Job description

Project Statistician

Location: CORK (hybrid)

The Project Statistician for Real-World and Access Analytics contributes to evidence generation based on real-world and/or clinical trial data sources to address key business/customer questions. The Project Statistician works in collaboration with Health Outcomes Research Scientists, physicians, and/or other colleagues to develop and execute study designs and analysis plans which result in evidence/information of scientific integrity and value to patients, prescribers, payers, and/or caregivers.

Responsibilities:

• Operate in collaboration with study personnel to provide input on study objectives, appropriate research methods, and study design to provide meaningful data and inference for key business questions. Write study protocol and analysis plans.
• Assist in or be accountable for selecting statistical methods for data analysis, authoring the corresponding sections of the protocol and the statistical analysis plan, and conducting the actual analysis once a reporting database is created.
• Collaborate with data sciences in the planning and implementation of data quality assurance plans.
• Maintain currency with respect to statistical methodology, particularly in methods applicable to observational research, to maintain proficiency in applying new and varied methods, and to be competent in justifying methods selected.
• Operate in collaboration with cross-functional colleagues to discern ability to provide meaningful information for key business questions via secondary analysis of clinical trial data. Influence decisions on these projects and clearly articulate limitations of research methods.
• Assist in or be accountable for selecting statistical methods for data analysis, authoring the corresponding sections of the statistical analysis plan, and conducting the actual analysis.
• Maintain currency with respect to statistical methodology, particularly in methods applicable to observational research, to maintain proficiency in applying new and varied methods, and to be competent in justifying methods selected.
• Support responses to regulatory and payer queries and/or regulatory interactions. Actively contribute to internal and external scientific interactions with decision-making agencies and healthcare professionals.
• Understand disease states, competitive landscapes, and regulatory/payer environment in order to enhance the level of customer focus and collaboration as a strong scientific contributor.
• Perform work in full compliance with assigned curriculum(s) and be responsible for following applicable policies, procedures, processes, and training.

Requirements:

• M.Sc. or Ph.D. Statistics or Biostatistics or equivalent experience
• At least 5 years of relevant experience in real-world evidence analytics, HTA analytics and/or Medical Affairs analytics
• Proficient in statistical programming languages/software such as SAS, R, Spotfire, etc.
• Excellent knowledge of statistical theory and methodology, including causal inference, experimental design

Job Types: Full-time, Permanent

Schedule:

• 8 hour shift
• Monday to Friday

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