Data Analyst 2

About This Role

This job entails interpretation of Clinical trials data across various therapeutic areas and actively contributing to the development of database products that support informed decision making at various stages of clinical development and post approval phases using modelling and simulation approaches. This role necessitates a profound knowledge of pharmacology and clinical research, experience in development/process of clinical databases for conducting systematic literature review and meta-analysis.

Key Responsibilities

• Play a key role in the development of clinical database products in various therapeutic areas like Metabolic & CV, Neuroscience, Autoimmune, Oncology, Respiratory etc., with very high quality that support Meta-analysis (Pair wise, Network and Model based meta-analysis)
• Analyze and annotate information pertaining to trial design, treatments, demographics and outcomes data for the full time course from clinical literature
• Digitize results from graphs for outcomes reported on linear, logarithmic and semi-log scales with precision
• Work with lead consultant, peer data analyst and Quality manager to understand and contribute to database rules, specifications and quality process
• Undergo relevant training programs in Statistics, R coding, Systematic literature review and Data analysis methods

Qualifications Required

• Masters in Pharmacology or Pharmaceutics (with relevant experience), Pharma D, Clinical Practice, Masters in Public Health and Epidemiology
• Minimum 1-2 years of experience in the areas of Information science, Systematic Literature review, Health-economics and public health sectors; pharmaceutical industry experience preferred
• Strong knowledge of Pharmacology and clinical research is a must
• Knowledge of clinical development and post approval phases, PICOS approach, trial designs, Pharma Industry data standards/ontologies