Healthcare Analyst

Opportunity Overview:

This is an excellent opportunity for an outstanding Lead Healthcare Analystto join a Series C digital health company. You will work closely with clinicians, program implementation, operation experts, informaticists, data scientists, and actuaries to support data-driven clinical programs. These programs are essential in improving a) payor/provider/patient collaboration, b) quality of care and patient outcomes, and c) healthcare utilization and spending efficiency. The work will be fast-paced and project-based, with evolving needs requiring adaptability, curiosity, and grace under pressure.  

What you’ll do:

• Cultivate a deep understanding of Cohere’s clinical content, UM products and clinical programs and use analytics to produce insights to drive program effectiveness and value for internal business partners and clients.
• Lead clinical analytics projects, collaborating with multi-disciplinary partners, to understand business needs, clinical nuances, formulate plans, build and maintain analytical and reporting solutions.
• Independently lead in-depth analyses and Identify optimization opportunities by applying statistical data mining, and predictive modeling methods on administrative and clinical health data.
• Track cost, utilization, and industry trends to inform stakeholders of product performance and provide data-driven insights around opportunities to optimize clinical value for patients, providers and payors.
• Collaborate with clinical, account management, data science, and engineering partners to refine Cohere’s product features and client support.
• Foster a collaborative and innovative culture, mentor junior analysts.
• Maintain meticulous documentation and present findings or recommendations to company leadership and internal stakeholders

What you’ll need:

• Work experience:

• 7+ years of experience working in a big-data analytics role.

• 2+ years of hands-on project leadership experience in the healthcare industry.

• Collaboration: Experience interfacing with internal and external business stakeholders on the development and read out of client and program specific KPIs.

• Data Analysis and Interpretation: Ability to use statistical analysis and modeling tools (such as SQL and Python) to extract insights from complex healthcare data, interpret trends, and derive actionable recommendations.

• Healthcare Knowledge: Understanding of healthcare systems, medical terminologies, clinical workflows, and experience with large data sets including medical claims, pharmacy, and eligibility data.