[Hiring] Statistical Scientist @ICON plc

Role Description

We are currently seeking a Statistical Scientist to join our Biostatistics & Medical Writing (BMW) Real World Evidence team. This is an exciting opportunity to work on a diverse range of Real World Evidence projects, supporting study design, statistical analysis, programming, reporting and scientific communication activities.

• Contribute to project conception and study design activities.
• Support proposal development for both full-service and statistics-only projects.
• Perform statistical analyses using SAS and R.
• Develop and maintain SAS programs for data manipulation, analysis and reporting.
• Create variables, perform data merges and prepare analytical datasets.
• Apply appropriate statistical procedures to support project objectives.
• Use advanced SAS techniques such as repeated measures, survival analysis, SAS/Graph, advanced macros or similar methodologies.
• Develop outputs including tables, graphs and project deliverables.
• Support scientific communication activities including conference presentations and publications.
• Participate in professional activities and technical conferences.
• Attend weekly BMW meetings and contribute to departmental initiatives.
• Support Directors and members of the Executive Team with BMW initiatives.
• Contribute to budgeting and scope development activities with appropriate oversight.
• Adhere to departmental SOPs and quality standards.
• Undertake other reasonably related duties as required.
• Travel domestically and internationally as needed (approximately 5%).
• Demonstrate and uphold ICON's commitment to People, Clients and Performance.

Qualifications

• Degree in Statistics, Biostatistics, Epidemiology, Health Economics, Mathematics, Public Health or a related quantitative discipline.
• Experience working with statistical analyses and healthcare or research data.
• Strong SAS programming skills, including:
• Data step programming
• Conditional statements and variable creation
• Data merges and concatenation
• Output Delivery System (ODS)
• Statistical procedures
• Experience using advanced SAS techniques such as repeated measures analysis, survival analysis, SAS/Graph or advanced macros.
• Proficiency in R programming.
• Ability to develop statistical outputs, tables and graphs.
• Strong analytical, organisational and problem-solving skills.
• Effective written and verbal communication skills.
• Ability to work collaboratively within a team environment.

Requirements

• Experience within a Real World Evidence environment.
• Knowledge of epidemiology, health economics, patient-reported outcomes or related disciplines.
• Experience participating in conference presentations, publications or scientific communications.
• Experience supporting proposal or business development activities.

Benefits

• Competitive base salary and performance related incentives.
• Health and wellbeing programmes including medical, dental, and vision coverage where applicable.
• Retirement and pension plans.
• Life assurance and disability coverage.
• Employee assistance programmes and wellbeing resources.
• Learning and development opportunities through structured training and career pathways.
• Benefits may vary depending on role and location.