Guillaume Abgrall
senior statistical programmer at actelion@ Johnson & Johnson
Basel, Basel-city, Switzerland
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Guillaume Abgrall is a highly experienced Lead Statistical Programmer with over 10 years of experience in the pharmaceutical industry. He has a strong background in clinical trials, FDA regulations, and data standards. Guillaume has worked in various therapeutic areas, including oncology, hematology, and pulmonary diseases. He is skilled in programming activities such as metadata, SDTM, and ADaM implementation, as well as e-submissions to FDA. Guillaume is also involved in company initiatives and has hands-on experience in pharma companies. He is flexible, fast, and reactive.
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Emails and Phone Numbers

@hotmail.fr
@novartis.com
@jnj.com
@actelion.com
+1 800328****
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About

Having worked in the pharmaceutical industry for over 10 years, I am a Lead Statistical Programmer with considerable experience of leading programming activities across multiple trials in various therapeutic areas (oncology, hematology and pulmonary diseases). I have broad knowledges in metadata, SDTM and ADaM implementation, e-submissions to FDA, development of macros, and study management. In addition to project assignments, I am involved in company initiatives such as development of tools regarding CDISC standards, and more recently we started to build out data standards and platforms for Digital Health. Hands-on experience in pharma companies as Lead statistical programmer ▫️Very strong knowledge of programming and reporting with SAS and R. Strong knowledge of SQL. ▫️Strong ability to implement the latest CDISC SDTM, ADaM, and Define standards. ▫️Statistics: estimation, testing, analysis of variance, linear and logistic regression, survival analysis and simulation. ▫️Flexible, fast, and reactive.

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Work Experience

New Brunswick, NJ, 08903, US

Hospitals and Health Care

104259
Phone
+1 8003289033
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Guillaume Abgrall's Professional Milestones

  • Senior Statistical Programmer - Contractor (2018-03-01~2020-05-01): Designing and implementing efficient statistical programs to optimize business outcomes and drive high-impact success.
  • Statistical Programmer - Contractor (2013-07-01~2015-06-01): Developed scalable and efficient statistical algorithms to optimize forecasting and analysis of key data.
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Education

Kingston University
Kingston University

Statistics,

Bachelors,

Bachelor Of Science,

Statistics & Computing

1325376000-1356998400
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