Clinical Development Data Insights Specialist

10 hours ago

Bengaluru, Karnataka, India beBeeData Full time US$ 1,50,000 - US$ 2,00,000
Job Overview

To enhance clinical development efficiency by leveraging analytics and domain clinical expertise, the incumbent will oversee multiple R&D analytics projects and a team of Analysts to deliver high-quality analytics and strategic insight for informed decision making.

Key Responsibilities
  • Collaborate with stakeholders to comprehend business context, project requirements, and specific challenges.
  • Develop a detailed project plan in conjunction with the team and utilize a consultative approach in managing individual and team-assigned projects.
  • Establish data-driven project outlines with country analysts to support project requirements.
  • Drive methodology homogenization and automation efforts across multiple initiatives and offerings within the team through strong analytic and collaboration skills.
  • Act as a subject matter expert to manage and mentor a team of Analysts with examples across various areas of business supported by our CTA SI team.
  • Integrate all communications, schedule interim deliverable checkpoints, and raise flags for potential challenges.
Requirements
  • Masters degree in pharmaceutical, life sciences, biostatistics, biochemistry, biotechnology, or bachelors degree in information technology, computer sciences, or equivalent.
  • 8-10 years of experience in data analytics or research, preferably healthcare, clinical, and consulting with a minimum 5 years of relevant experience utilizing real-world data assets to answer pharma business questions.
  • Must have worked with real-world and/or IQVIA data assets, e.g., claims, EHR, EMR, Citeline, patient registries, and possess general subject knowledge of other healthcare datasets.
Technical Skills
  • Excellent data analysis skills to explore and QC new data assets, develop prototypes, codes, and methodologies to support existing and new use cases.
  • Hands-on experience in SQL and Python, e.g., PySpark, Pandas, NumPy, programming languages supporting big data analysis and advanced analytics use cases.
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