Cohere Health
Lead Healthcare Analyst
United States ยท Senior
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About the role
- 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.
Responsibilities
- 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.
- 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.
- Maintain meticulous documentation and present findings or recommendations to company leadership and internal stakeholders
Requirements
- 7+ years of experience working in a big-data analytics role.
- Collaboration: Experience interfacing with internal and external business stakeholders on the development and read out of client and program specific KPIs.
- Communication Skills: Strong verbal and written communication skills required.
- Experience with clinical and utilization management programs for specialty care (e.g. musculoskeletal, cardiology, imaging, oncology, pharmacy).
- In accordance with state applicable laws, Cohere is required to provide a reasonable estimate of the compensation range for this role.
Skills
- Experience working with unstructured data from EMR/EHR systems (e.g. office visit notes, imaging reports).
- Familiarity with AWS Athena and Sagemaker.
- Master's degree in healthcare or quantitative field.
- Connect with Talent Acquisition for a Preliminary Phone Screening
- Meet your Hiring Manager!
- Case Study and Presentation
- Team Interview
- Leadership Interview
- Strong verbal and written communication skills required.
Compensation
- The salary range for this position is $112,000 to $125,000 annually; as part of a total benefits package which includes health insurance, 401k and bonus.
Benefits
- ๐ฉบ Medical, dental, vision, life, disability insurance, and Employee Assistance Program
- ๐ 401K retirement plan with company match; flexible spending and health savings account
- ๐๏ธ Flexible Time Off + Company Holidays
- ๐ถ Up to 14 weeks of paid parental leave
- The salary range for this position is $112,000 to $125,000 annually; as part of a total benefits package which includes health insurance, 401k and bonus.
- Independently lead in-depth analyses and Identify optimization opportunities by applying statistical data mining, and predictive modeling methods on administrative and clinical health data.
- 2+ years of hands-on project leadership experience in the healthcare industry.
- 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.
Company info
- We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all.
Equal opportunity
- Statement:
- Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all. To us, it's personal.
- #LI-Remote
- #BI-Remote
This listing is sourced directly from Cohere Health's careers page and normalized into a canonical job model.