across various healthcare domains.\nEstablish baselines, targets, and monitoring processes to measure project impact that help guide ongoing investment decisions.\nAI/ML Performance Evaluation\nConstruct and maintain robust performance dashboards and reports highlighting AI/ML model accuracy, precision, recall, and other project-specific metrics such as operational effectiveness, cost savings, and patient outcomes.\nAnalyze model performance and operational metrics to identify trends, anomalies, and areas of improvement.\nWork closely with other data scientists and the software engineering team to drive the implementation of model retraining, adjustments, and fixes as needed.\nData Analysis and Dashboard and Report Development\nUtilize programming languages like Python and SQL to build and maintain production-level code necessary for defining and tracking ROI and AI/ML performance metrics.\nCreate data exploration, cleaning, transformation scripts as necessary to support defining robust metrics applicable to each AI/ML projects across diverse healthcare data sources (e.g., EHR data, claims data, patient outcomes).\nEmploy statistical techniques necessary to draw conclusions about AI/ML solution effectiveness and evaluate the tangible benefits of AI/ML projects in the areas of patient care quality, cost reduction, and operational efficiency.\nCross-Functional Collaboration\nPartner with clinicians, administrators, IT professionals, and executive leadership to identify pain points where AI/ML can drive high-impact solutions.\nCommunicate technical findings and ROI implications to both technical and non-technical stakeholders.\nCollaborate with teams to integrate data science solutions into existing workflows and measure post-implementation success.\nContinuous Improvement\nStay current with emerging trends in machine learning and healthcare analytics, recommending enhancements to data science and ROI tracking methodologies.\nActively contribute to the growth and development of HMH’s data science team culture by sharing best practices.\nEducation, Knowledge, Skills, and Abilities Required\nEducation & Technical Expertise\nBachelor’s degree in Computer Science, Data Science, Statistics, or a related quantitative field.\nExpertise with Python and SQL for data manipulation, statistical analysis, and AI/ML model evaluation.\nExpertise in building dashboards in tools like Tableau or Looker Studio\nProficiency in machine learning algorithms, statistical modeling, and performance evaluation.\nHealthcare Knowledge\nFamiliarity with electronic health records (EHR) systems, healthcare data structures, and relevant industry standards (e.g., HIPAA).\nUnderstanding of key healthcare metrics (e.g., readmission rates, hospital-acquired conditions, length of stay).\nAnalytical and Problem-Solving Skills\nProven track record of designing and tracking clear ROI metrics for AI/ML initiatives.\nExperience extracting insights from large and complex datasets.\nAbility to identify critical issues, propose data-driven solutions, and measure outcomes.\nCommunication and Stakeholder Engagement\nStrong communication skills to articulate complex technical concepts to varied audiences.\nDemonstrated ability to influence and build relationships across clinical, operational, and technical teams.\nEducation, Knowledge, Skills, and Abilities Preferred\nMaster’s degree or PhD in Data Science, Biomedical Informatics, or related field.\nExperience with the Google Cloud Platform, git, GitHub, Docker.\nExperience building dashboards in Looker Studio.\nIn-depth knowledge of Python statistical analysis tools and frameworks.\nFamiliarity with the Epic Clarity data model.\nJob Type: Contract\nPay: $50.93 - $70.00 per hour\nSchedule:\n8 hour shift\nExperience:\nData Science (ROI focus): 7 years (Required)\nROI: 7 years (Required)\nhealthcare domain: 7 years (Required)\nAI/ML: 7 years (Required)\nPython: 7 years (Required)\nSQL: 7 years (Required)\nelectronic health records (EHR) systems: 7 years (Required)\nLooker Studio: 7 years (Required)\nEpic Clarity: 7 years (Required)\nWork Location: Remote","company":"Parkcomputersystems","rawCompany":"parkcomputersystems","city":"Remote","state":"OR","isRemote":false,"isActive":false,"createdAt":"2026-08-09T13:52:14.158Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.01","title":"Business Intelligence Analysts","slug":"business-intelligence-analysts"}],"industries":[{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"622110","title":"General Medical and Surgical Hospitals","slug":"general-medical-and-surgical-hospitals"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Scientist","description":"Job Description:\n1. Define and Track ROI Metrics\nDevelop standardized frameworks to quantify the performance and ROI of AI/ML projects across various healthcare domains.\nEstablish baselines, targets, and monitoring processes to measure project impact that help guide ongoing investment decisions.\nAI/ML Performance Evaluation\nConstruct and maintain robust performance dashboards and reports highlighting AI/ML model accuracy, precision, recall, and other project-specific metrics such as operational effectiveness, cost savings, and patient outcomes.\nAnalyze model performance and operational metrics to identify trends, anomalies, and areas of improvement.\nWork closely with other data scientists and the software engineering team to drive the implementation of model retraining, adjustments, and fixes as needed.\nData Analysis and Dashboard and Report Development\nUtilize programming languages like Python and SQL to build and maintain production-level code necessary for defining and tracking ROI and AI/ML performance metrics.\nCreate data exploration, cleaning, transformation scripts as necessary to support defining robust metrics applicable to each AI/ML projects across diverse healthcare data sources (e.g., EHR data, claims data, patient outcomes).\nEmploy statistical techniques necessary to draw conclusions about AI/ML solution effectiveness and evaluate the tangible benefits of AI/ML projects in the areas of patient care quality, cost reduction, and operational efficiency.\nCross-Functional Collaboration\nPartner with clinicians, administrators, IT professionals, and executive leadership to identify pain points where AI/ML can drive high-impact solutions.\nCommunicate technical findings and ROI implications to both technical and non-technical stakeholders.\nCollaborate with teams to integrate data science solutions into existing workflows and measure post-implementation success.\nContinuous Improvement\nStay current with emerging trends in machine learning and healthcare analytics, recommending enhancements to data science and ROI tracking methodologies.\nActively contribute to the growth and development of HMH’s data science team culture by sharing best practices.\nEducation, Knowledge, Skills, and Abilities Required\nEducation & Technical Expertise\nBachelor’s degree in Computer Science, Data Science, Statistics, or a related quantitative field.\nExpertise with Python and SQL for data manipulation, statistical analysis, and AI/ML model evaluation.\nExpertise in building dashboards in tools like Tableau or Looker Studio\nProficiency in machine learning algorithms, statistical modeling, and performance evaluation.\nHealthcare Knowledge\nFamiliarity with electronic health records (EHR) systems, healthcare data structures, and relevant industry standards (e.g., HIPAA).\nUnderstanding of key healthcare metrics (e.g., readmission rates, hospital-acquired conditions, length of stay).\nAnalytical and Problem-Solving Skills\nProven track record of designing and tracking clear ROI metrics for AI/ML initiatives.\nExperience extracting insights from large and complex datasets.\nAbility to identify critical issues, propose data-driven solutions, and measure outcomes.\nCommunication and Stakeholder Engagement\nStrong communication skills to articulate complex technical concepts to varied audiences.\nDemonstrated ability to influence and build relationships across clinical, operational, and technical teams.\nEducation, Knowledge, Skills, and Abilities Preferred\nMaster’s degree or PhD in Data Science, Biomedical Informatics, or related field.\nExperience with the Google Cloud Platform, git, GitHub, Docker.\nExperience building dashboards in Looker Studio.\nIn-depth knowledge of Python statistical analysis tools and frameworks.\nFamiliarity with the Epic Clarity data model.\nJob Type: Contract\nPay: $50.93 - $70.00 per hour\nSchedule:\n8 hour shift\nExperience:\nData Science (ROI focus): 7 years (Required)\nROI: 7 years (Required)\nhealthcare domain: 7 years (Required)\nAI/ML: 7 years (Required)\nPython: 7 years (Required)\nSQL: 7 years (Required)\nelectronic health records (EHR) systems: 7 years (Required)\nLooker Studio: 7 years (Required)\nEpic Clarity: 7 years (Required)\nWork Location: Remote","datePosted":"2026-08-09T13:52:14.158Z","dateModified":"2026-08-09T13:52:14.158Z","hiringOrganization":{"@type":"Organization","name":"Parkcomputersystems","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote","addressRegion":"OR","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"cec29b58fef730177ffedf90"},"url":"https://jobsearcher.com/jobs/cec29b58fef730177ffedf90"}}