Highlights:
6.00 – 10.00 Years
9.00 – 15.00 INR (Lacs)/Yearly
Full-time
Bengaluru
Skills
SAS Programming
SAS Programmer
Static Program Analysis
sdtm
TLF
Statistical Programming
Roles & Responsibility
Role & responsibilities
In this role you are required to do analysis and solving of increasingly complex problems
• Your day to day interactions are with peers within our client
• You are likely to have some interaction with clients and/or our client’s management
• You will be given minimal instruction on daily work/tasks and a moderate level of instruction on new assignments
• Decisions that are made by you impact your own work and may impact the work of others
• In this role you would be an individual contributor and/or oversee a small work effort and/or team
• Please note that this role may require you to work in rotational shifts
Requirements
Preferred candidate profile
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 worldâs leading biopharma companies bring their vision to life â“ 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.
Review and analysis of source (raw) data.
Authoring of mapping specifications from source (raw) data to target (CDISC, SDTM, and/or client defined standards).
Development of CDISC and/or SDTM domains by utilizing a data conversion tool.
Quality Control of CDISC and/or SDTM domain output.
Creation of data definition files and case report forms annotated to CDISC and/or SDTM.
Assist with project status report and project related documentation.
Proactively identify issues and contribute to solutions.
Ensure quality for internal and external deliverables.
Additional responsibilities as assigned or required
- Adaptable and flexible
•Problem-solving skills
•Agility for quick learning
•Strong analytical skills
•Ability to perform under pressure
