Institute for International Programs
Johns Hopkins Bloomberg School of Public Health
Research Associate or Assistant Scientist (Full-time)
Dates: Immediate for one year with possibility of extension
Based in Baltimore, MD USA
Working collaboratively with research institutions and government agencies in high-burden countries, Institute for International Programs at the Johns Hopkins Bloomberg School of Public Health (IIP-JHU) is dedicated to improve the evidence base for strong public health programming for maternal, newborn and child health and nutrition programs.
This is a full-time faculty position within IIP under Department of International Health. It is at the level of Research Associate for masters, or Assistant Scientist for doctoral level candidates. S/he will primarily work on two projects. One is the Gates founded IMPROVE project to improve the estimation of causes of mortality among 0-19 year olds globally. And the other is the Global Age Patterns of Under-Five Mortality (GAP-U5M) project (an R01 from NICHD), specifically dealing with sample registration in China.
Job responsibilities include but are not limited to provide assistance and support to the general management and day-to-day research activities of IMPROVE and GAP-U5M for the following six main objectives: 1. to routinely update all-cause and cause-specific under-five mortality estimation; 2. to support the development of innovative methods estimating age- and cause-specific under-five mortality by detailed age groups; 3. to estimate mortality by cause and by 5-year age group among 5-19-year-olds; 4. to understand misclassification between stillbirths and neonatal deaths; 5. to liaison with sample registration system (SRS) in China, and prepare all-cause and cause-specific under-five mortality using SRS data in China; and 6. to support other projects on measuring and improving child survival of the team.
Specific functions include but are not limited to:
- Preparing and managing databases and performing data quality assessment and adjustment for quantitative and occasionally qualitative components of the projects;
- Supporting or leading (if possible) regular and advanced demographic and biostatistical analyses and modeling to produce estimates;
- Managing and conducting systematic reviews to identify and extract data from published and unpublished sources on relevant research topics;
- Participating in writing and preparation of project-related manuscripts, grant applications, reports, and presentations for multiple audiences including donors and funding agencies;
- Assisting general management of the project, including ensuring and tracking progress of various activities and deliverables of the project, facilitating communications between the investigating team and collaborating institutions and individuals, managing graduate (and occasionally undergraduate) research assistants, and scheduling and coordinating meetings among collaborators.
- Masters (for Research Associate) or Doctors (e.g. PhD, for Assistant Scientist) training in biostatistics, epidemiology, demography, public health or related fields with a focus on quantitative methods and at least 3 years of related experience
- Knowledge and experience in quantitative analysis
- Proficiency in at least one statistical package, e.g. STATA, R
- Knowledge or experience with global child survival, all-cause and cause-specific mortality, knowledge of related technical terms, concepts, and major data sources and population surveys in low-and-middle-income countries
- Knowledge in demography
- Excellent oral and written communication and organization skills
- Ability to work independently and as a member of a team, to handle multiple activities and competing priorities, and to deliver on time
- Proficiency in Microsoft office
- Previous experience publishing peer-reviewed articles
- Knowledge or experience in Bayesian analysis
- Knowledge or experience using ArcGIS for data visualization and presentation
- Experience designing, executing and managing comprehensive literature review, proficiency in reference management software (e.g. Endnote)
- Good people skills and a sense of humor
Please email 1) cover letter highlighting your relevant education, experience and skills; 2) a current CV; 3) a sample program file (e.g. .do file from STATA or R script); and 4) a writing sample to Diana Yeung (). Please use the subject line “IMPROVE Research Associate/Assistant Scientist – [your name]”.
Screening will start immediately on a rolling basis. The position will be filled once a suitable candidate is identified, so early application is encouraged.