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FHI 360 Biostatistics Specialist Jobs Kenya 2026 – NGO Jobs in Kenya

Apply for FHI 360 Biostatistics Specialist Jobs Kenya (2026). Explore latest NGO jobs in Kenya and apply before the deadline for this FHI 360 career opportunity. Interested candidates are encouraged to submit their applications before the closing date of Not Specified, 2026. Applicants should ensure that they include an updated CV along with all relevant supporting documents when applying. To stay informed about the latest NGO jobs in Kenya vacancies and career updates from FHI 360 and other organizations, regularly visit https://study2c.org/ for trusted and timely job notifications.

FHI 360 Biostatistics Specialist Jobs Kenya

Apply for FHI 360 Biostatistics Specialist Jobs Kenya 2026 | FHI 360 Careers

Accountabilities:

  • Using specification documents, write statistical analysis programs using SAS or other statistical software to generate or validate analysis data sets and tables, figures, listings (TFL) for statistical reports.
  • As validator, investigates source of discrepancies in data and/or program code; reviews completed TFL for accuracy, including textual material (titles, headings, footnotes, etc.).
  • Write and maintain accurate program documentation, and generate TFL shells from existing macro or other sources.
  • Develop analysis data set and TFL specifications by modifying existing specs from similar studies or developing from data collection forms.
  • Write analysis programs in SAS or other software.
  • Design and generate TFL shells and analysis data set specifications, using protocol, statistical analysis plan, or other study materials.
  • Carry out intermediate level statistical analysis, and assess validity of analysis assumptions.
  • Help draft statistical sections of study reports.
  • Review study reports and manuscripts for accuracy of reporting and inference.
  • Work independently on unblinded interim analyses.
  •  As lead statistician, manage the accurate and timely delivery of statistical services.

Applied Knowledge & Skills:

  • Solid working knowledge of intermediate statistical methods for observational and randomized studies.
  • Intermediate knowledge of statistical software packages, particularly SAS/BASE, macro, and data-step programming.
  • Solid understanding of scientific and ethics principles in research study design and research analysis, including principles of randomization.
  • Solid understanding of special requirements pertaining to unblinded interim analysis.
  • Working knowledge of industry best practices and regulatory requirements pertaining to statistical analysis and analysis programming. ● Ability to show initiative, good judgment, and resourcefulness.

Problem Solving & Impact:

  • Transforms broadly described concepts into detailed and accurate operational instructions.
  • Uses logic and understanding of scientific reporting to make appropriate decisions regarding data handling
  • Works on problems requiring analysis and interpretation of data
  • Translates previously learned skills to new context with minimal direction.

Supervision Given/Received:

  • Reports to a more senior statistician and/or supervisor on variances and status.
  • Works under very general guidance from manager or more senior statisticians.
  • With minimal supervision, manages a moderate to high volume work flow.
  • Respond to most inquiries independently and follows up on requests efficiently.
  • Uses judgment to execute duties and responsibilities.
  • As lead statistician, may review the work of junior staff on specific tasks but does not have general supervisory responsibilities.

Education:

  • Masters’ degree (or international equivalent) in statistics, biostatistics, bioinformatics or similar curriculum.

Experience:

  • Typically requires 5-8 years’ relevant work experience in statistical analysis of research studies
  • Demonstrated growth in the application of basic skills (e.g. planning and conducting analysis)
  • Demonstrated skills in multiple statistical areas.
  • Excellent interpersonal communication skills, verbal and written English.
  •  Experience in statistical aspects of study design.

Typical Physical Demands:

  • Typical office environment.
  • Ability to spend long hours looking at computer screen and doing repetitive work on a keyboard.
  • Ability to sit and stand for extended periods of time. ● Ability to lift/move up to 5 lbs.

Technology to be Used:

  • Personal Computer/Laptop, Microsoft applications (i.e., Office 365, SharePoint, Skype/Zoom/Teams), cell phone/mobile technology, and standard office equipment.

Travel Requirements:

  • Less than 10%

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