Real-World Evidence Analyst/Statistician

Job description

Job Description

Job Purpose

Responsible for the scientific and methodological aspects of all observational database analytics and evidence synthesis with minimal supervision.

Major Accountabilities

• Independently accountable for the development of protocols, statistical analysis plans and analysis specifications for observational database analyses aligned with RWE generation objectives across the organization.
• Conduct feasibility assessments using analytic tools.
• Conduct observational data analyses (data management and statistical programming), as well as oversee data management and statistical programming activities for the RWE database programmers.
• Produce analysis datasets, listings, tables, and figures for research projects, according to specifications, while maintaining documentation and complying with pre-defined project / study standards.
• Independently accountable for the development of protocols and conduct of evidence synthesis analyses (meta – analyses, indirect comparisons, etc.) in partnership with Analytic Leads.
• Develop project timelines together with the RWE Database Programmer.
• Produce analytic deliverables, including full study reports for observational database analyses and evidence synthesis projects.
• Enforce quality standards with the RWE database programmers.
• Provide tactical analytic leadership and innovation regarding observational database analyses, evidence synthesis, and associated methodology.
• Collaborate with RWE Center of Excellence to drive quality and accuracy of deliverables; constant improvements on systems, processes and quality matrices that add value to existing solutions.
• Contribute to the development of department-level standards, tools and templates.
• Support and contribute to standardization techniques in order to increase efficiency in deliverables.
• Help on-board new team members, as appropriate, and complete special projects as assigned.

Desired profile

Education: Bachelor's degree in a relevant scientific discipline, plus a post-graduate degree (Masters or Doctorate) in a relevant medical data analytic field such as health economics, epidemiology, biostatistics, mathematics, health services research, economics, and/or public health.

Languages: English fluent

Minimum requirements:

• Extensive experience conducting health economic and outcomes research for pharmaceutical products in the pharma industry, contract research organization, or academic institute; or experience in a closely related discipline within the pharma industry (e.g., clinical research, statistics, epidemiology, pricing)
• Prior work experience with data from electronic medical records, registry databases, external insurance claims databases for health outcomes research. Additional experience in epidemiology, market research, or clinical research is a plus.
• Experience with evidence synthesis (meta-analyses, indirect comparisons)
• Understanding of organizational processes, including experience working cross-functionally with key internal stakeholders.
• Past work reflects a track record of operational excellence in field of analytics (strong programming skills in SAS, and other data management and statistical applications; programming knowledge in either R, STATA, or WinBUGs is a plus.)
• Expert in applied statistics. Extensive experience in the application of statistical methods for analysis of observational data including propensity scores, sensitivity analyses, etc. is a plus.
• Experience in data visualizations.
• Excellent project management skills: can prioritize multiple tasks and goals to ensure timely completion.
• Confident and competent when interacting with internal stakeholders.
• Strong written/verbal communication skills. Highly effective at summarizing and presenting key considerations and evidence.
• Strong team spirit



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