- Should be familiar with Life Sciences domain and the different business units (Commercial, R&D, Supply Chain) at a high level at least
- Should have good understanding of the Pharmaceutical R&D in particular i.e. clinical trials :
i. Data clinical trials produce, how patients/ subjects recruitment happens, how clinical trials sites are enabled
ii. Different phases, end points and objectives; inclusion and exclusion criteria; clinical trial data management and statistical analysis.
- Basic concepts of Pharmacovigilance reporting process and safety signal detection
- Basic understanding of FDA Adverse Event Reporting System and Eudra-vigilance datasets
Technical Skills:
- Good hands-on knowledge of Excel functions and formulae and basic data analysis tools
- Strong hands-on any RDBMS (MySQL/ SQL Server/ Oracle PLSQL) skills
- Hands-on R/Python programming skills
- Experience of any visualization tool like Tableau, Spotfire, Qlikview would be a plus
- Statistical tests and basics of predictive modeling
Roles and Responsibilities :
- Understand customer requirements on pharmacovigilance, signal detection and other R&D business problems
- Identify challenges to implement and execute proposed solution and communicate with same with project lead and the customer proactively
- Figure out the data requirements and analytics solutioning
- Take ownership and deliver on the R&D analytics project end-to-end (This is more for Consultant and above- NOT necessarily for Analyst level)
- Be able to do literature search and implement new analytics requirements from scratch to improve the existing solution
- Participate in proposals and business development efforts in the field of pharmaceutical R&D (This is more for Consultant and above- NOT necessarily for Analyst level)
- Collaborate with team members and mentor junior team members so that they can deliver independently
Educational Background :
- Engineering from reputed college or equivalent with strong work experience in lifesciences and statistical analysis
- Master's degree in Business Administration from a reputed college or equivalent,
- Statistics / Operations research masters from reputed college or equivalent
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