Über David
J’accompagne R&D et industriels pour exploiter des données analytiques complexes. Il a notamment travaillé pour Sanofi et GSK, avec plus de 10 ans d'expérience en chimiométrie et analyse de données multivariées. Je suis spécialisé en PAT, spectroscopies, DoE & QbD, ML, et validation de workflows Python/R.
Französisch
Muttersprachlich oder zweisprachig
Englisch
Verhandlungssicher
Nur remote
Führt Projekte hauptsächlich remote aus
Projekt- und Berufserfahrung
- (R&D SANOFI CMC – Data Sciences - Biologics Statistics)CMC Data ScientistPHARMAZEUTISCHE INDUSTRIESeptember 2020 - Dezember 2025 (5 Jahre und 3 Monate)Vitry-sur-Seine, FrankreichMain responsibilities:• • In charge of the non-clinical statistical analysis for the DS – CMC – BS Team,• • In charge of the writing of statistical reports for the DS – CMC – BS Team. Achievements:• • In charge of the statistical analysis in CMC Biostats for Biologics with JMP, SAS, R and SIMCA,• • In charge of the writing of statistical reports in CMC Biostats for Biologics,• • Support to the group of CMC Biostats for Synthetics,• • In charge of chemometrics activities (Raman models, MVDA (PCA, PLS, SVMR, KNN LWPLS…)) with SIMCA and R,• • In charge of the statistical analysis linked to Raman implementation in CCD with SIMCA and R,• • Member of PAT Roadmap – Mammalian group, of PATAN (group of Sanofi Experts (Internals and contractors)) and of SpectroML (AutoML),• • 5 posters for R&D weeks and 5 posters and 1 oral communication for Chemometrics congress / conferences.
- (UBO)External speakerJanuar 2023 - Heute (3 Jahre und 5 Monate)Brest, FrankreichChemometric applications• • Use of raman spectra for CCD monitoring,• • PLS modelisation of raman spectra,• • ML algorithms applied to raman modelisation,• • PAT (BLM, BEM).
- (R&D GSK vaccines)Mission in NC BiostatisticsPHARMAZEUTISCHE INDUSTRIEMai 2016 - März 2018 (1 Jahr und 10 Monate)Rixensart, BelgienResponsibilities:• • In charge of the non-clinical statistical analysis for the CLS.• • In charge of the writing of statistical report for the CLS. Achievements:• • Set-up, qualification, validation and life-cycle management statistical analysis report of Elisa assays and Neutralization assays,• • SAS Programming of one tool of EWMA advanced follow-up in order to automate the analysis process,• • VBA programming of one tool to have a follow-up of non-clinical CLS team activity from the completed SAR.
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Ausbildung und Abschlüsse
- Master 2 Data Science (Statistics)Université Catholique de Louvain2020Master 2 Data Science (Statistics)
- Training green belt 62016Training green belt 6