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We are looking for innovative and creative individuals who seize opportunities to uncover hidden drivers, impacts, and key influences to support our product, leadership and clinical teams by applying optimization and statistical methods on a variety of data. You will work closely with the clinical program and product teams to support decision-making and will dig into a wide range of strategic and clinical problems.
Key Responsibilities:
Play a key role in gathering business requirements, using them for product analysis and uncovering actionable insights, and writing technical requirements; using a variety of analytic tools
Perform in-depth analysis of healthcare data coupled with data from product and other sources to independently design, develop, and deliver analytic deliverables that meet quality, cost and service objectives
Leveraging data from various sources, e.g., eligibility, medical, pharmacy claims, and data submitted by providers via the prior authorization process, working with Clinical Programs to analyze and simulate expected impact and ROI, e.g., medical expense, administrative cost, improved quality and outcomes
Present information using data visualization techniques and propose solutions and strategies to business challenges
Desired Profile:
3+ years analytical experience at company where health outcomes were critical to the mission, preferably a healthcare analytics company or population health organization
Proficient in current modeling approaches, standard scientific methods for intervention based analysis, trend identification, and data analytics
Strong experience using a variety of data mining/data analysis methods, utilizing a variety of analytic tools, building and implementing models, creating algorithms and running simulations
Experience with programming languages (Python, R, PySpark, Scala and/or Spark SQL)
Strong interest and understanding of EMR data, Claims and SDOH data
Experience with data visualization tools such as Tableau and Kibana, preferred
Bachelor’s or Master’s degree in STEM, public health, biostatistics, economics, or other related field
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