Associate - Disease Modelling Specialist
Lead technical work to generate national estimates of Asthma, COPD, and PTLD in Kenya.
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Overview
Lead technical work to generate national estimates of Asthma, COPD, and PTLD in Kenya.
You have:
- A degree or higher in Epidemiology, Biostatistics, Public Health, Mathematical Modelling, Health Metrics, Mathematics, Statistics, Computer Science, Health Economics or related field.
- At least 4 years of experience in disease burden estimation, epidemiological modelling, or quantitative health research.
- Demonstrated experience in using and developing models for estimating prevalence, incidence, or disease burden.
- Strong proficiency in statistical software such as R, Python, or Stata.
- Proven ability to manage and analyse large datasets from multiple sources.
- Experience working with ministries of health or public health institutions in low- or middle-income countries.
- Strong analytical and quantitative skills.
- Excellent written and verbal communication skills, with the ability to simplify technical information for diverse audiences.
- High attention to detail, accuracy, and data quality.
- Ability to work both independently and collaboratively with multidisciplinary teams.
- Strong project management and organizational skills.
- Integrity, professionalism, and commitment to evidence-driven decision-making.
- Familiarity with chronic respiratory diseases, TB, and post-TB lung disease, or NCD surveillance.
- Understanding of Kenya’s health system, TB and NCD programs, and data reporting structures.
- Experience working with WHO or national-level modelling frameworks (e.g., GBD, Spectrum, WHO DisMod).
Potential interview questions
| Describe your experience with disease burden estimation and how it applies to this role. | This question assesses the candidate's relevant background and expertise in disease modelling. | Provide specific examples of past projects where you have estimated disease burden. |
| How would you approach modelling the disease burden of chronic respiratory diseases in Kenya? | This question evaluates analytical thinking and strategic planning abilities. | Pro members can see the explanation. |
| Can you explain a time when you simplified complex data for a non-technical audience? | Pro members can see the explanation. | Pro members can see the explanation. |
| What statistical software are you most proficient in, and how have you used it in your previous work? | Pro members can see the explanation. | Pro members can see the explanation. |
| Discuss your experience collaborating with government health ministries. | Pro members can see the explanation. | Pro members can see the explanation. |
| Describe a challenging data analysis project you managed. What were the hurdles and outcomes? | Pro members can see the explanation. | Pro members can see the explanation. |
| Give an example of how you ensured data quality in a previous role. | Pro members can see the explanation. | Pro members can see the explanation. |
| What strategies would you use for effective stakeholder engagement in this project? | Pro members can see the explanation. | Pro members can see the explanation. |
Added 6 months ago
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Updated 1 month ago
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Source:
clintonhealthaccess.org
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