Maxim Moinat
Scientific Researcher at IMI_EHDEN
Randstad, Netherlands
Summary
🤩
Rockstar🎓
Top SchoolMaxim Moinat is a scientific researcher and data engineer with a decade of experience applying Python and R to large-scale biomedical and observational health datasets, specialising in ETL pipelines to the OMOP Common Data Model. Based at Erasmus MC and active across IMI consortia (EHDEN, PIONEER, EU-PEARL) and OHDSI, he blends hands-on conversion tooling and analytics with product ownership and community leadership—earning an OHDSI "Titan" for standards work. His academic foundation (cum laude degrees in Medical Natural Sciences and Bioinformatics & Systems Biology) underpins strengths in mathematical modelling, -omics, and reproducible research. He routinely translates clinical questions into operational OMOP workflows and trains partners on federated data platforms, enabling multicenter evidence generation. Less obvious: he pairs deep domain knowledge with practical software craft from earlier backend and simulation projects, making him equally comfortable in stochastic modelling code as in large collaborative infrastructure.
10 years of coding experience
8 years of employment as a software developer
Bachelor, Medische Natuurwetenschappen, Cum Laude, Bachelor, Medische Natuurwetenschappen, Cum Laude at Vrije Universiteit AmsterdamMaster, Bioinformatics and Systems Biology, Cum Laude, Master, Bioinformatics and Systems Biology, Cum Laude at Vrije Universiteit Amsterdam (VU Amsterdam)VWO, NG&NT, International Baccalaureate, VWO, NG&NT, International Baccalaureate at Haarlemmermeerlyceum
English, Dutch, German, French
Stackoverflow
21reputation
3kreached
0answers
1question
Github Skills (163)
standardized10
mappings10
wearable-devices10
build-process10
atlas10
katakana10
sports-data10
data-model10
android-application10
database10
database-access10
romaji10
kanji10
rabbit10
health10
Programming languages (12)
Github contributions (5)
MaximMoinat/Achilles
Aug 2016 - Feb 2023
Automated Characterization of Health Information at Large-scale Longitudinal Evidence Systems (ACHILLES) - descriptive statistics about a OMOP CDM v4 database
Contributions:7 pushes, 1 branch in 6 years 7 months
health-informationcharacterizationstatisticshealthscale
MaximMoinat/WhiteRabbit
Dec 2016 - Mar 2020
Contributions:2 PRs, 8 pushes, 9 branches in 3 years 3 months
interactive-designpreparationscansqlreport
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.