Biostatistician 2

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ICON plc is a world-leading healthcare intelligence and clinical research organisation. From molecule to medicine, we advance clinical research providing outsourced services to pharmaceutical, biotechnology, medical device and government and public health organisations.

With our patients at the centre of all that we do, we help to accelerate the development of drugs and devices that save lives and improve quality of life.

Our people are our greatest strength, are at the core of our culture, and the driving force behind our success. ICON people have a mission to succeed and a passion that ensures what we do, we do well.

Qualifications

Qualifications:
  • MS degree in Statistics or Biostatistics
  • 3+ years of biostatistical experience
  • Awareness of multiple statistical and therapeutic areas, the drug development process, SAS procedures, and good programming practices
  • Ability to plan, implement, and monitor the statistical processes for a clinical study
  • Good written and oral communication skills with demonstrated leadership ability
ICON is an EEO/AA employer and is committed to providing opportunities to minorities, women, veterans and individuals with disabilities.

Responsibilities

General Summary Plays a functional lead role in the design, analysis, and reporting of clinical studies. Writes statistical analysis plans, performs statistical analyses, contributes to and reviews study reports, and interacts with other study team members and clients on study set up and conduct, including timelines and financial oversight. Primary Responsibilities
  • Applies knowledge of statistical methodology to ensure proper implementation of clinical studies.
  • Provides statistical oversight across the whole clinical study. Develops statistical analysis plans and reporting specifications for clinical studies.
  • Contributes to clinical study protocols and clinical study reports. Reviews reports and underpins the results with statistical expertise.
  • Accountable for the quality and delivery of the table, figure, and listing (TFL) packages.
  • Analyzes and interprets results from clinical studies using sound statistical methodology.


United States-Remote