Research Assistant
AI summary
Landscape Alliance is hiring a Research Assistant based in Kiambu, Kenya. The role requires a bachelor's degree in forestry, environmental science, natural resource management, or a related field, plus at least five years of field-based research or project implementation experience. The position is on-site, full-time, mid-level, with an estimated salary of KES 80,000–130,000 per month.
- On-site full-time mid-level research role in Kiambu
- Estimated salary KES 80,000–130,000 per month
- Requires bachelor's degree in forestry, environmental science, or related field
- At least 5 years of field-based research or project implementation experience
- Experience with mobile data collection tools such as KoBoToolbox or ODK preferred
AI job guide
Use this guide to check salary signals, requirements, documents, application steps and safety before you apply.
AI salary guide
Source salary availableThe source lists Est. KES 80,000 – 130,000/mo. Confirm the final pay, benefits, contract terms and allowances directly with the employer before accepting an offer.
Can you qualify for this role?
- Required5+ years of relevant experienceThe job post includes a minimum experience signal.
- RequiredEducation or certification mentioned in the postThe captured text mentions education, a diploma, certificate, or licence.
- PreferredPractical evidence in research, fieldwork, data collectionThe tags and summary point to skills connected with this role.
- RequiredAvailability to work in Not specifiedThe vacancy is associated with this location.
- UnclearComfort with the Full-time contract termsConfirm hours, duration, probation and benefits at the original source.
Documents to prepare
- Likely requiredUpdated CV
- Role specificCover letter or short employer message
- OptionalProfessional references
- Role specificAcademic or professional certificates
- VerifyID or passport only after verifying the employer
Application tips for this job
- Place your strongest Research Assistant evidence in the first half of your CV.
- In your cover letter or employer message, connect your experience to Landscape Alliance and the role in Not specified.
- Add concrete examples related to research, fieldwork, data collection, ideally with measurable outcomes or clear responsibilities.
- Follow the instructions from GoKazini; avoid sending documents to unofficial contacts or copied links.
- Confirm the deadline, interview location and employer contact before sharing personal documents.
Source and safety check
- GoKazini
- Original source link available
- Application method is clear
- Deadline not specified
- No major risk signal was detected in the captured text.
Never pay for interviews, shortlisting, medical checks, uniforms, or job placement. Confirm every application at the original source before sharing personal documents. Report suspicious listing.
Interview preparation
- What experience makes you a strong fit for this Research Assistant role in research, fieldwork?
- How have you handled responsibilities similar to those in this job post?
- Are you available to work in Not specified under the listed contract or schedule?
- Prepare examples with clear responsibilities, tools used and measurable outcomes.
- Review the source and research Landscape Alliance before the interview.
Ask what the first priorities will be in the role and how success will be measured.
Similar jobs to consider
Use AI to apply better
After confirming the original source, use Career Assistant to check role fit, tailor your CV and prepare a cover letter or employer message.
Original source description
- Back to all jobs
- LA
- Research Assistant
- Members only
- Kiambu, Kenya
- Est. KES 80,000 – 130,000/mo
- Est.
- On-site
- Full-time
- Mid-level
- Posted
- 2 days ago
- Share
- What you bring
- A bachelor's degree in forestry, Management of Agroecosystems and Environment (MAE), Environmental science, Natural resource management or a related field.
- At least 5 years of
Experience
- in field-based research or project implementation, preferably in food systems, agroforestry, or energy access contexts.
- in primary data collection using both qualitative and quantitative methods.
- Familiarity with mobile data collection tools (e.g. KoBoToolbox, ODK).
- Strong community engagement and facilitation skills.
- Ability to work independently in the field, manage time effectively, and meet deadlines.
- GK