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Astek Middle EastSource d’offres vérifiée

Real World Evidence – Waterloo, Belgium (F/M)

Offre en anglais

Support statistical programming activities in Real World Evidence, including the development and validation of analysis programs, tables, and charts. Review study concepts, protocols, and analysis plans while ensuring high-quality database evaluation and efficient statistical output.

  • Sur place
  • Waterloo, ON
  • Publié 24 août 2026
  • Postuler avant le 23 sept. 2026
  • 1 poste

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Résumé du poste

What We Will Accomplish Together Alsinova is looking on a regular basis for Real World Evidence Consultants to join our consulting team for clients' projects (from big pharma to small biotech) based in Belgium. Your Mission (should You Decide To Accept It) Your potential challenges will be various, depending on the clients' priorities. The list below gives you examples of our classic activities. Your Daily Activities Will Be 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. Good written and verbal communication skills. Experience in communicating with all levels of personnel across various departments, in domestic and international environments. Demonstrated experience in participating in collaborative work teams at local and global levels. Good project management skills including experience in managing multiple tasks concurrently. Ability to work under pressure and without close supervision. . You 5+ years experience in SAS programming. 2+ years experience in Real World Evidence, Epidemiology, or Health Outcomes environment. 2+ years experience with large health care databases such as Clinical Practice Research Database (CPRD) or IBM MarketScan. Advanced statistical programming skills in SAS to solve complex programming tasks. Good study design and epidemiological/statistical analysis experience, including understanding of drug development, observational and epidemiological endpoints and assessments. Knowledge of matching algorithms such as propensity score matching is a plus. Knowledge of R is a plus. Good command of English, both verbal and written. Good written and verbal communication skills. Experience in communicating with all levels of personnel across various departments, in domestic and international environments. Demonstrated experience in participating in collaborative work teams at local and global levels. Good project management skills including experience in managing multiple tasks concurrently. Ability to work under pressure and without close supervision. . Alsinova – An Astek Company Alsinova is setting new standards for CROs by integrating multidisciplinary expertise with advanced technology. Alsinova offers a complete CRO solution, providing innovative, customised solutions in various life science segments: pharmaceuticals, biotechnology, medical devices, cosmetics, agri-food, veterinary and healthcare institutions. Alsinova is the subsidiary of the Astek Group, a global player in engineering and technology consulting. Since its creation, the Group has based its development on a strong culture of entrepreneurship and innovation, and on the support and skills development of its 10 000 employees who are committed every day to promoting combination of digital technologies and complex systems engineering. Join a Group rapidly developing in France and around the world, with a turnover of 730 M€ in 2025. More on the Group on our websites https://alsinova.com and https://astek.net. Astek is committed to the employment of people with disabilities. Our Benefits Joining Astek means choosing: an experience accelerator, where every assignment is an opportunity to progress access to a multitude of technically exciting projects for our clients as well as internally individualized, local support for a tailored career path continuous learning, thanks to our internal training academy a friendly and inclusive work environment, supported by #TopEmployer2026 certified HR practices Let's move forward.

Ce que vous ferez

Support statistical programming activities in Real World Evidence, including the development and validation of analysis programs, tables, and charts. Review study concepts, protocols, and analysis plans while ensuring high-quality database evaluation and efficient statistical output.

Exigences

Requires over 5 years of SAS programming experience and at least 2 years in Real World Evidence, Epidemiology, or Health Outcomes. Candidates must have experience with large healthcare databases like CPRD or IBM MarketScan and possess strong statistical analysis skills.

Avantages

• Experience Accelerator • Access To Technically Exciting Projects • Individualized Local Support For Career Path • Continuous Learning Via Internal Training Academy • Friendly And Inclusive Work Environment

Compétences indiquées

  • Gestion de projetSouhaitée

Autres compétences pertinentes

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

  • SAS Programming
  • Real World Evidence
  • Epidemiology
  • Health Outcomes
  • Statistical Programming
  • Study Design
  • CPRD
  • IBM MarketScan
  • Propensity Score Matching
  • R
  • Project Management
  • Data Validation
  • Metadata Documentation
  • English Communication
  • Collaborative Teamwork
  • Analysis Planning

Domaines d’emploi

  • Consulting
  • Science & Research
  • Healthcare
  • Data & Analytics
  • Technology

Renseignements supplémentaires

Expérience minimale
5+ ans
Postuler avant le
23 sept. 2026
Langue de l’offre
anglais
Heures de travail
40 heures par semaine
Niveau d’expérience
Mid-Senior level