Share Publication date 2 September 2025 Location Mechelen Country Belgium Workplace type Hybrid Travel percentage 0% Department R&D - Bio IT Function type Full-time Contract type Employee Experience required
1. Experience in computational biology
2. General basic knowledge of SW Development Lifecycle : planning, requirements, design, implementation, verification.
3. Basic knowledge of : Scripting (LUA, Python); Data analysis; Mathematical programming (R); Data visualisation (Spotfire is a plus); Statistics; Machine Learning (classification, regression, ...); Deep Learning; SQL query; non-relational databases (Big data); Molecular biology; Science skills (Electronics, software, mechanics, chemistry, physics, optics, thermodynamics, fluids).
4. Basic knowledge in IBM Synergy & Change, git, Team Foundation Server (TFS), Azure Development Server (ADS)
Education
5. Bachelor or Master in Bioinformatics or other life science discipline or equivalent by training and/or experience;
The purpose of the Data Scientist is to
6. support the Biocartis organisation by performing data analysis that is needed for product development (assays, instruments, manufacturing line), QC release and on-market support;
7. support assay development teams by developing decision trees that will be integrated into the assay specific software;
8. support assay development teams (internal and partner) with assay specific software develoment and writing;
9. support the assay development teams with respect to scientific software tools and data management.
Accountabilities
10. Develops tools and methods to facilitate analysis of the data generated during: Assay Development Cartridge production (including raw materials and semi-finished products) Instrument production Field usage
11. Develops the decision tree that will be integrated in the assay specific software;
12. Writes assay specific software for our Idylla platform (LUA scripting, xml) in support of new assay development requirements of R&D and IVD. This includes definition of methods and data treatment algorithms and documentation.
13. Performs data mining tasks, statistical analysis and assist other project team members with these tasks;
14. Works as a member of a team, is responsible for organising own time and resources in an optimal fashion. Prioritizes assigned projects and manages time accordingly. Is able to handle more than one project simultaneously;
15. Provides planning input and estimations for their work to support the assay PM (project planning), functional lead and Bio IT manager (resource planning).
Profile requirements
16. A Bachelor or a Master in Bioinformatics or other life science discipline or equivalent through experience and/or training;
17. Experience in computational biology;
18. General basic knowledge of SW Development Lifecycle : planning, requirements, design, implementation, verification.
19. Basic knowledge of : Scripting (LUA, Python); Data analysis; Mathematical programming (R); Data visualisation (Spotfire is a plus); Statistics; Machine Learning (classification, regression, ...); Deep Learning; SQL query; non-relational databases (Big data); Molecular biology; Science skills (Electronics, software, mechanics, chemistry, physics, optics, thermodynamics, fluids).
20. Basic knowledge in IBM Synergy & Change, git, Team Foundation Server (TFS), Azure Development Server (ADS)
21. Time management;
22. Problem identification;
23. Problem analysis;
24. Independency;
25. Analytical thinking;
26. Flexibility;
27. Has good technical writing skills;
28. Cross-functional working and well-developed interpersonal skills;
29. Eagerness to learn/assimilate novel concepts;
30. Strong communication skills;
31. Demonstrate good oral presentations skills;
32. Thrives in a fast-paced and changing environment;
33. Fluent in English both written and spoken, knowledge of Dutch is a plus.
Our offering
We offer you a challenging job in an exciting environment, working for top entrepreneurs in the biotech industry. You can be part of a very dynamic, young and growing team in a highly innovative environment. You will have freedom to shape your work and shape your job. Your input is highly appreciated.
Of course we offer you a fitting compensation package with various benefits which includes a Flexible Income Plan.
Our hybrid work regime offers flexibility for a better Work/Life balance.