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Requisition ID:  118150

BESAFE Data Analyst and Modeler

We are seeking a BESAFE Data Analyst and Modeler to support the Burden and Effects of Substandard and Falsified Medicines Exposures (BE SAFE) study which seeks to fill this critical evidence gap by quantifying the impact of SF medicines on maternal and child mortality and estimating quality-adjusted life years (QALYs) lost and potentially gained from eliminating this burden. Generating such evidence is essential for informing national and global policy responses, guiding resource allocation, and strengthening pharmaceutical regulatory systems to protect the most vulnerable populations. Working in close collaboration with the Principal Investigator and co-Investigators, the analyst will lead the development and implementation of modeling frameworks, conduct advanced data analysis, and contribute to the production of high-impact research outputs. The role requires a strong foundation in epidemiological modeling, economic analysis, analytical interpretation and data translation.


Specific Duties & Responsibilities

  • Collaborate with the PI and research team to design and implement modeling strategies to estimate morbidity, mortality, and economic burden attributable to SF medicines.
  • Clean, manage, and analyze large datasets from sources such as Demographic and Health Surveys (DHS), national surveillance systems, WHO databases, and peer-reviewed literature.
  • Apply counterfactual modeling techniques, decision-tree analysis, and cost-effectiveness frameworks to estimate the impact of improved medicine quality.
  • Build and validate models simulating outcomes under various regulatory scenarios and intervention strategies, including improvements in post-marketing surveillance and risk-based inspection.
  • Conduct sub-analyses by country, therapeutic area, and medicine type, including sensitivity and uncertainty analyses.
  • Generate data visualizations, figures, and dashboards to communicate key findings to technical and non-technical audiences.
  • Support manuscript development, technical reports, donor updates, and policy briefs.
  • Document and maintain reproducible workflows and code using version control systems.
  • Contribute to the development of methods for machine learning-based classification of risk factors for SF medicine prevalence (optional based on skill set).
  • Engage with national and international partners to ensure alignment of model assumptions with field realities and regulatory priorities.


Minimum Qualifications
  • Master's Degree in related discipline. Typically require PhD.
  • One-year related experience. Require highly specialized advanced knowledge, education and/or training in a specialized field of study to conduct research.




Preferred Qualifications
  • Master’s Degree or PhD in Public Health.
  • Relevant training in Health Economics or related field.
  • Demonstrated experience in quantitative data analysis, epidemiological or economic modeling, and health systems research.
  • Proficiency with statistical software (e.g., Stata, R, or Python) and data visualization tools.
  • Familiarity with global health datasets such as DHS, IHME, WHO GHO, and regulatory surveillance data.
  • Experience working with counterfactual analysis, burden of disease modeling, or cost-effectiveness studies.
  • Knowledge of medicine quality issues and regulatory systems in low- and middle-income countries is a plus.

 

 

Classified Title: Sr. Research Data Analyst 
Job Posting Title (Working Title): BESAFE Data Analyst and Modeler   
Role/Level/Range: ACRP/04/MD  
Starting Salary Range: $26.82 - $46.92 HRLY (Commensurate w/exp.) 
Employee group: Casual / On Call 
Schedule: Hours Vary; Approximately 20 hours/week 
FLSA Status: Exempt 
Location: Hybrid: On-site 1-2 days a week 
Department name: 10001156-Popltn Fmly and Reproductive Hlth Srvs 
Personnel area: School of Public Health 

 

 

Total Rewards
The referenced base salary range represents the low and high end of Johns Hopkins University’s salary range for this position. Not all candidates will be eligible for the upper end of the salary range. Exact salary will ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, work experience, market conditions, education/training and other qualifications. Johns Hopkins offers a total rewards package that supports our employees' health, life, career and retirement. More information can be found here: https://hr.jhu.edu/benefits-worklife/.

Education and Experience Equivalency
Please refer to the job description above to see which forms of equivalency are permitted for this position. If permitted, equivalencies will follow these guidelines: JHU Equivalency Formula: 30 undergraduate degree credits (semester hours) or 18 graduate degree credits may substitute for one year of experience. Additional related experience may substitute for required education on the same basis. For jobs where equivalency is permitted, up to two years of non-related college course work may be applied towards the total minimum education/experience required for the respective job.

Applicants Completing Studies
Applicants who do not meet the posted requirements but are completing their final academic semester/quarter will be considered eligible for employment and may be asked to provide additional information confirming their academic completion date.

Background Checks
The successful candidate(s) for this position will be subject to a pre-employment background check. Johns Hopkins is committed to hiring individuals with a justice-involved background, consistent with applicable policies and current practice. A prior criminal history does not automatically preclude candidates from employment at Johns Hopkins University. In accordance with applicable law, the university will review, on an individual basis, the date of a candidate's conviction, the nature of the conviction and how the conviction relates to an essential job-related qualification or function.

Diversity and Inclusion
The Johns Hopkins University values diversity, equity and inclusion and advances these through our key strategic framework, the JHU Roadmap on Diversity and Inclusion.

Equal Opportunity Employer
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

EEO is the Law
https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf

Accommodation Information
If you are interested in applying for employment with The Johns Hopkins University and require special assistance or accommodation during any part of the pre-employment process, please contact the Talent Acquisition Office at jhurecruitment@jhu.edu. For TTY users, call via Maryland Relay or dial 711. For more information about workplace accommodations or accessibility at Johns Hopkins University, please visit https://accessibility.jhu.edu/.

Vaccine Requirements
Johns Hopkins University strongly encourages, but no longer requires, at least one dose of the COVID-19 vaccine. The COVID-19 vaccine does not apply to positions located in the State of Florida. We still require all faculty, staff, and students to receive the seasonal flu vaccine. Exceptions to the COVID and flu vaccine requirements may be provided to individuals for religious beliefs or medical reasons. Requests for an exception must be submitted to the JHU vaccination registry. This change does not apply to the School of Medicine (SOM). SOM hires must be fully vaccinated with an FDA COVID-19 vaccination and provide proof of vaccination status. For additional information, applicants for SOM positions should visit https://www.hopkinsmedicine.org/coronavirus/covid-19-vaccine/ and all other JHU applicants should visit https://covidinfo.jhu.edu/health-safety/covid-vaccination-information/.

The following additional provisions may apply, depending upon campus. Your recruiter will advise accordingly.
The pre-employment physical for positions in clinical areas, laboratories, working with research subjects, or involving community contact requires documentation of immune status against Rubella (German measles), Rubeola (Measles), Mumps, Varicella (chickenpox), Hepatitis B and documentation of having received the Tdap (Tetanus, diphtheria, pertussis) vaccination. This may include documentation of having two (2) MMR vaccines; two (2) Varicella vaccines; or antibody status to these diseases from laboratory testing. Blood tests for immunities to these diseases are ordinarily included in the pre-employment physical exam except for those employees who provide results of blood tests or immunization documentation from their own health care providers. Any vaccinations required for these diseases will be given at no cost in our Occupational Health office.
Hybrid: On-site 1-2 days a week

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