Statistical Scientist - Real World Evidence

About the role

ICON, a global healthcare intelligence and clinical research organisation, is looking for a Statistical Scientist to join its Biostatistics & Medical Writing (BMW) Real World Evidence team in Sofia. The role covers study design, statistical analysis, programming, reporting and scientific communication, working closely with colleagues across Biostatistics & Medical Writing.

Key responsibilities

• Contribute to project conception and study design, and support proposal development for full-service and statistics-only projects.
• Perform statistical analyses using SAS and R, and develop and maintain SAS programs for data manipulation, analysis and reporting.
• Create variables, merge data and prepare analytical datasets, applying advanced SAS techniques such as repeated measures, survival analysis, SAS/Graph and advanced macros.
• Develop tables, graphs and project deliverables, and support conference presentations and publications.
• Attend weekly BMW meetings, support the Directors and Executive Team, help with budgeting and scope, and follow departmental SOPs and quality standards.
• Travel domestically and internationally as needed (about 5%).

Required profile

• Degree in Statistics, Biostatistics, Epidemiology, Health Economics, Mathematics, Public Health or a related quantitative discipline.
• Experience with statistical analyses and healthcare or research data.
• Preferred: experience in a Real World Evidence environment, knowledge of epidemiology, health economics or patient-reported outcomes, and experience in conference presentations, publications or proposal support.
• Legal right to work in the country where the role is based.

Required skills

• Strong SAS programming, including data steps, conditional statements, ODS, data merges and advanced techniques such as survival analysis and macros.
• Proficiency in R programming.
• Ability to develop statistical outputs, tables and graphs.

What we offer

• Competitive base salary and performance-related incentives.
• Health and wellbeing programmes, retirement and pension plans, life assurance and employee assistance programmes.
• Learning and development opportunities.