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Senior Chemist
Dublin North
Snr QA Specialist
Dublin South
Program Manager
Westmeath
Principal Scientist
Dublin South
Head of Quality
Dublin West
QA Specialist
Dublin West
QA Manager
Meath
Qualified Person
Dublin West
Market Access Manager
Dublin City Centre
Snr Process Engineer
Dublin North
Hospital Sales Specialist
Republic of Ireland
CEO Medical Device Start Up
Republic of Ireland
Technical Sales Engineer
Republic of Ireland
QA Manager Biologics
Dublin West
QA Manager
Dublin West
Microscopy Product Specialist
Republic of Ireland
R&D Engineer
Galway
Consultant
Brian Christensen
Life Science

+353 (0)1 685 47 47
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Biostatistician Career Profile

Biostatistician Jobs

Biostatisticians are mathematics and statistics professionals who study the epidemiology and prevalence of diseases. They assist in the design of clinical research studies and assist other health professionals such as doctors and epidemiologists analyze the results of the studies.
Biostatisticians work with mathematical and statistical formulae to analyze the results of clinical trials and advise other researchers about how to use statistics to design and analyze new studies.

Key Responsibilities


  • Direct development of data collection methods and co-ordinate customized electronic database transmissions
  • Develop statistical analysis plans for simple to complex studies including table shells and, when appropriate, other programming plans
  • Direct and oversee the execution of planned statistical analysis and summarization for simple to complex studies (including tables, figures and data listings) independently
  • Write statistical methods and results sections of reports
  • Review draft reports for consistency and completeness
  • Effectively communicate with colleagues regarding timelines, deliverables, and commitments
  • Communicate effectively with senior statisticians and clinicians within the team
  • Perform general statistical analysis programming

Qualifications / Experience Required


  • Generally biostatisticians will have either (a) a PhD in Statistics / Maths and some industry experience (1 + Years) or a Masters degree in Maths / Statistics and significant industry (5 Years) experience.
  • Proficiency in SAS programming