Principal IT Program Manager (Remote eligible)

Position Description :

Mathematica is searching for professionals with experience designing and delivering real-world data analytics. This individual will lead the development of economic and statistical models using administrative claims and other data sources.

In particular, we are looking for individuals with Medicare Part D expertise who can apply data analytics to support current and emerging work on prescription drug pricing and policy, with a particular focus on analyzing and monitoring pharmaceutical access, efficacy, effectiveness, cost, and innovation within the Medicare Part D program and supporting the development of policies that improve beneficiaries’ experiences with Part D.

Duties of the position :

• Participate actively and thoughtfully in multidisciplinary teams, drawing on your past experience with Medicare, epidemiological and health services research methodology, pharmacoeconomics outcomes research, and decision sciences
• Design, lead and execute analytic plans that include statistical analyses and modeling of drug treatment exposure on healthcare outcomes using Medicare claims data (including Part D data)
• Bring creative ideas to the development of proposals for new projects
• Author project reports, memos, technical assistance tools, issue briefs, and webinar presentations
• Contribute to the growth, expertise, and institutional knowledge of staff working in the Medicare policy and prescription drug areas

Position Requirements :

• A Researcher-level candidate should bring 4-8 years of experience working in health policy, health research or real-world analytics, with a substantial portion of that time dedicated to Medicare Part D and / or prescription drug research
• Masters or doctoral degree or equivalent experience in data analytics, pharmacoeconomics, pharmacoepidemiology, public health, public policy, economics, behavioral or social sciences, or other relevant disciplines
• Experience conducting comparative effectiveness and cost effectiveness analyses
• Experience developing budget impact models
• Experience reviewing and summarizing clinical evidence of drug efficacy and effectiveness
• Experience conducting studies of cost from the patient, payer or societal perspectives, including synthesizing data from claims and published literature.
• Experience conducting analyses of Medicare Part D and / or drug manufacturer data using advanced statistical techniques such as propensity score matching / modeling, regression modeling techniques, mixed models, and survival analysis
• Strong foundation in quantitative methods and a broad understanding of health policy issues
• Excellent written and oral communication skills, including an ability to explain observations and findings to diverse stakeholder audiences including program administrators and policymakers
• Demonstrated ability to coordinate the work of multidisciplinary teams. Experience being accountable for delivering on on-going activities and working independently to solve complex problems.
• Strong organizational skills and high level of attention to detail; flexibility to lead and manage multiple priorities, sometimes simultaneously, under deadlines

To apply, please submit a cover letter, resume, and salary expectations at the time of your application.

Available Locations : Washington, DC; Princeton, NJ; Chicago, IL; Oakland, CA; Remote

This position offers an anticipated annual base salary of $100,000 - $130,000.

This position is eligible for a discretionary bonus based on company and individual performance.

Staff in our Health unit will eventually work with our largest client, Centers for Medicaid & Medicare Services (CMS). Most staff working on CMS contracts will be required to complete a successful background investigation including the Questionnaire for Public Trust Position SF-85.

Staff that are unable to successfully undergo the background investigation will need to be able to obtain work outside CMS.

Staff will work with their supervisor to get re-staffed, however if they are unable to do so it may result in employment termination due to lack of work.