Clinical Data Services Associate - SAS Clinical

Why This Role Matters
In today’s life sciences landscape, the integrity, accuracy, and timely processing of clinical data are essential for driving meaningful research and improving patient outcomes. As a Clinical Data Services Associate – SAS Clinical at Accenture, you will play a key role in supporting clinical trials for leading biopharma companies. By managing, integrating, and analyzing clinical data, you help ensure that insights into treatment safety and efficacy are reliable, timely, and compliant with global regulatory standards. This role empowers you to connect scientific expertise with patient-centric outcomes, contributing directly to innovations in healthcare and enabling data-driven decision-making across the clinical research continuum.

Job Description
The Clinical Data Services Associate – SAS Clinical will be part of Accenture’s Life Sciences R&D vertical, specifically within the Clinical, Pharmacovigilance & Regulatory sub-offering. The role focuses on clinical data management with an emphasis on SAS-based analysis, data integration, and data quality assurance. You will be responsible for handling the full cycle of clinical data, including collection, validation, storage, and transformation into analytical datasets for reporting and strategic study analyses. Your work ensures that clinical research data is accurate, complete, and ready for downstream statistical analysis and regulatory submission. The role requires close collaboration with internal teams, including clinical operations, biostatistics, and data management, to maintain seamless data flow and uphold compliance with regulatory guidelines. Employees will utilize SAS tools and data integration platforms to standardize, manage, and analyze complex clinical trial datasets efficiently. This role also provides exposure to advanced data operations, such as cross-study analyses, safety reporting, and data standardization processes, helping biopharma companies generate actionable insights while maintaining the highest data quality standards.

Key Features of the Role: Responsibilities
• Solve routine problems, largely using precedent and referring to general guidelines.
• Perform day-to-day clinical data tasks under detailed to moderate instruction.
• Apply SAS and other clinical data integration tools to organize, standardize, and manage trial data.
• Collaborate within your team and with a direct supervisor to address queries, resolve discrepancies, and maintain high data quality.
• Support the creation of analysis datasets and contribute to strategic analyses, including cross-study and safety evaluations.
• Maintain documentation and follow standard operating procedures (SOPs) to ensure compliance with regulatory and client requirements.
• Participate in team discussions and provide input to improve workflows and data processes.
• Work as an individual contributor within a team, focusing on a predetermined scope of work.
• Adapt to rotational shift schedules, as required, to ensure continuous data operations.
• Engage in learning initiatives to build proficiency in SAS, clinical data tools, and integration platforms.

Required Qualifications
• BE, MSc, or Bachelor of Pharmacy in Life Sciences, Biotechnology, Computer Science, or a relevant field.
• 1 to 3 years of experience in Clinical Data Management, SAS programming, or clinical research.
• Hands-on experience with SAS, data integration platforms, or clinical data management tools is highly desirable.
• Strong problem-solving skills and attention to detail.
• Ability to adapt quickly, learn new tools, and work effectively in a team-oriented environment.
• Good communication skills to collaborate with peers, supervisors, and stakeholders.

Educational Requirements
• Bachelor’s degree in Engineering (BE), Pharmacy (BPharm), or MSc in Life Sciences or a relevant discipline.
• Familiarity with clinical trial processes, data standardization, and regulatory compliance is preferred.
• Exposure to clinical data integration tools, metadata management, and analysis dataset preparation is an advantage.

Experience and Skills
• 1 to 3 years of professional experience in clinical data management, SAS programming, or clinical research.
• Proficiency in SAS programming, clinical data validation, and dataset generation for analysis.
• Experience with data integration, metadata management, or cross-study analytics is a plus.
• Strong organizational and analytical skills to identify data issues and propose solutions.
• Ability to work under supervision, follow instructions, and contribute effectively to team objectives.

Salary Insights
• Competitive salary aligned with industry standards and candidate experience.
• Benefits may include health insurance, performance incentives, and professional development programs.

Company Overview
Accenture is a global professional services company with expertise in digital, cloud, and security. With over 784,000 employees across 120+ countries, Accenture empowers clients to harness technology and human ingenuity to create value. Its Life Sciences R&D vertical provides services spanning clinical trials, regulatory affairs, pharmacovigilance, and patient services, enabling biopharma companies to deliver innovative therapies efficiently. Accenture promotes a collaborative, learning-driven environment where employees can contribute meaningfully to the advancement of healthcare globally.

FAQs
• What is the main focus of this role?
Managing and analyzing clinical trial data using SAS and data integration tools to support research and regulatory compliance.

• What software skills are required?
Proficiency in SAS, clinical data management systems, and data integration platforms.

• Will I interact with clients?
Primary interaction is with your team and supervisor, though data outputs may support client projects indirectly.

Application Tips
• Highlight your experience with SAS programming and clinical data management.
• Emphasize adaptability, teamwork, and problem-solving skills.
• Showcase exposure to data integration or cross-study analysis projects.
• Tailor your resume to reflect contributions to clinical research and high-quality data handling.