Associate Consultant, Real World Analytics

4 weeks ago

Bengaluru, Karnataka, India IQVIA Full time

Project Role: Associate Consultant, Real World Analytics

Work Experience: 2 to 5 Years

Work location: Bengaluru/Pune/Gurugram

Work Mode: Hybrid

Must Have Skills: Real-World Data (RWD), Healthcare, Data analytics, SQL/Python

Job Overview:

The Global Analyst is responsible for performing, managing, and coordinating data analysis activities using IQVIA Connected Intelligence Real-World Data and clinical data assets across multiple R&D projects. They work closely with Therapeutic Analytic Leads to support these initiatives and ensure consistency in the use of data, tools, and processes.

Responsibilities:

  • Utilizes IQVIA Connected-Intelligence datasets to develop and refine clinical trial strategies pre- and post-award.
  • Collaborates with internal stakeholders to align on data analytics requirements, capabilities, and deliverables.
  • Leads the methodology and execution of analytics such as country evaluation, competitive landscape, recruitment trends, and patient density.
  • Generates patient insights using real-world data to support effective site targeting.
  • Coordinates the collection and analysis of site outreach data to inform country and site strategy.
  • Supports strategic decision-making throughout clinical trial planning and execution using data-driven insights.

Technical Skills:

  • Minimum 2 years of experience in data analytics, clinical research, or consulting within the pharmaceutical or healthcare industries.
  • Proficient in handling large datasets such as medical claims, prescriptions, EMRs/EHRs, or similar healthcare data sources.
  • Familiar with the pharmaceutical and healthcare market, including drug development processes.
  • Preferred experience working with global teams and using business intelligence tools like Power BI or Tableau.
  • Hands-on experience with programming or scripting languages (e.g., Python, R, Spark) and relational databases (e.g., SQL Server, Oracle, PostgreSQL) is a plus.

Educational Qualification:

Bachelor's in Life Sciences, Information Technology, Computer Science, Statistics or related field

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