Freelancer profile translated to English.

Description

Clinical data expert (11 years) transitioning to Machine Learning Engineering. I combine field knowledge of the medical world, regulatory rigor (GDPR, GCP, CNIL) and ML development skills. Ideal for healthtech, pharma or CRO missions that need a bridge between data science and the clinical world.

Industry field of expertise

Languages

French
Native or bilingual
English
Fluent

Workplace preferences

Can work on-site

Paris (up to 50km)

LIORA,
Machine Learning Engineer Learner
February 2026 - Today (4 months)
92400 Courbevoie, France
Advanced training in data science, data engineering, model development, and MLOps for designing scalable ML systems.
NOVARTIS PHARMA SAS,
Clinical Project Manager
January 2019 - January 2026 (7 years)
92500 Rueil-Malmaison, France
– Piloting national strategy in alignment with global teams, through rigorous KPI monitoring and optimized resource allocation.
– Implementation and optimization of operational study startup pipelines, ensuring compliance with deadlines and EUCTR/GDPR regulations.
– Deployment of standardized processes and reinforced quality controls, contributing to the improvement of data integrity.
– Training and support of teams, fostering skill development and operational autonomy.
– Development of multi-therapeutic expertise: Oncology, Dermatology, RLT, CAR-T, rare diseases.
– Negotiation of study budgets and management of contractual portfolios (CDAs, CTAs, loan agreements).
– Coordination of multidisciplinary and transnational teams, including the supervision of a billing unit in India.
CENTRE OSCAR LAMBRET DE LILLE
Clinical Project Manager
January 2015 - January 2019 (4 years)
– Supervision of oncology studies, ensuring operational quality and regulatory compliance throughout the study lifecycle.
– Management of regulatory submissions to competent French authorities (ANSM, CPP, CNIL).
– Drafting and coordination of key study documents: protocols, synopses, informed consent forms, and monitoring visit reports.
– Training and coaching of field teams on monitoring activities, data validation, and GCP compliance.
– Management of external vendors (data management, biostatistics, logistics) to ensure data quality and timely delivery.