Pre- Doctoral Fellow – Economic Evaluation Focus

Kamuzu University of Health Sciences

VACANCY ANNOUNCEMENT 

Program Summary  

The Learning Centre for Quality Management (LCQM) is a Centre of Excellence at Kamuzu  University of Health Sciences (KUHeS). As a regional hub for excellence, the LCQM is dedicated  to strengthening healthcare systems across Southern Africa. With a focus on enhancing the  quality of healthcare delivery, the Centre promotes evidence-based practices through  capacity building, research, and knowledge management.

Collaborating with local and international partners, the LCQM fosters a sustainable, people centred approach to healthcare, addressing critical challenges within health systems and  driving impactful solutions across the region.

With funding from the Bill & Melinda Gates Foundation, the LCQM is conducting research to  evaluate the integration of health screening and chronic care services (HIV, NCDs, Mental  Health, TB), alongside Maternal, Newborn, and Child Health (MNCH) services. This pilot  initiative is being implemented in selected facilities in Rumphi and Nkhotakota by the Ministry  of Health and its partners.

To achieve these, LQCM Project is inviting suitably and qualified candidates to fill the  following vacant positions:

Pre- Doctoral Fellow – Economic Evaluation Focus (1 Position). 

Department : Learning Centre Research Unit

Responsible to : Principal Investigator

Type of contract : 2 year-fixed contracts

Location : Rumphi or Nkhotakota

Role Overview: 

The Pre-Doctoral Fellow for Cost-Effectiveness Analysis will lead economic evaluations of the  integration initiative. The Fellow will gain hands-on experience in cost-effectiveness analysis,  including decision modeling, and receive on-the-job training and access to specialized short  courses to deepen their expertise.

Key Responsibilities: 

  • Develop frameworks for cost-effectiveness analysis, incorporating decision analytic  modeling (e.g., Markov models, decision trees).
  • Collect, clean, and analyze cost and outcome data from health facilities. • Conduct sensitivity analyses to assess the robustness of findings.
  • Collaborate with interdisciplinary teams to generate actionable insights for  policymakers.
  • Draft high-quality manuscripts and contribute to the dissemination of findings through  reports and policy briefs.

Job Requirements: 

  • Education: MSc in Economics, Health Economics, Statistics, or a closely related field. • Technical Skills: Proficiency in programming and statistical software such as Stata, R,  or Python; familiarity with economic modeling tools is an advantage.
  • Experience: Prior experience in economic evaluations, cost-effectiveness analysis, or  health policy research is desirable but not required.
  • Core Competencies and abilities: 

o Strong analytical and problem-solving skills.

o Effective communication skills to engage with diverse stakeholders. o Proven ability to collaborate effectively within multidisciplinary teams. o Ability to handle multiple tasks and deliver on time in a dynamic work  environment.

o High degree of reliability and accountability in producing high-quality work. • Flexibility: Willingness to spend a substantial portion of the contract period at Rumphi  or Nkhotakota districts, engaging closely with local teams and stakeholders.

Application Procedure 

Interested candidates who meet the above requirements should send their applications  including a cover letter, copies of relevant certificates and CV with names, emails, and  contact of professional referees to: 

The Registrar 

Kamuzu University of Health Sciences,

Mahatma Gandhi Road Campus,

P/Bag 360,

Chichiri,

Blantyre 3.

Or email to: recruitment@kuhes.ac.mw

Indicate position applied for on the envelope for hard copy applications and indicate the  same in the subject line of your email for electronic submissions. Applications should reach  the Registrar not later than 21st January 2025. 

Only shortlisted candidates will be contacted. Reference check shall be conducted to  successful candidates.