Reference Number: JO-2010-456715
Principal/Associate Director Statistician
Job Type: Contract
Role: Principal/Associate Director Statistician
Location: Cambridge (remote initially, but with access to office preferred over time)
Duration: 6 Months (likely to extend)
Start Date: November
Rates: Up to 600 per day (Ltd/Umbrella/PAYE)
We are seeking several of senior statisticians at Principal or Associate Director level for a large Pharmaceutical Client who can demonstrate working with a high degree of independence to provide advanced biostatistical support. You will be able to write and/or review statistical methodology and give statistical input to the design and review of research protocols and proposals. The role requires you to display sound level of competence in a range of statistical methodologies and will often act as a point of reference for others.
Essential to the role is the ability to maintain awareness of new developments in statistical methodologies, have practical experience in applying statistics to observational and clinical research data and providing statistical input to protocols, writing and/or reviewing statistical analysis plans and analysing data from primary and secondary observational studies and clinical trials.
Provide statistical expertise in the design, analysis and interpretation of secondary observational research studies/IVS contracts 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 (such as medical claims, electronic health records, registries) 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.
May provide hands-on analytical support for internal RWE analyses across BioPharmaceuticals Medical.
Collaborate in the development of operational systems and research processes to increase the effectiveness and efficiency of BPM Evidence and RWS&D research efforts.
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.
MSc with 5 years of experience or PhD with 2 years of experience 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.
Strong project management/organisational and prioritisation skills.
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.
At least 3+ years-experience in RWE observational research study management and data analytics, either within pharmaceutical industry or with an observational research consulting firm or academia.
Extensive knowledge and demonstrated experience with a variety of real-world data sources and observational research study design/execution in biotech/pharmaceuticals, consulting or academia.
Experience working with large healthcare claims and EMR databases such as Truven MarketScan, Optum, CPRD or similar.
Advanced knowledge of epidemiologic and/or health economics methods, (e.g., propensity score analysis, marginal structural modeling).
Experience using RWE Analytic Tools & platforms (e.g., IHD/Aetion Analytic tools)
Proficiency in SAS, SQL and/or R.
If you feel you meet the criteria of the role, please submit your CV to Stephen Wincott at firstname.lastname@example.org and I will be in touch to discuss your application.