Accenture job vacancy for Clinical Data Svs Associate @BENGALURU

Clinical Data Svs Associate

Job Description
Skill required: Clinical Data Operations – Clinical eTMF Management
Designation: Clinical Data Svs Associate
Qualifications: Bachelor of Pharmacy
Years of Experience: 1 to 3 years

What are we looking for?

•Adaptable and flexible •Ability to perform under pressure •Problem-solving skills •Detail orientation •Ability to establish strong client relationship

Roles and Responsibilities:

•In this role you are required to solve routine problems, largely through precedent and referral to general guidelines • Your expected interactions are within your own team and direct supervisor • You will be provided detailed to moderate level of instruction on daily work tasks and detailed instruction on new assignments • The decisions that you make would impact your own work • You will be an individual contributor as a part of a team, with a predetermined, focused scope of work • Please note that this role may require you to work in rotational shifts

Qualifications: Bachelor of Pharmacy

What would you do?

You will be aligned with our Life Sciences R&D vertical. Our services span across the entire life sciences enterprise, from research laboratories, clinical trials support, and regulatory services, to pharmacovigilance and patient services solutions. Employees under this span will be a part of one of the sub-offerings – Clinical, Pharmacovigilance & Regulatory, helping the world’s leading biopharma companies bring their vision to life – enabling them to improve outcomes by converging around the patient, connecting scientific expertise with unique insights into the patient experience. The Clinical Data Management team focuses on the collection, integration, and availability of data at appropriate quality and cost. The team is responsible for performing data management activities including discrepancy review, query generation, and resolution. The team is also responsible for creating CRF Completion Guidelines (CCG) and SAE reconciliation guidelines. They help identify and raise protocol deviations in the database, perform edit check validation by creating test cases, write test scripts, and carry out database validation (UAT) against the specified CRF/ECRF. The team also managing clinical data management projects. You will be expected to use strategies, methods and tools used throughout the lifecycle of the clinical trial regulated content. Includes data review and accuracy checks of trial master file table of contents, head quarters, initial full protocol package and amended FPP checklists, end of trial checklists, essential document reconciliation, and clinical study report appendices.

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