Support market access preparedness by generating insights from real world data, by designing and executing highly robust payer relevant real world evidence studies leveraging commercial and open-source real world data sources
Generate robust real-world evidence (RWE) to support market access activities pre/during and post launch
The studies include but not limited to epidemiologic analysis like incidence and prevalence, healthcare resource cost and utilization, adherence, persistence analysis
Independently drive execution of end-to-end real-world evidence generation studies
Proactive planning of project milestones and ensure projects are delivered as per timeline
Statistical programming and input to analysis plan
Provide guidance for PEG Mangers in HQ about real-world data sources, strengths limitations
Provide support for publication materials across key major international/national congresses
Identify scope and opportunities for leveraging novel data sources and analytics like Machine Learning /Artificial Intelligence
Coordinate with PEG Manager to design study analysis plan. Design study analysis plan and Execute feasibility analysis then advice on conduct of full studies.
Data and statistical programming/writing code scripts (SQL, SAS/R). Review and approve publication materials for conducted studies.
Prepare analyses cohorts based on in-house commercial EMR/claims databases.
Develop analyses approaches and procedures in commercial databases for recurrent analyses. Interpretation of output and provides suggestions on improvements.
Participate and drive update discussions with the Global PEG team and internal knowledge sharing discussions.
Participate in internal team and strategy meetings within NN GBS and HQ. Also, be a buddy for new joiners in the team.
Qualification
Bachelors/Masters in Biostatistics, Mathematics, Economics, Engineering, Computer science, Life sciences, Public health or equivalent.
Minimum of 7-10 years of experience in data analytics/science, ideally within pharmaceutical industry or consultancy.
Minimum 5 years of experience working on patient data and epidemiological studies and statistical analysis.
Exposure to product evidence generation strategy and cross functional collaboration.
Experience contributing to medical publications preferred.
