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Senior Statistical Programmer FSP

Cytel - EMEA

France

À distance

EUR 50 000 - 80 000

Plein temps

Il y a 3 jours
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Résumé du poste

Cytel - EMEA seeks a Senior Statistical Programmer to work closely with a pharmaceutical client, leveraging advanced SAS programming skills and CDISC standards to support clinical study data. This role offers the opportunity to contribute to innovative patient treatments while working remotely in a flexible environment.

Qualifications

  • At least 6 years of SAS programming experience with clinical trial data.
  • Experience in ad-hoc analysis and publication is a plus.
  • Familiarity with drug development life cycle.

Responsabilités

  • Perform programming of datasets and outputs based on customer requests.
  • Generate and validate ADaM datasets and TLFs.
  • Communicate with internal teams and clients for project specifications.

Connaissances

SAS programming
Data manipulation
Efficacy analysis
Ad-hoc reporting
Analytical skills
Troubleshooting

Formation

Bachelor’s degree in Statistics, Computer Science, Mathematics

Description du poste

JOB DESCRIPTION

Sponsor-dedicated:

Working fully embedded within one of our pharmaceutical clients, with the support of Cytel right behind you, you'll be at the heart of our client's innovation. As a Senior Statistical Programmer (or, depending on your level and experience, Principal Statistical Programmer) you will be dedicated to one of our global pharmaceutical clients; a company that is driving the next generation of patient treatment, where individuals are empowered to work with autonomy and ownership. This is an exciting time to be a part of this new program.

Position Overview:

As a Senior Statistical Programmer, you will leverage your advanced SAS programming skills and proficiency in CDISC standards (ADaM and TFL) to support programming on the basis of clinical study and project data. You will be assigned to our client's programming team with a responsibility for publication analyses, HTA-related data reanalysis, adhoc analyses and other challenging activities. This role can be performed as fully remote.

Our values

  • We believe in applying scientific rigor to reveal the full promise inherent in data.
  • We nurture intellectual curiosity and encourage everyone to approach new challenges with enthusiasm and the desire for discovery.
  • We believe in collaboration and invite a diversity of perspectives, drawing on a variety of talents to create a wealth of possibilities.
  • We prize innovation and seek intelligent solutions using leading-edge technology.


RESPONSIBILITIES

How you will contribute:

  • Performing programming of datasets and outputs based on customer internal requests, using predominantly SAS, in an environment that requires flexibility and independence.
  • Generating and validating ADaM datasets/analysis files, and tables, listings, and figures (TLFs)
  • Production and QC / validation programming
  • Generating complex ad-hoc reports utilizing raw data
  • Applying strong understanding/experience of Efficacy analysis
  • Creating and reviewing related documents
  • Communicating with and/or responding to internal cross-functional teams and client for project specifications, status, issues or inquiries
  • Performing lead duties when called upon
  • Serving as team player, with a willingness to go the extra distance to get results, meet deadlines, etc.
  • Being adaptable and flexible when priorities change


QUALIFICATIONS

Here at Cytel we want our employees to succeed and we enable this success through consistent training, development and support. To be successful in this position you will have:

  • Bachelor’s degree in one of the following fields Statistics, Computer Science, Mathematics, etc.
  • At least 6 years of SAS programming working with clinical trial data in the Pharmaceutical & Biotech industry with a bachelor’s degree or equivalent. At least 6 years of related experience with a master’s degree or above.
  • Experience working as a programmer in less structured setting (adhoc analysis, publication, RWE etc.) is a plus.
  • Strong SAS data manipulation, analysis and reporting skills.
  • Solid experience implementing the latest CDISC ADaM standards.
  • Strong QC / validation skills.
  • Good ad-hoc reporting skills.
  • Proficiency in Efficacy analysis.
  • Familiarity with drug development life cycle and experience with the manipulation, analysis and reporting of clinical trials’ data.
  • Experience supporting neuroscience or immunotherapy projects would be a plus.
  • Excellent analytical & troubleshooting skills.
  • Ability to provide quality output and deliverables, in adherence with challenging timelines.
  • Flexible, independent mindset; self-organized and a good communicator and team player.
  • Ability to work effectively and successfully in a globally dispersed team environment with cross-cultural partners.
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