Reference Number: JO-2102-462498
Job Type: Contract
Statistician / Senior Statistician
12 Month Contract
IR35 – Outside
500 – 550 per day Ltd
Fully remote working
Cpl Life Sciences are partnering with our large pharma client to source a senior Statistician with experience in oncology for a 12 month contract position.
Provides advanced biostatistical support. Writes and/or reviews statistical analysis plans, study design concepts and protocols. Displays sound level of competence in a range of statistical methodologies and will often act as a point of reference for others.
Provide statistical expertise in the design, analysis and interpretation of secondary observational research studies and primary data collection clinical studies/trials in support of BioPharmaceuticals Medical & Payer evidence generation research activities.
Provide expert advice in the analysis of real world data for stakeholders in Epidemiology, Market Access / HEOR, Medical Affairs, and other functional areas.
Provide statistical guidance on the development of Study Design Concepts, Protocols, Statistical Analysis Plans, Data Presentation Plans, Clinical Study Reports and publication activities in support of BPM clinical/observational study activities.
Provide oversight of CRO analytic activities for outsourced BPM clinical/observational studies as needed, supporting the Study Lead in reviewing all analytical activities outsourced to external vendors, including analysis plans, review of interim/final results and publications development.
Graduate degree in Statistics, Biostatistics, or related quantitative fields (epidemiology, health outcomes, health informatics or health economics) or equivalent course work/ technical experience with experience in pharma/healthcare or other relevant discipline.
Experienced in the design, analysis and reporting of clinical studies/trials in a pharmaceutical research or academic setting.
Demonstrated ability to work collaboratively on cross-functional teams across global & functional boundaries, both internally and externally.
Self-motivated with the ability to work independently to solve complex and challenging problems using innovative strategies while maintaining focus on quality.
Excellent communication skills and ability to build strong relationships.
Very experienced in RWE observational research study management and data analytics within pharmaceutical industry.
Advanced knowledge of epidemiologic and/or health economics methods, (e.g., propensity score analysis, marginal structural modeling).
Please apply or send your CV to Luke.firstname.lastname@example.org