This Position is for a Health Policy Consulting Director (Evergreen search) with a remote work location in NC.

What you will be doing

This position plays an integral role in developing, delivering. and selling data-driven solutions to clients as part of evolving the Reimbursement Policy Analytics offering. Passionate about helping clients anticipate reimbursement challenges and creating targeted reimbursement and health policy solutions that maximize patient access at every stage of the product life cycle.

Success as the Health Policy Consulting Director will largely depend on the ability to perform the following functions holistically:

Strong subject matter expertise in life sciences healthcare policy (eg, Medicare and Medicaid policy and regulations, Inflation Reduction Act, federal budget scoring models, alternative payment models, etc.)

Familiarity with key data sources for healthcare analysis (eg, Medicare claims, Medicare Part D data, commercial claims data, Medical Expenditure Panel Survey data, Medicare Current Beneficiary Survey data)

Experience working with patient advocacy and industry groups is preferred

Quickly recognize and understand clients’ business questions

Develop data-driven solutions and analysis frameworks that clearly answer those questions

Execute analysis plans effectively and efficiently and be flexible enough to shift directions, if needed

Interpret and summarize results accurately

Quickly recognize and understand clients’ business questions

Create story-based narratives that articulate how results directly inform product launch strategies or influence policy decision-makers

As a Health Policy Consulting Director, a typical day might include:

Overseeing and reviewing both qualitative and quantitative policy analyses

Qualitative analyses include policy landscape assessments, legislative and regulatory summaries, comment letter creation, and resources for Government Affairs teams to influence policymakers

Quantitative analyses include claims data analyses, Medicare payment system analyses, and budget score models to prioritize issues that inï¬?uence client’s ability to operate eï¬?ectively as an innovative company

Monitoring policy strategies and initiatives that address key issues in healthcare environment, including pharmaceutical coverage/access and reimbursement, and provide strategic consulting services to clients to support clients’ business priorities

Developing Excel-based reimbursement analyses and models and using prior SAS programming experience to either perform analyses or coach SAS coders through complex programming strategies

Managing company’s data repository and coordinating across corporate units to maximize use of available data for client projects

Identifying new data sources and meeting with data vendors to evaluate their data assets and use case scenarios for reimbursement and health policy projects

Identifying how legislative and regulatory issues will affect clients and their portfolios, and using a variety of data sets, provide insights to internal team members and external clients regarding emerging policies to inform the business development strategy

Serving as a senior member of the Reimbursement Policy Analytics service offering as part of the Reimbursement & Policy Insights team

Maintaining current, and developing new, client relationships around quantitative health policy analytics with a focus on pharmaceuticals

Refining and further develop relevance and breadth of existing RPA offerings

Collaborating with other company service lines that include the HEOR, RWE, and economic modelling teams on data-driven projects and business development opportunities with reimbursement elements

Securing opportunities and writing new business development proposals, and coordinate with cross-company team members for RFP responses and presentations

Developing content marketing materials that highlight company understanding of reimbursement, policy, and economics issues

Training, supervising, and serving as coach/mentor to members of Reimbursement Policy Insights team, particularly those involved in analytics

Level of role is subject to change based on the experience of the candidate.

What your background should look like

EXPERIENCE AND EDUCATIONAL REQUIREMENTS:

Graduate degree in public policy, healthcare policy or law, or another related field

Minimum of 8+ years relevant healthcare policy and reimbursement experience

Quantitative analytical skills, including advanced knowledge of Microsoft Excel and SAS

Deep understanding of core policy issues relevant to industry, including the Inflation Reduction Act, PBM transparency, 340B, etc.

Robust expertise in  Medicare payment policies, particularly related to pharmaceuticals and associated services, is strongly preferred

Experience and comfort with existing Medicare and commercial data sets, including but not limited to medical claims, prescription drug claims, hospital chargemaster data, medical policy data, prescription formulary coverage data

Experience in a wide range of topics, including coverage, coding, and payment across commercial and public payers, drug distribution and specialty pharmacy, and patient support services

Ability to translate detailed technical information to others with limited experience in policy or quantitative analysis

Excellent verbal and written communication skills and presentation skills to convey complex and changing legislation, regulations, and their impact

Ability to travel 15% - 20%.  Travel would be primarily for in-person meetings with policy clients in Washington, DC.

Equal Employment Opportunity

Committed to providing equal employment opportunity without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, age, disability, veteran status or membership in any other class protected by federal, state or local law.

The company’s continued success depends on the full and effective utilization of qualified individuals. Therefore, harassment is prohibited and all matters related to recruiting, training, compensation, benefits, promotions and transfers comply with equal opportunity principles and are non-discriminatory.