Research, academy jobs in Juja, Kenya

1 jobs found

IQVIA

Senior Biostatistician

Nairobi

Kenya

Aga Khan Hospitals

Research Associate, Department of Pathology

Nairobi

Kenya

Closed for applications
Jacaranda Health

Head of Research Projects

Nairobi

Kenya

Closed for applications
Aga Khan Hospitals

Research Assistant Nurse, IHD Office

Nairobi

Kenya

Closed for applications
Aga Khan Hospitals

Lab Technician, IHD Office

Nairobi

Kenya

Closed for applications
Aga Khan Hospitals

Research Associate, Population Health

Nairobi

Kenya

Closed for applications
AIC Kijabe Hospital

Research Officer

Nairobi

Kenya

Closed for applications
Roche

Scientific Operations Lead

Nairobi

Kenya

Closed for applications

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Tenwek Hospital

Research Manager

Nairobi

Kenya

Closed for applications
IQVIA

Health care + 1 more

Senior Biostatistician

Job details

Contract Type

Description

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


Responsibilities
  • 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.


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