Statistician, Malaria and Neglected Tropical Diseases
*Please include a cover letter with your resume describing your interest in the position and how you meet the qualifications.
PATH has unparalleled expertise and experience in the development of new tools and strategies for malaria elimination and has the potential to become an acknowledged leader in accelerating efforts towards malaria elimination and global eradication.
The Malaria and Neglected Tropical Diseases program, as a leader in the effort to end malaria illnesses and deaths, refines and develops tools and approaches, supports national programs, and builds evidence and data to empower national governments to pursue malaria elimination.
PATH’s Malaria Portfolio is seeking a full-time statistician with strong experience in experimental and quasi-experimental study design and statistical analysis.
Responsibilities:
Experience in statistical approaches to experimental and quasi-experimental program evaluation, including interrupted time series analysis, preferably for malaria, who would be able to:
- Provide technical guidance and in some cases lead the statistical analysis of malaria intervention and outcomes data
- Provide technical guidance in the design of planned studies involving experimental or quasi-experimental analytical approaches, including interrupted time series and analysis of cluster randomized trials
- Provide guidance in techniques to address challenges with datasets, such as multiple imputation for missing data, addressing data incompleteness
- Advise team members in the choice of statistical packages, review code and recommend diagnostics based on the model
- Run simulation analyses to determine power/sample size and other parameters of interest
- Review analysis results and support the interpretation and writing of results for peer-reviewed publications
- Supervise and mentor junior technical staff members
Required Experience
- Advanced knowledge of biostatistics, study design and power calculations
- Advanced knowledge of time series analysis and regression
- Strong knowledge of statistical software programming with R
- Experience working with international program evaluations that use routine national and publicly available data sources, such as health information management system (HMIS), geospatial, and programmatic coverage data
- Experience with both frequentist and Bayesian approaches to statistical analysis preferred
- Experience with geostatistical analysis preferred
- Ability to work on multiple projects simultaneously and also have the flexibility of working both collaboratively and independently in a multidisciplinary project environment
- Ability to multi-task and effectively prioritize work and projects
- Ability to work as a member of multidisciplinary teams
- Ability to clearly communicate basic statistical concepts to program staff and donors
- Track record of high-quality peer-reviewed publications
- Ability to travel, estimated at 15% of the time (when travel is allowed)
- Must have legal authorization to work in the U.S.
PATH is dedicated to building an inclusive workforce where diversity is valued.
PATH is an equal opportunity employer. Every qualified applicant will be considered for employment. PATH does not discriminate based on race, color, religion, gender, sexual orientation, gender identity, genetic information, age, national origin, marital status, disability status, political ideology, military or protected veteran status, or any other characteristic protected by applicable federal, state, or local law.