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VIE Data Scientist spécialisé(e) en chimie

UCB -
Braine-l'Alleud

Soumettre votre candidature

Détails de l'emploi

Qualifications

Français
Informatique
Doctorat
NumPy
Systèmes de gestion des informations de laboratoire
Anglais
Master
Pandas
Machine learning
Chimie
Data science
Python

Description complète du poste

Make your mark for patients

UCB is an international biopharmaceutical company primarily engaged in the research, development, and commercialization of pharmaceutical and biotechnological products. It specializes in researching therapeutic solutions for patients suffering from severe diseases, treated by specialists, particularly in the fields of the central nervous system (including epilepsy) and inflammation (including allergies).

The Braine-l'Alleud site specializes in chemical synthesis, development, manufacturing, and packaging of pharmaceutical products.

More information at: www.ucb.com

Overall Mission

As part of a VIE program, the successful candidate will join an R&D/Discovery team to contribute to the valorization of more than 15 years of historical chemical reaction data.

This mission is positioned at the intersection of synthetic chemistry, data science, and R&D digitalization, with a direct impact on future laboratory practices.

Phase 1 – Data Structuring and Quality

The initial objective will be to transform a large corpus of heterogeneous data into a reliable, consistent, and exploitable dataset.

The VIE will be responsible for:

Cleaning, curating, and harmonizing datasets (formats, units, nomenclature, missing fields, inconsistencies)
Defining, documenting, and applying data standards tailored to synthetic chemistry (reagents, solvents, operating conditions, performance, yields, etc.)
Implementing quality and completeness indicators to monitor data robustness and evolution
Contributing to data modeling (schemas, ontologies, reference frameworks) to facilitate future use

Phase 2 – Scientific Exploitation and Knowledge Generation

Once the data is structured, the VIE will actively contribute to its analysis to extract actionable insights for chemists:

Performing exploratory analyses to identify:
Optimal reaction conditions for given transformations
Historical statistics (success rates, yields, reproducibility, variability)
Detecting recurring patterns, trends, and key success or failure factors in chemical reactions
Producing analyses, visualizations, reports, and summaries directly usable by chemistry teams
Contributing to the development of data-driven decision-support tools based on historical datasets

Phase 3 – Integration into Modern Systems and Advanced Perspectives

At a later stage, the mission will aim to ensure the sustainability and operational use of the data:

Making datasets compatible with modern systems (ELN, LIMS, internal chemical databases)
Preparing data for advanced research based on chemical structures (annotation, reaction mapping, feature extraction)

If data maturity allows, contributing to:

- Exploration or development of predictive models (Machine Learning / AI)
- Supporting the prediction of reaction conditions, performance, or probability of success

Your Profile

Education:

Master’s degree or early-stage PhD in:

- Chemistry (organic chemistry, medicinal chemistry, materials science, etc.)
- Cheminformatics
- Data science applied to chemistry

Or a hybrid background (chemistry / computer science / data science)

Languages:

Professional level of English required

Technical Skills:

- Solid understanding of synthetic chemistry and chemical reactions
- Experience or strong interest in data handling (data cleaning, structuring, curation) and experimental data analysis
- Programming skills, ideally in Python (pandas, numpy, matplotlib, optionally RDKit)

Interest or basic knowledge in:

- Machine Learning / Data Science
- Cheminformatics and structure-based search

Please note that this program is in partnership with Business France, and we follow the prerequisites required by Business France to carry out a VIE assignment. The main participation prerequisites are as follows:

Be between 18 and 28 years old;
Hold the nationality of a member country of the European Economic Area;
Have not worked or lived in the country where the mission will take place;
Be available to dedicate yourself to the mission full-time;
If you have French nationality or dual nationality, be in compliance with the national service obligations of France (Numéro Identifiant Défense);
Have a clean criminal record.

If you do not meet all these conditions, we will not be able to consider your application.

Soumettre votre candidature

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Je souhaite recevoir la dernière alerte Emploi pour les postes de ce type : data scientist (rebecq quenast)

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