Back
Tier-1 pharma brand, Bangalore metro and mid-level clinical data role attracts many qualified applicants.
Clinical trial-specific SDTM/ADaM and GxP requirements make cross-industry transfer limited.
Explicit 3–5 years requirement plus mandatory SAS/R, SDTM/ADaM and GxP compliance increases filter strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead clinical data science setup and execution for clinical trials, including eCRF design, Data Flow Plans, and Blinding Plans within trial squads.
Ensure quality control and compliance of statistical data deliverables (SDTM, ADaM), manage submission packages and generate tables, figures, and listings (TFLs) per industry standards.
Coordinate across R&D and external partners, oversee trial operations, review protocols and Statistical Analysis Plans, and drive process innovation and knowledge sharing globally.
Bachelor's or Master's degree in life sciences, natural sciences, engineering, or equivalent.
3-5 years of statistical programming experience; preferably at least 1 year in pharmaceutical industry or equivalent relevant experience.
Proven expertise in SAS or R programming for clinical trial reporting, including statistical data handling and comprehensive knowledge of clinical data standards and drug development processes.
Experience with program review, documentation, and understanding of GxP and regulatory guidelines in drug development.
Experienced clinical data scientist with operational ownership of data deliverables and trial execution coordination within clinical development environments.
Strong programming background in SAS or R coupled with deep understanding of clinical databases, data models, and regulatory compliance requirements.
Able to manage multiple complex tasks with excellent planning and coordination; skilled at cross-functional stakeholder management and presenting insights to diverse audiences globally.