Hicham EL FARRI

Principal Data Scientist

Salaire / Taux journalier

Bruxelles, Belgique

Freelance

Expertises

Machine LearningDeep LearningRGoogle Cloud PlatformData VizualizationCopilotGitGitLabJiraScrum

À propos

Introduction

Principal data scientist with 15+ years of expertise in clinical trial analytics and statistical programming across oncology and neuroscience. Currently at Roche, managing 3 global teams delivering 13+ pivotal trials annually, with proven success developing innovative R Shiny tools that accelerate QC processes and enhance data reliability. Specialized in CDISC standards, SAS/R programming, and ADAM dataset development to deliver actionable insights for pharmaceutical research.

Liens

Expérience de travail

Principal data scientist

Roche Pharmaceuticals

oct. 2018 - Présent

8 ans 1 mois

Région de Basel, Suisse

-Managed and coordinated up to 3 global programming teams across parallel oncology and neuroscience projects, delivering analysis-ready datasets for 13+ pivotal clinical trials each year. -Orchestrated and led global workshops to enhance colleagues' statistical programming expertise, enabling 9 individuals to contribute to statistical programming activities post-workshop. -Developed and implemented SAS and R programs, along with their specifications, to produce ADAM datasets. -Developing a novel R Shiny tool to support the visualization and quality control (QC) of clinical data, with integrated consistency checks designed to significantly reduce QC resources and clinical issues, accelerate the QC process, and enhance data reliability. -Represented Roche at industry events, including PHUSE, to share expertise, exchange knowledge, and foster collaboration within the statistical programming and data science community.

Lead Statistical Programmer

Novartis

août 2016 - oct. 2018

2 ans 3 mois

Région de Basel, Suisse

- Analyzing phase I to III Clinical trials in different indications within the Oncology Business unit. - Writing the ADAM specifications and program derived datasets following the CDISC standards. - Review of SDTM datasets and specifications created by the data management team. - Developing SAS programs and macros to generate tables, listing and graphs for scientific reports and publications. - Writing the Reviewer’s Guide. - Programming point of contact with data management and clinical teams. - Review of open CDISC checks. - Validation activities such as developing acceptance checks and quality control of outputs and programs.

Senior Statistical Programmer

Business & Decision Life Sciences

août 2014 - août 2016

2 ans 1 mois

Responsible for : Analyzing phase I to IV Clinical trials (demography, safety and efficacy) in different therapeutic area. Write the ADAM specifications following the CDISC standards from the annotated CRF and the SAP Design and Program ADAM derived datasets using SAS Base, Macro, Stat SQL and Graph Production of tables, listings & figures Writting technical documents like Reviewer’s Guides - Creating Analysis datasets in the ADAM standard - Creating ADAM mapping - Creating SAS programs and macros in order to prepare ADAM datasets and Tables, Figures and Listings (Phase I, II and III). - Doing quality control of Dataset and Mapping - Writing technical documents like Reviewers Guides.

Statistical Programmer SAS

GlaxoSmithKline Consumer Healthcare Sp. z o.o.

janv. 2012 - janv. 2014

2 ans 1 mois

Région de Bruxelles , Belgique

- Creation and validation of tables, listings and graphs - Creation and QC of macros and reports - Use of CDISC - Redaction of TFL - Review of SAP - Knowledge of GCP and ICH Guidelines - Electronic archiving documents - Writing of technical documents - Respect of quality commitments - Participating in the continual improvement of the Quality System - Identifying and to record non conformities

Statistician SAS

Mutualité Française Nord Pas-de-Calais services de soins et d'accompagnement mutualistes

juin 2008 - janv. 2012

3 ans 8 mois

92320 Châtillon, France

- Developing programs through SAS software (Base, Macro, SQL and Graph) in order to controm accounting flows coming from our partners - Extracting data through Business Object and creating query - Creating and automating management tools with VBA and Access - Management Project

Internship statistician SAS

CNRS - Centre national de la recherche scientifique

avr. 2007 - oct. 2007

7 mois

CNRS - Paris - France

- Studying the academic backgrounds of the students in the Aix-Marseille academy - Using statistical methods such as linear regression, logistic regression, CAH, ACP with SAS and SPSS - Developping programs through SAS software (Base, Macro and Stat) in order to analysis the academic backgrounds


Formation

Centre de mathématique et informatique de Marseille

Master's degree, Computer science and statistical engineering

2006 - 2007

1 an 1 mois

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