Senior Data Analysis

Al Solutions
A Coruña, Spain
13 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Data Analysis Biometrics SAP (Applications) SAS (Software)

Job description

We are working with a medium sized biometric specialist that are scaling up their biometrics team across Europe due to several new partnerships they have formed and looking for Senior and Principal level biostatisticians.My client is able to offer FSP or multi-sponsor studies across various therapy areas and phases.This is a fully remote position, but the candidate must be located in Spain.Responsibilities:Design, program, and validate complex primary efficacy datasets for clinical studiesDevelop and quality-check summary tables, listings, figures, and statistical analysis outputs in line with SAP requirementsCollaborate with clients to recommend alternative approaches or supplementary analyses when appropriateCreate and validate reusable macros to support statistical analyses and graphical outputsConduct Stage 3 quality control reviews to ensure accuracy and complianceProvide guidance on complex endpoints and analyses while maintaining consistency across clinical development programsPrepare, validate, and review efficacy dataset specifications for individual studies as well as integrated analyses (ISS/ISE)Author Statistical Analysis Plans (SAPs), including ISS/ISE SAPs and DSMB SAPs and ChartersExperience Required:Statistics degree or Life Science degreePrevious experience working as a biostatistician within a CRO or pharmaceutical environmentTrack record of independently leading studiesExperience working in Oncology is preferredGood working knowledge with SASFor more information, please submit your application.Jack KavanaghAL Solutions

Requirements

Statistics degree or Life Science degree Previous experience working as a biostatistician within a CRO or pharmaceutical environment Track record of independently leading studies Experience working in Oncology is preferred Good working knowledge with SAS

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