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Decision Science

Decision Science

ConfidentialBengaluru / Bangalore
30+ days ago
Job description

This role will be responsible for in-patient journey analysis and working with patient-level data to develop a robust solution for the client's teams. An expert in Patient Analytics who can guide and lead the team supporting pharma clients

Job Responsibilities

  • Effectively manage the client / onshore stakeholders, as per the business needs, to ensure successful business delivery.
  • Work closely with the project manager to define the algorithm, break down the problem into execution steps, and run the analysis
  • Ensure high-quality analytics solutions / reports to the client
  • Delivery role will include project scoping, solution design, execution, and communication of the analysis in the client-ready formats
  • Contribute towards Axtria tools and capabilities as per the business requirements.
  • Build organization capabilities by participating in Hackathon, solution design, and process automation
  • Effectively communicate with onshore / client (as per business needs)

Education

Bachelor of Engineering

Bachelor of Technology

Work Experience

  • Overall, 3-5years of rich experience in the Pharmaceutical / Life Sciences Domain.
  • We are looking for experts in the space of commercial pharmaceutical analytics- HCP analytics, payer analytics, and patient analytics.
  • Worked on advanced analytics in the pharma domain throughout the patient journey like the line of therapy, switch analysis, source of business, segmentation, persistence & compliance, adherence, and patient identification, etc using various data sources
  • Experience using various patient-level data like APLD,LAAD, EMR, patient registries, Prescription data, formulary data, etc
  • Strong in logical reasoning, structuring of analysis, asking the right questions, and logical approach to analyze data, problems, and situations.
  • Experience in pharmaceutical sales and marketing analytics would be preferred
  • Relevant experience in Statistical / modeling knowledge, ability to transform data to insights, good data visualization / reporting skills
  • Good to have work experience in building statistical modeling and / or AI / ML models using Python, R-Studio, PySpark, Keras, and TensorFlow.
  • Technical knowledge- R / Python / SQL. Knowledge of self-service analytics platforms such as DataiKU / KNIME / Alteryx will be an added advantage.
  • MS Excel knowledge is mandatory.
  • Skills Required

    Data Visualisation, Python, Sql

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