permanent ( u.s. citizens only ) Analyst in Health Insurance and Financing (Vacancy #: VAR000563)

  • Opening Date: August 28, 2018
  • Closing Date: October 9, 2018
  • OPM Control Number: 509317000
  • Vacancy Number: VAR000563
  • LC Organization Unit: Congressional Research Service
  • LC Organization Unit - Specific Office: Domestic Social Policy Division
  • Grade: GS-14
  • Series: 0101
  • Minimum Salary: $114,590.00
  • Maximum Salary: $148,967.00
  • Availability: U.S. Citizens Only

The Congressional Research Service (CRS) seeks an Analyst in Health Insurance and Financing to join its Domestic Social Policy Division (DSP).

Applicants should have experience conducting analysis of issues related to private health insurance (employment-based and direct purchase) and/or public health insurance programs (e.g., Medicaid, Medicare) and related policies. Strong research, writing, and presentation skills and the ability to work as part of a collaborative team and to be responsive under time pressure are essential for success in this position. The work often requires rapid response to emerging policy issues during all phases of the legislative process, and given the breadth of private and public health insurance issues DSP covers for Congress, analysts must be capable of working on a range of issues in a health insurance portfolio that will likely evolve over time.

We expect this position to focus on private health insurance. The ideal candidate will have substantive knowledge of the private health insurance market and relevant legislation and regulation; experience researching issues of congressional interest, for example, health reform options, coverage and cost trends, or the interaction between federal and state health insurance regulations; the ability to make complex policy issues accessible to policymakers in writing and presentations; experience analyzing legislative language, regulatory provisions and sub-regulatory guidance; and experience leading and contributing to multi-disciplinary team projects. Experience with quantitative research is desirable, but not required.

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