Position: Research assistant (2)
The Smithsonian’s Global Health Program (GHP), are offering an opportunity for two research assistants to join a biosurveillance research project called REDI-NET (Remote Emerging Disease Intelligence Network).
This position will be based at Mpala Research Centre. The research assistants will assist in sample collection and minor sample processing activities for the REDI-NET project, which is developing a pipeline for near real- time biosurveillance for zoonotic diseases at human-livestock-wildlife interfaces. This is a full-time, one-year contract appointment.
Mpala Research Centre is located on the Laikipia Plateau in north central Kenya, just north of the Equator, northwest of Mt. Kenya. Mpala covers 48,000 acres of savannah and dry woodland habitats and is bordered by Ewaso Ngiro and the Ewaso Narok rivers. Mpala land hosts Mpala Ranch and Mpala Research Centre.
- Assist in field collection of samples at water holes on 10 conservancies/ranches in Laikipia County and related environmental data collection.
- Assist in setting up transects for tick drags and camera trap deployment.
- Planning for field work (ensuring sampling consumables are packed, labelling of sampling tubes e.t.c)
- Assist in minor sample processing e.g. identifying ticks and leeches.
- Assist in camera trap data collation and transfer.
- Assist in organizing freezers.
- Ensure field equipment is in good working order.
- Perform job-related duties as assigned.
Required skills and qualifications
- Diploma or O level certificate holders are encouraged to apply.
- 2-3 years fieldwork experience required.
- Fluent in Swahili and English.
- Knowledge of Laikipia landscape.
- Proficiency with Microsoft Office software (e.g. Word, Excel)
- Valid driver’s license and demonstrated driving skills.
- Basic knowledge in use of personal protective equipment.
- Previous experience setting up camera traps.
- Previous experience collecting leeches and environmental ticks including setting up transects.
- Knowledge and previous experience in tick identification.
- Previous experience using mobile field forms for data entry, with detailed attention to field protocols outlining collection of metadata needed for the project.
To apply for this position, please send a single pdf attachment with the subject Remote Emerging Disease Intelligence Network to email@example.com containing:
- A brief introduction of yourself (up to 300 words), stating why you would be an excellent Research assistant for the Remote Emerging Disease Intelligence Network.
- Curriculum Vitae (C.V).
- Diploma or KCSE Certificates.
- Valid driver’s license.
Please send your applications on or before 25th June 2021. Only shortlisted candidates will be contacted.