The Institute for Health Metrics and Evaluation (IHME) is an independent research center at the University of Washington. Its mission is to monitor global health conditions and health systems, as well as to evaluate interventions, initiatives, and reforms. IHME carries out a range of projects within different research areas including: Global Burden of Diseases, Injuries, and Risk Factors; Future Health Scenarios; Costs and Cost Effectiveness; Local Burden of Disease; Resource Tracking; and Impact Evaluations. The aim is to provide policymakers, donors, and researchers with the highest-quality quantitative evidence base to make decisions that achieve better health.
IHME has an exciting opening for a Data Analyst position on the Scientific Publications team. The Scientific Publications team supports the production of scientific papers across all IHME research teams. This position will implement custom analyses, generate tables and figures, fact-check materials, and write custom code to facilitate number-plugging for capstone, country, and topic-specific papers.
This position must develop an understanding of different research needs and analytic functions across multiple projects to best meet team needs. The Data Analyst must be able to independently translate requests into actionable results through interactions with research databases, formulation of displays of results, and development of complex code to be applied to a variety of quantitative data. The position calls for dexterity working with complex databases and the ability to assess, transform, and utilize quantitative data using multiple coding languages (Stata, Python, R, SQL). The individual must then quality control results to ensure that other team members have exactly what they need to incorporate the data and results into scientific papers.
Additionally, this position will work alongside other Data Analysts on complementary projects and will require knowledge and skill sharing and collective problem solving. Overall, the Data Analyst will be a critical member of an agile, dynamic team. This position is contingent on project funding availability. Please note: These positions are open to U.S. Citizens and permanent residents; H1B visa sponsorship is not available.
- Become familiar with substantive areas of expertise to understand the dimensions and uses of health data and the analytic underpinnings of different research streams.
- Work directly with team members to identify the source of data used in models and results, understand the context of the data, and ensure that they are relevant to the analyses themselves.
- Create and document efficient, effective, and replicable methods for developing code, and explaining complex analytic processes.
- Problem-solve computational and analytic challenges by investigating the data, understanding the root questions, and coming up with alternative measurement strategies.
- Implement code solutions in order to answer analytic questions, perform diagnostics on results, and test and assess new methods.
- Maintain, update, and carry out computational processes and statistical modeling
- Execute queries on databases and resolve intricate questions in order to respond to the needs of internal and external stakeholders.
- Bring together data, analytic engines, and data visualizations in one seamless computational process.
- Work closely with team members to design, adapt, and create tables, figures, and other visualizations.
- Provide referencing and other editorial support for publications.
- Query appropriate databases and write custom code for number-plugging.
- Fact check publications against database records and for internal consistency.
- Participate in manuscript development and design of analytical plans.
- Communicate clearly and effectively with team members across the institute.
- Work closely with other team members to assist with relevant tasks, facilitate learning new skills, and to help resolve emerging problems
Bachelor's Degree in social sciences, engineering, computer science or related field plus two years' related experience or equivalent combination of education and experience.
- Demonstrated success in developing code in R, Python, SQL, or other coding language.
- Interest in global health, population health, scientific publications, and/or ways in which quantitative research and data science can be used to create valuable global public goods.
- Demonstrated self-motivation, ability to absorb detailed information, flexibility, and ability to thrive in a fast-paced, energetic, highly creative and entrepreneurial environment.
- Ability to learn new information quickly and to apply analytic skills to better understand complex information in a systematic way.
- Strong quantitative aptitude and fastidious attention to detail.
- Interest in the design of figures and tables to display complex data and concepts.
Conditions of Employment: Weekend and evening work sometimes required.