description du poste

For one of our clients, a pharma company located in the Walloon Brabant, we are looking for an experienced Data Scientist with a background in (bio)chemical engineering, to come on board and join their Drug Substance Innovation Centre.

This position is an hybrid role (min.

2 days/week on site at client's location).

Job Description The Data Scientist integrates and analyses complex, high dimensional data sets to extract biological knowledge relevant for R&D.

This role ensures advanced data analytics and bioinformatics deliverables for R&D projects are at the top of research and industry standards with respect to scientific excellence, quality and timelines.

Responsibilities Bioinformatics/data analytics activities for R&D; Data and knowledge integration for hypothesis generation; Data modelling for innovative assays, high-dimensional readouts and microbial genomics; Development of tailored systems and analytical models for exploitative analytics of pre-clinical, clinical, and epidemiological data; Development of analysis pipelines using combinations of heterogeneous, high dimensional datasets and tools; Advise on study design, readout selection and data formats, data analysis strategies; Preparation and publication of scientific papers and congress reports.

Requirements MS in Data and Computer Sciences, Complex Systems, Mathematics and Physics, Biological and Systems Engineering, Bioinformatics, Computational Life Sciences or equivalent with a first experience in the biopharma industry or a Ph D in the field of Data Science/(bio)chemical engineering.

Fluent in English Experience in using Python and Pandas.

Good understanding of mass balances and metabolic fluxes.

Experience in working with large set of data.

Demonstrated proficiency / publication record in one or more of the following areas: computational and molecular epidemiology; bio-informatics and genomics; systems vaccinology and immuno-informatics; data mining and machine learning; computational/dynamic modelling; high performance scientific computing infrastructures Good programming, data analytics and modelling skills Good business understanding of the Pharmaceutical industry Good knowledge of vendors and state-of-the-art solutions for Data Science and Digital Innovation