Freelancer profile translated to English.
Back to original languageAbout Mickaël
Statistical Programmer and Data Scientist passionate about the impact of data in medical decision-making.
My journey at Aixial Group (MSD, Servier), Ividata (IQVIA, Novartis), and now as an entrepreneur (DaViZi), has allowed me to develop versatile expertise:
Technical Expertise: In-depth mastery of CDISC standards (SDTM, ADaM, define.xml), SAS and R programming, and R Shiny application development.
Specialized Areas:
RWE & RWD: Real-world data analysis (oncohematology) and development of self-service analytics platforms.
HTA: Support for submissions (AMNOG, GVD) through predictive economic models and treatment comparisons.
Standardization & Validation: Creation of complete submission packages and rigorous validation of outputs.
Added Value: I don't just program; I understand business challenges to deliver robust solutions that meet the needs of R&D, Commercial, and Regulatory teams. I am also a mentor and team coordinator.
Today, I lead DaViZi, where I design web applications dedicated to the visualization and validation of clinical data.
French
Native or bilingual
English
Fluent
Remote only
Primarily works remotely
Experience
- DaViZiChief Executive OfficerJuly 2023 - Today (2 years and 11 months)- Provide DaViZi web service applications+ AI and integrated output generation- Statistical Programmer expertise as independent
- DaViZiStatistical Programming and CDISC Data Standardization for CHU PoitiersJuly 2023 - September 2023 (2 months)- SDTM datasets mapping, Annotated CRF (acrf), Clinical Study Data Reviewer's Guide (cSDRG) and define.xml documentation- ADaM datasets derivation, Analysis Data Reviewer's Guide (ADRG), Analysis Results Metadata (ARM) and define.xml documentation- Following CDISC compliance and pinnacle 21 report- Data review- Creation of Adverse Event outputs- Use Davizi application to validate the outputs- Server creation for collaboration work and production area
- AIXIAL GROUPQuantitative Data Scientist (RWE) at Merck/MSDSeptember 2022 - July 2023 (10 months)+ Provide hands-on RWD analytics support to in-house RWE studies across multiple oncology programs and beyond to meet our Value Evidence and RWE strategic needs + Deliver innovative self-service analytics solutions and tools in our Company's enterprise real-world data and analytics platform (RWDEx) to enable broad business users across our Company's Commercial and R&D to leverage large real-world data and advanced analytics for internal and external decisions + Support strategies regarding RWD, RWE, and digital health by providing strategic input on rapid analytics, predictive modeling, machine learning, artificial intelligence, interactive visualization, etc. Help develop strategic partnerships on RWD assets, analytics, and technology + Effectively communicate novel findings and methodological approaches to internal and external stakeholders + Support ongoing improvements to methods and algorithms that have significant impact on business
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Education
- MasterUniversity of Montpellier2015Biostatistique