Biostatistics Specialist NGO Job FHI360

  • Kenya
  • Permanent
  • Full-time
  • 7 days ago
  • Apply easily
Biostatistics Specialist NGO Job FHI360Candidates Experience With Us + Latest UpdatesPosted on April 8, 2026Posted on March 24, 2026Posted on March 9, 2026Posted on February 4, 2026Posted on January 22, 2026Personalized Support for Your SuccessUpcoming Trainings & EventsPosted on March 26, 2026Posted on March 24, 2026Biostatistics Specialist NGO Job FHI360IT Jobs. FHI360 JobsAccountabilities:
  • 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.

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