- Company: Chemonics International Inc
- Location: Addis Ababa, Addis Ababa, Ethiopia
- State: Addis Ababa Jobs
- Job type: Full-Time
- Job category: Healthcare/Medical Jobs in Ethiopia
Chemonics International seeks experienced professionals for the USAID-funded Global Health Supply Chain – Procurement and Supply Management (GHSC-PSM) project. GHSC-PSM Ethiopia will serve as the primary vehicle through which USAID will procure and furnish health commodities, provide technical assistance to improve the country’s management of the supply chain, and collaborate with key international stakeholders to support global and local health initiatives.
The project is currently seeking qualified short-term consultant who will be conducting complete and quality data entry and analysis works for the national drug information services assessment. S/He is expected to work collaboratively with pharmacy service advisor and clinical pharmacy advisor. Please follow the link below to see the criteria for details:
Data Entry and Analysis Short-Term Consultant for Drug Information Services Assessment
- Bachelor’s Degree in health informatics, statistics, pharmacy, or related fields with 5 and more years of experience in the specified area.
- Advanced degree in Public health, Social Pharmacy, Biostatistics, or related fields
- Skills on common data entry and analysis software such as SPSS, EPInfo, STATA
- Excellent skill in use of Excel spread sheet
- Proven experience in designing and executing applied research
- Preferably took drug information services training
- Excellent interpersonal and communications skills.
- Fluency in English required
- Demonstrated ability in teamwork
How to Apply
To apply, use the following link to submit your application: [email protected]
Please specify the position title as the subject line in your application and submit not later than March 28, 2018.No telephone inquiries, please. Finalists will be contacted.
Chemonics is an equal opportunity employer and does not discriminate in its selection and employment practices on the basis of race, color, religion, sex, national origin, political affiliation, sexual orientation, gender identity, marital status, disability, genetic information, age, membership in an employee organization, or other non-merit factors.