Mid-level Health care, medical Jobs in Kenya

7 jobs found

IQVIA

Senior Biostatistician

Nairobi

Kenya

Gertrude's Children's Hospital

Full Stack Developer

Nairobi

Kenya

Aga Khan Hospitals

Clinical Nurse , Outreach Clinic T-mall

Nairobi

Kenya

Aga Khan Hospitals

Clinical Nurse, Outreach Clinic Ruiru

Nairobi

Kenya

Avenue Healthcare

Executive Housekeeper

Nairobi

Kenya

Apeiro Kenya

Solutions Architect

Nairobi

Kenya

Oasis Healthcare Group Limited

Administrator

Nairobi

Kenya

Tenwek Hospital

Manager Strategy & Projects

Nairobi

Kenya

Closed for applications
Aga Khan Hospitals

Assistant Manager, Africa Fingers, Brain and Mind Institute

Nairobi

Kenya

Closed for applications

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Aga Khan Hospitals

Assistant Manager, BRIDGE Africa, Brain and Mind Institute

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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