Associate Statistical Programmer

Associate Statistical Programmer, Bengaluru
At ICON Strategic Solutions, you will work in a sponsor-dedicated model, supported by ICON’s global expertise.
As the world’s largest FSP organisation, with over 90 sponsor partnerships, we offer stability, career development and a collaborative environment where your work contributes to the development of treatments that benefit patients worldwide.
The Associate Statistical Programmer is responsible for creating, validating, and executing statistical programs to generate analysis datasets, tables, figures, listings, and safety outputs, ensuring all deliverables are accurate, complete, consistent, and completed in line with established procedures and project timelines.
What You Will Do:
Recognize, exemplify and adhere to ICON's values, centred around our commitment to People, Clients and Performance.
Embrace and contribute to a culture of process improvement, with a focus on streamlining processes, adding business value and meeting client needs.
Travel, approximately 0%, domestically and/or internationally.
Read, understand and adhere to all assigned ICON and sponsor standard operating procedures and working procedures.
Record all billable and non-billable time accurately in the appropriate time-management system.
Complete all assigned mandatory ICON and sponsor training.
Adhere to programming specifications and study-specific requirements, including completion and filing of required documentation.
Plan and organize workload to ensure effective time management and adherence to project-specific timelines.
Use SAS/R efficiently and follow applicable SAS/R programming guidelines.
Create safety and efficacy outputs, including analysis datasets, tables, figures and listings, to a high standard of quality and accuracy.
Validate safety and efficacy outputs in accordance with departmental procedures.
Create basic macros at the table, listing and figure level.
Troubleshoot and resolve programming issues in a timely and efficient manner.
Your Profile:
0-2 years of prior relevant Internship and hand’s on in R programming with basic experience in SAS, preferably in the clinical research industry.
Ability to perform assigned tasks under supervision, as appropriate to the level.
Ability to liaise professionally with team members.
Ability to work independently and as part of a team environment.
Good problem-solving and organizational skills, attention to detail, and verbal and written communication skills.
Demonstrated ability to learn new applications and techniques.
Basic knowledge of relevant software products and platforms, such as UNIX and Windows.
Basic knowledge of statistical concepts.
Basic knowledge of data structures used in the clinical research industry and the software development lifecycle.
Understanding of the development and use of standard programs and macros.
Master’s/bachelor’s degree, in quantitative or scientific discipline, or local equivalent.
Employment with ICON is contingent upon having the legal right to work in the country where the role is based.
Rewards & Benefits
ICON offers a competitive and comprehensive total rewards package designed to support your health, wellbeing, and career development.
Benefits may include:
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.
Visit our careers site to read more about the benefits ICON offers.
Inclusion and Accessibility
ICON is an equal opportunity employer. We are committed to building an inclusive and accessible workplace where everyone feels valued and supported.
If you require reasonable accommodations during the recruitment process, please let us know or submit a request here.
Are you a current ICON Employee? Please click here to apply

Skills
Process Improvement, Clinical Research, Documentation