Senior Data Analyst @Cohere Health (100,000 - 120,000)
LInk: https://boards.greenhouse.io/coherehealth/jobs/5648884003
What you’ll do:
Quickly and deeply understand Cohere’s clinical content, products, services and clinical programs and how Cohere’s x-functional collaboration and workflow intersect with healthcare providers’ workflow and patients’ care journey.
Work x- functionally and produce analytics and reports and draw business and clinical insights to:
Identify target patient and provider population, and moment of influence
Define outcome and success metrics and set targets with clinical program leaders Ongoing monitoring of clinical programs and pilots and refine targets Retrospective formal program evaluation using advanced econometrics Create reports and data visualizations to share insights with stakeholders Maintain documentation of methodology of opportunity analysis/impact evaluation analysis so they are ready to quickly scale to multiple programs and interventions across types of services, care paths/diagnosis groups and lines of business (e.g., Medicare Advantage, commercial Medicaid). Proactively identify opportunities and open questions to better inform clinical speciality program opportunities and strategy around medical expense trend and quality of care, such as Analysis of market and provider variation in trend, utilization, cost and quality, by LOB and procedures
Predictive modeling or cluster analysis to identify addressable drivers of unfavorable utilization, cost or quality trends
Create dashboard (e.g., in Tableau), as well as generate client facing deliverables to report out medical expense, trend and quality performance, as well as business and clinical insights associated with any gap to inform actions. Coordinate analytics activities across multiple projects simultaneously Work collaboratively with internal and external teams to deliver high-quality, on-time results Your background: Passionate about improving the U.S. healthcare system and helping ensure every patient receives the best care possible. Self-starter, able to work independently, able to succeed in a fast-paced, high intensity start-up environment Strong written and verbal communication skills Minimum 5 years of professional experience in healthcare industry (payer, provider, consulting), with demonstrated quantitative analytical and critical thinking skills Advanced knowledge of observational data analysis methodology (e.g., predictive modeling, machine learning, pre- and post-, quasi-experimental design, difference in differences) with large data including medical claims, pharmacy, and eligibility data. Advanced knowledge of analytical and programing languages, (e.g., SQL or R, Python) and BI tool e.g. Tableau Experience working with medical, pharmacy, and lab claims as well as EHR data to extract clinical information for analytics and modeling purposes Master’s Degree in a quantitative discipline such as Epidemiology, Economics, Statistics, Data Science, and/or related fields required. Experience with clinical and utilization management programs for speciality care (e.g., musculoskeletal, cardiology, imaging, oncology, pharmacy) preferred.
Define outcome and success metrics and set targets with clinical program leaders Ongoing monitoring of clinical programs and pilots and refine targets Retrospective formal program evaluation using advanced econometrics Create reports and data visualizations to share insights with stakeholders Maintain documentation of methodology of opportunity analysis/impact evaluation analysis so they are ready to quickly scale to multiple programs and interventions across types of services, care paths/diagnosis groups and lines of business (e.g., Medicare Advantage, commercial Medicaid). Proactively identify opportunities and open questions to better inform clinical speciality program opportunities and strategy around medical expense trend and quality of care, such as Analysis of market and provider variation in trend, utilization, cost and quality, by LOB and procedures
Predictive modeling or cluster analysis to identify addressable drivers of unfavorable utilization, cost or quality trends
Create dashboard (e.g., in Tableau), as well as generate client facing deliverables to report out medical expense, trend and quality performance, as well as business and clinical insights associated with any gap to inform actions. Coordinate analytics activities across multiple projects simultaneously Work collaboratively with internal and external teams to deliver high-quality, on-time results Your background: Passionate about improving the U.S. healthcare system and helping ensure every patient receives the best care possible. Self-starter, able to work independently, able to succeed in a fast-paced, high intensity start-up environment Strong written and verbal communication skills Minimum 5 years of professional experience in healthcare industry (payer, provider, consulting), with demonstrated quantitative analytical and critical thinking skills Advanced knowledge of observational data analysis methodology (e.g., predictive modeling, machine learning, pre- and post-, quasi-experimental design, difference in differences) with large data including medical claims, pharmacy, and eligibility data. Advanced knowledge of analytical and programing languages, (e.g., SQL or R, Python) and BI tool e.g. Tableau Experience working with medical, pharmacy, and lab claims as well as EHR data to extract clinical information for analytics and modeling purposes Master’s Degree in a quantitative discipline such as Epidemiology, Economics, Statistics, Data Science, and/or related fields required. Experience with clinical and utilization management programs for speciality care (e.g., musculoskeletal, cardiology, imaging, oncology, pharmacy) preferred.
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