RWE Consultant – SAS & Health Outcomes (Belgium)

Alsinova

Waterloo

Sur place

EUR 70 000 - 90 000

Plein temps

14 jours+

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Avantages offerts par ce poste

an experience accelerator
access to diverse projects for clients
tailored career path
continuous learning

Résumé du poste

Alsinova is looking for Real World Evidence Consultants to join our consulting team for clients’ projects based in Belgium. You will work on various activities including supporting statistical programming in RWE, study design input, protocol review, and ensuring efficient production of statistical outputs.

Applicants should have 5+ years in SAS programming, 2+ years in RWE/epidemiology, and experience with large healthcare databases.

Qualifications

  • 5+ years experience in SAS programming.
  • 2+ years experience in Real World Evidence, Epidemiology, or Health Outcomes.
  • 2+ years experience with large health care databases such as CPRD or IBM MarketScan.
  • Advanced SAS programming to solve complex tasks.
  • Good study design and epidemiological/statistical analysis experience.
  • Knowledge of propensity score matching is a plus.
  • Knowledge of R is a plus.

Responsabilités

  • Support Statistical programming activities in Real World Evidence.
  • Provide input on study design and analysis plans where necessary.
  • Review the study concept, protocol design, analysis plans and other study-related documents.
  • Evaluate the quality of the database.
  • Develop, validate, maintain, and document analysis programs, tables, charts and associated metadata following standard working practices.
  • Ensure that statistical outputs are produced in an efficient manner.

Connaissances

SAS programming
Advanced SAS programming

Outils

R

Description du poste

Alsinova is looking for Real World Evidence Consultants to join our consulting team for clients’ projects based in Belgium. You will work on various activities including supporting statistical programming in RWE, study design input, protocol review, and ensuring efficient production of statistical outputs.

Applicants should have 5+ years in SAS programming, 2+ years in RWE/epidemiology, and experience with large healthcare databases.

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