Financial Data Analyst – Health program cost and impact modeling
Location: Bellevue, WA, USA
Date Published: June 16, 2016
The Institute for Disease Modeling (IDM) team is composed of research scientists and software professionals who focus on creating powerful and innovative disease modeling and data analysis tools to help researchers and policy makers understand diseases, their causes, the way they spread, and the best types of interventions to use for the particular situation faced. IDM partners with selected universities, NGOs, government ministries, and other research and public health institutions focused on researching new ways to understand and combat diseases both locally and globally.
We seek a full-time Financial Data Analyst to work as part of the IDM analysis and model usage center and to gather, analyze, and model financial and cost data from disease control programs, epidemiological studies, and eradication campaign efforts. The financial data analyst will conduct research to gather and analyze data related to health interventions and programs, and on drugs, vaccines, and medical devices. The analyst will identify important features in the data (trends, anomalies, patterns) through data mining, visualization, and analytics. They will also build models for the cost of proposed health interventions and programs based on their findings. The analyst will further inform and refine their models by consulting the scientific literature, and working closely with modelers, programmers, and statisticians on the team. The analyst will write summaries of their results. The analyst will also present to key stakeholders, at conferences, and assist in the preparation research articles.
The IDM team architects advanced models of disease transmission, develops computational tools to inform global disease eradication policy, conducts innovative analysis of epidemiologically- and policy-relevant data (programmatic data, financial data, clinical trials data, and cluster surveys data), and identifies epidemiologically critical knowledge gaps. As part of our work, we routinely collaborate with groups at the World Health Organization, the Center for Disease Control, PATH, the Bill and Melinda Gates Foundation, ministries of health in the developing world, as well as universities and research institutes.
Joining our group provides unique opportunities to interact with global-health policymakers, to collaborate with world-class research laboratories and non-profit organizations, and to contribute to global and national disease-eradication strategies.
- Gathers data from public sources about the cost of health interventions, drugs, vaccines, and medical devices in countries of interest
- Analyzes financial data (e.g., public cost databases, budgets, general ledgers) to identify relevant features, e.g., trends in time, by region, anomalies, and correlations between important quantities
- Models the cost of a health intervention based on data gathered and related financial analyses.
- Reviews the scientific literature on cost-effectiveness of health interventions, uses past results to inform financial modeling work
- Works closely with the modelers, programmers, and statisticians on the team to refine the models and use them to conduct sensitivity analyses, explore tradeoffs among possible interventions, and optimize eradication plans for time, cost, or other factors.
- Write summaries of his results to be used in policy recommendations, white papers, and scientific publications
- Assists in the preparation of research articles and conference presentations communicating the project and its results to the scientific community.
Key Qualifications and Required Skills:
- Masters in a quantitative field (e.g. Applied Mathematics, Statistics, Finance, Accounting) or MBA
- Ability to read research articles and financial publications.
- Attention to detail and high standard for quality of work product
- Must be a clear and effective communicator
- Work extended hours to meet a deadline, and a demonstrated ability to work productively as part of a small team.
- Advanced proficiency with Excel, and ability to connect and query a database (e.g., Access, SQL)
- Proficiency in at least one data-analysis or scripting language (e.g. MATLAB, python, R)
- Knowledge of issues of public health in developing world settings is a plus
- Knowledge of global health finance or development finance is a plus
- Experience working with a software development team is a plus
- Having published articles in peer-reviewed scientific journals is a plus.
- Fluency in French, Spanish, or Portuguese is a plus
We are an equal opportunity employer