Mid-level Jobs in Kenya

411 jobs found

IQVIA

Senior Biostatistician - Global BIOS (Permanent Homebased)

Nairobi

Kenya

Closed for applications
KCB Group

Manager, Product Development and Commercialization

Nairobi

Kenya

Closed for applications
Zetech University

Tutorial Fellow - Economics

Nairobi

Kenya

Closed for applications
KCB Group

Manager, Product Design

Nairobi

Kenya

Closed for applications
Masinde Muliro University

Associate Professor

Nairobi

Kenya

Closed for applications
Africa Nazarene University

Associate Professor - Computer Science

Nairobi

Kenya

Closed for applications
Mwananchi Credit Limited

Logbook Team Leader- Mombasa branch

Mombasa

Kenya

Closed for applications
G4S Kenya Ltd

Human Resource Officer -Western Region

Nairobi

Kenya

Closed for applications
Pigeon Baby Lab Kenya Ltd

Customer Support & Operations Assistant

Nairobi

Kenya

Closed for applications

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Rainforest Alliance

Customer Operations Process & UAT Officer

Nairobi

Kenya

Closed for applications

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IQVIA

Health care + 1 more

Senior Biostatistician - Global BIOS (Permanent Homebased)

Closed for applications
Job details

Contract Type

Description


  • As a Senior Biostatistician, you will be given access to cutting-edge, in-house technology and opportunities to work on global projects across a variety of therapeutic areas.
  • You will provide statistical consulting and technical support as it relates to the design, statistical analysis, and regulatory submissions of clinical trial studies.
  • Acting as a statistical team lead for single, complex studies or groups of studies, you will manage the scope of work and budget, providing revenue and resource forecasts, coupled with preparing proposal text and attending bid defense meetings.
  • You will also collaborate with medical and programming staff to produce interim reports and final reports, allowing a comprehensive understanding and interpretation of the clinical trial data and outcome.

Requirements:

  • BSc or MSc degree in Biostatistics or related field and between 4 - 6 years’ relevant experience
  • Familiarity with moderately complex statistical methods that apply to applicable clinical trials
  • Good working knowledge of SAS and CDISC SDTM and ADaM
  • Ability to effectively manage multiple tasks and project, ability to communicate and explain statistics


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