STATISTICIAN - DATA ANALYST (H/F/X) (h/f)

YOUR MISSION
You will report to the Scientific Data Manager
In this role, you will integrate the Scientific Data Management team and give support to the Scientific Operations (SO) and the Quality Assurance (QA) departments. You will take part in implementation of statistical and data management good practices at Quality Assistance.
You will be accountable for the following tasks
Managing statistical data analysis related to day-to-day activities of the SO (e.g. QbD, DoE, outliers, OOT, OOS, ... )Writing statistical analysis protocolsValidating statistical reportsSupporting the Principal Statistician in developing and implementing statistical applicationsOrganizing data generated by the laboratoryManaging internal communication on statistical questionsEnsuring a regulatory and bibliographic watch on statistical subject matters

Profil

Scientific degree with a specialisation in Statistics, Biostatistics or Data analysis
Required
Excellent numerical and analytical skillsKnowledge of data analysis/statistical tools (e.g. R, SAS, JMP, others)Experience of statistical methodologies and data analysis techniques in relation with Bio/Pharma domainAbility to produce clear graphical representations and data visualisationsFamiliarity with scientific databases (knowledge of e.g. Oracle, MS Access, SQL, others)Skills in data modelling, data cleansing techniquesCapacity to develop and document procedures and workflows - Ability to work accurately (sense for detail) and efficiently in a multi-task environmentAbility to work in a French speaking environment (ability to communicate in French, read and write in French (scientific documents, reports, protocols and mails)Ability to write correctly in English (scientific documents, reports, protocols and mails)Ability to take initiative, prioritise and work under set deadlines to meet objectivesTeam player PlusesWorking experience in a GMP environment and/or working experience in the pharmaceutical industryLaboratory skills

Connaissances linguistiques