Job Information

Our team is looking to welcome a mature, motivated, mission-driven Epidemiologist to join Khushi Baby’s M&E to support maximization of data driven insights from the CHIP platform.

Responsibilities:

• Identify and spotlight burden of disease and patterns of disease distribution across health verticals
• Develop research hypotheses to explain underlying causes of disease distributions
• Develop study designs, survey instruments, and pre-analysis plans to systematically test research hypotheses through a variety of methods (case-control, retrospective and prospective cohorts, quasi-experimental designs, RCTs, cluster RCTs, stepped-wedge RCTs)
• Identify relevant public and private data sets required for analysis
• Support policy, field, and development teams to ensure accurate and ongoing collection of relevant epidemiological factors and outcomes in application and dashboard
• Conduct analyses required to identify important spatio-temporal factors which explain underlying disease distribution
• Generate visualizations to explain results for burdens of disease, spatial and temporal patterns of disease and driving factors
• Complete and submit academic manuscripts for government and peer-review highlighting research findings
• Liaise and advocate with government officials to share relevant epidemiological findings across health verticals
• Draft technical reports required for funders, collaborators, and other partners
• Represent Khushi Baby at relevant MEL workshops
• Support in recruitment activities of the M&E Unit

Required Skills:

• Completion of an MPH or PHD degree from reputable institution in the field of epidemiology, with relevant coursework / experience in biostatistics, population science, demography, public health, infectious diseases, non-communicable diseases, technical analysis, report writing
• Minimum of five years of professional working experience in the role of an epidemiologist
• Proof of published academic work within the last two years in the field of public health
• Proficiency in R or Python; geospatial analysis software (e.g. ArcGIS, QGIS)
• Proficiency with multivariate linear and logistic regression, time series analyses, survival analyses, principal component and factor analyses, systematic reviews

You’ll stand out with

• Prior experience working with government officials and NHM data sets
• Publications with mixed-methods research
• Prior experience working with mHealth / digital health projects
• Excellence in English writing and communication
• Demonstrated work / experimentation in prompt-engineering for tools like ChatGPT

Remuneration

8-14 LPA, commensurate with skills and experience.

Benefits

• Medical insurance
• Free medical second opinions from CEO
• Flexible vacation scheduling
• Flexible work policies for those menstruating, needing time off for mental health, needing time for grievance of a loved one, religious fasting, etc.
• Monthly field visits, annual retreat
• Make an impact through your daily work

How to apply

To apply for the above position, please send your detailed CV with a writing sample, specifically mentioning the "post applied for" in subject line to [email protected]

Khushi Baby is an equal opportunity employer. We do not discriminate on the basis of gender, religion, caste, creed, age, disability, income-level, or belief system and we strongly encourage applications from those who have overcome hardships in their lives.