Position Description:
Mathematica applies expertise at the intersection of data, methods, policy, and practice to improve well-being around the world. We collaborate closely with public- and private-sector partners to translate big questions into deep insights that improve programs, refine strategies, and enhance understanding. Our work yields actionable information to guide decisions in wide-ranging policy areas, from health, education, early childhood, and family support to nutrition, employment, disability, and international development. Mathematica offers our employees competitive salaries, and a comprehensive benefits package, as well as the advantages of being 100 percent employee owned. As an employee stock owner, you will experience financial benefits of ESOP holdings that have increased in tandem with the company’s growth and financial strength. You will also be part of an independent, employee-owned firm that is able to define and further our mission, enhance our quality and accountability, and steadily grow our financial strength. Learn more about our benefits here: https://www.mathematica.org/career-opportunities/benefits-at-a-glance
At Mathematica, we take pride in our commitment to diversity. Building an inclusive culture that draws on the individual strengths of employees from different ethnic backgrounds, cultures, lifestyles, abilities, and experience is key to our success.
We are seeking an intellectually curious Data Analytics Developer in any of our locations who is passionate about using big data to answer research questions that influence decision making in U.S. health care policy. The ideal candidate will work in languages such as Python and SQL. Individuals with an interest in confronting the challenges of working with large, complex data sets, an interest in data manipulation and analysis, and a desire to become a subject matter expert in health care data are strongly encouraged to apply.
Responsibilities:
- Working with large secondary data sources such as Medicare and Medicaid administrative claims data and survey data to effectively answer research questions about health care policy
- Providing creative and best practice solutions for data processing optimization, commonly on cloud computing platforms
- Ensuring data quality through all stages of data processing with rigorous quality control
- Iteratively informing requirements and specifications, which will include articulating findings and working with researchers to adjust specifications and code as interim results are found
Position Requirements:
Qualifications:
- Programming experience using Python, SQL, SAS, R or Stata, or a similar data engineering or statistical language
- Experience performing data pipelining or analytics using cloud computing platforms and services, such as Amazon Web Services (AWS), Google Cloud Platform (GCP), Microsoft Azure, and/or Databricks is strongly preferred
- Strong organizational and communication skills, and the ability to work with others.
- Excellent written and oral communication skills, including an ability to explain technical concepts to a non-technical audience.
- Subject-matter knowledge in healthcare data preferred.
This position offers an anticipated annual base salary range of $75,000 to $100,000. This position may be eligible for a discretionary bonus based on company and individual performance.
To apply, please submit cover letter, resume, location preferences, salary requirements, and code sample via our website. Please include a code sample (or two or three) which best represents your current programming skills, preferably in Python or SQL. If you include a GitHub, please call out the specific samples you want to highlight. If you do not have code available in these preferred languages, please send a code sample in an alternate language.
Various federal agencies with whom we contract require that staff successfully undergo a background investigation or security clearance as a condition of working on the project. If you are assigned to such a project, you will be required to obtain the requisite security clearance.
Available Locations: Washington, DC; Princeton, NJ; Remote
Staff who contribute to Health-related projects or proposals will eventually work with some of our largest clients, including the Centers for Medicaid & Medicare Services (CMS) and other agencies. Most staff working on these contracts will be required to complete a successful background investigation including the Questionnaire for Public Trust Position SF-85 (https://www.opm.gov/forms/pdf_fill/sf85p.pdf). Staff that are unable to successfully undergo the background investigation will need to be able to obtain work outside these contracts. 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.
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