Ground Ambulance Policy SME

Remote Full-time
Job Description Remote Work: Hybrid Job Number: R0234063 Location: Washington,DC,US Share job via: Share Ground Ambulance Policy SME The Opportunity: As an analytics professional, you're excited at the prospect of unlocking the secrets held by a data set. You're fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. We are looking for an advanced data scientist with extensive ground ambulance subject matter expertise to support our client. Join us. The world can't wait. You Have: • Experience with the CMS Medicare Ground Ambulance Data Collection System, the CMS Emergency Triage, Treat, and Transport (ET3) model, or the CMS Repetitive Scheduled Non-Emergency Transports (RSNAT) model • Experience advising federal clients on Medicare policy and operations while developing deep, trusting advisory relationships • Experience gathering requirements for analyses to answer research questions, and developing and delivering presentations of results to clients • Experience overseeing the work of analysts conducting claims data analyses • Knowledge of federal rulemaking processes • Knowledge of data validation procedures to drive data quality in user-submitted data systems • Ability to comprehend federal health policy and design analyses to support monitoring and the impact of policy changes • Ability to provide publication of peer-reviewed articles that use the National EMS Information System (NEMSIS) dataset, the National Registry of Emergency Medical Technicians (NREMT), or ambulance claims data • Master's degree in Public Policy, Public Health, Economics, or Data Analytics Nice If You Have: • Experience with the federal procurement and proposal process • Knowledge of Medicare's rules for ambulance organizations and how Medicare sets rates for ambulance services • Ability to display a record of peer-reviewed publications related to Medicare ground ambulance policy, quality, or operations • Ability to develop training plans, materials, and sessions to ensure data submitters have adequate instructions on how to use a data collection system interface • Ability to advise teams providing technical assistance to data submitters on how to respond to questions about complex cost reporting • Ability to review user testing plans and contribute to UAT to ensure data collection processes and tools will deliver high-quality data to end users • Ability to provide content and final review of help desk standard responses, and review and occasionally provide input to complex inquiries • Doctorate degree in Public Policy, Public Health, Economics, Data Science a related field Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $112,800.00 to $257,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Work Model Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. • If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility. • If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law. Not ready to apply? Join our Talent Community and sign up for job alerts.
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