Data Scientist - R&D - Medior [F/M/X]
Vue: 110
Jour de mise à jour: 22-11-2025
Localisation: Wavre Walloon Brabant
Catégorie: IT - Logiciel IT - Matériel / Réseaux Informatique
Industrie:
le contenu du travail
Who are we?
Amaris Consulting is an independent technology consulting firm providing guidance and solutions to businesses. With more than 1,000 clients across the globe, we have been rolling out solutions in major projects for over a decade – this is made possible by an international team of 7,600 people spread across 5 continents and more than 60 countries. Our solutions focus on four different Business Lines: Information System & Digital, Telecom, Life Sciences and Engineering. We’re focused on building and nurturing a top talent community where all our team members can achieve their full potential. Amaris is your steppingstone to cross rivers of change, meet challenges and achieve all your projects with success.At Amaris, we strive to provide our candidates with the best possible recruitment experience. We like to get to know our candidates, challenge them, and be able to give them proper feedback as quickly as possible. Here’s what our recruitment process looks like:
Brief Call: Our process typically begins with a brief virtual/phone conversation to get to know you! The objective? Learn about you, understand your motivations, and make sure we have the right job for you!
Interviews (the average number of interviews is 3 - the number may vary depending on the level of seniority required for the position). During the interviews, you will meet people from our team: your line manager of course, but also other people related to your future role. We will talk in depth about you, your experience, and skills, but also about the position and what will be expected of you. Of course, you will also get to know Amaris: our culture, our roots, our teams, and your career opportunities!
Case study: Depending on the position, we may ask you to take a test. This could be a role play, a technical assessment, a problem-solving scenario, etc.
As you know, every person is different and so is every role in a company. That is why we have to adapt accordingly, and the process may differ slightly at times. However, please know that we always put ourselves in the candidate’s shoes to ensure they have the best possible experience.
We look forward to meeting you!
Job description
The Data Scientist integrates and analyzes complex, high dimensional data sets to extract biological knowledge relevant for Vaccines R&D.
This role ensures advanced data analytics and bioinformatics deliverables for Vaccines R&D projects are at the top of research and industry standards with respect to scientific excellence, quality and timelines.
Primary Tasks & Responsibilities
The Data Scientist coworker integrates and analyzes complex, high dimensional data sets to extract biological knowledge relevant for Vaccines R&D. He/She is able to use and develop state-of-the-art bioinformatics and data analysis tools to perform:
o Bioinformatics/data analytics activities for Vaccines R&D;
o Data and knowledge integration for hypothesis generation;
o Data modeling for innovative assays, high-dimensional readouts and microbial genomics;
o Development of tailored systems and analytical models for exploitative analytics of pre-clinical, clinical, and epidemiological data;
o Development of analysis pipelines using combinations of heterogeneous, high dimensional datasets and tools;
o Advise on study design, readout selection and data formats, data analysis strategies;
o Preparation and publication of scientific papers and congress reports.
- Fosters innovation within DSDI and keep abreast of the new and most recent developments and innovations in the fields relevant for the role.
- Communicates results to internal stakeholders and scientific community, translating complex solutions into simple, understandable and effective messages.
- Demonstrated proficiency / publication record in one or more of the following areas:
o bio-informatics and genomics
o systems vaccinology and immuno-informatics
o data mining and machine learning
o computational / dynamic modeling
o high performance scientific computing infrastructures
- Good programming, data analytics and modeling skills
- Good business understanding of the Pharmaceutical industry
- Good knowledge of vendors and state-of-the-art solutions for Data Science and Digital Innovation
- Good communication skills, ability to simplify complex problems and communicate complex solutions in a simple and effective manner
- Good networking skills and fluent interactions with one or more scientific communities
- Ability to influence performance in a matrix organization through negotiation and communication
Education, Methodology & Certification Requirements
- PhD(preferred) or MS in Data and Computer Sciences, Complex Systems, Mathematics and Physics, Biological and Systems Engineering, Bioinformatics, Computational Life Sciences or equivalent
- Microsoft Windows and Linux
- IT tools computer programming oriented
- Familiar with MS Office package
Language Proficiency Requirements
• English Business • French or Italian will be a plus
Date limite: 06-01-2026
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