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

  • Waterloo, ON, Canada

Full-time

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Job details

Job type
Full-time
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Posting language
English
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Original job description

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.
More about this job

Responsibilities

Support statistical programming for Real World Evidence projects, contribute to study design and analysis plans, and review study-related documents and database quality. Develop, validate, maintain, and document analysis programs and statistical outputs, including tables and charts, in accordance with standard practices.

Requirements

Requires at least 5 years of SAS programming experience and at least 2 years in Real World Evidence, epidemiology, or health outcomes, including experience with large healthcare databases. Candidates should have advanced SAS skills, knowledge of study design and epidemiological or statistical analysis, strong communication and project management abilities, and a good command of English; R and propensity score matching are advantages.

Skills

  • SAS Programming
  • Real World Evidence
  • Epidemiology
  • Health Outcomes Research
  • Statistical Programming
  • Study Design
  • Statistical Analysis
  • Large Healthcare Databases
  • CPRD
  • IBM MarketScan
  • Propensity Score Matching
  • R
  • Database Quality Evaluation
  • Project Management
  • Communication
  • Team Collaboration

Benefits

  • Career Development Opportunities
  • Access To Technically Exciting Projects
  • Individualized Career Support
  • Continuous Learning And Training
  • Friendly And Inclusive Work Environment

Visa sponsorship

Not detected in the job text

Categories

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

Keywords

  • Real World Evidence
  • SAS
  • R
  • Statistical Programming
  • Epidemiology
  • Health Outcomes
  • Study Design
  • Analysis Plans
  • Observational Studies
  • Epidemiological Endpoints
  • Drug Development
  • Statistical Analysis
  • CPRD
  • IBM MarketScan
  • Healthcare Databases
  • Propensity Score Matching
  • Database Quality
  • Analysis Programs
  • Tables
  • Charts
  • Metadata
  • Project Management
  • Collaborative Teams
  • CRO
  • Pharmaceuticals
  • Biotechnology

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