Consultant, CAR-T Thearpy

KMK Consulting, Inc.

$110K — $130K *
Pharmaceuticals & Biotech
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Approximately 4 years of experience in pharmaceutical analytics.
  • Experience supporting CAR-T cell therapy analytics and oncology workflows.
  • Strong technical proficiency in SQL and Python.
  • Hands-on experience with IQVIA, Komodo, and Symphony Health datasets.
  • Experience developing dashboards and statistical models (Tableau/Power BI implied).
  • Strong communication skills with the ability to simplify complex data for business audiences.

Responsibilities

  • Lead end-to-end commercial analytics engagements, delivering patient, prescriber, and market insights for top pharma brands.
  • Conduct patient journey, adherence, persistence, and line-of-therapy analyses using claims and EHR data.
  • Build automated dashboards and statistical models to support commercial decision-making and brand strategy.
  • Support targeting and segmentation frameworks to optimize field deployment and enhance HCP engagement.
  • Track brand performance, launch readiness, KPIs, competitor activity, and promotional effectiveness.
  • Integrate external datasets (IQVIA, Komodo, Symphony) with internal CRM and marketing data to deliver cross-channel insights.

Benefits

  • Opportunity to work on cutting-edge CAR-T cell therapy analytics.
  • Engagement with top pharmaceutical brands.
  • Collaborative environment with cross-functional teams including marketing, sales, and medical.
  • Focus on generating insights that drive impactful brand strategies.
  • Utilization of advanced analytics tools like SQL, Python, Tableau, and Power BI.
Full Job Description
Role Focus
We are seeking a data and analytics professional with strong experience in patient and commercial analytics within the pharmaceutical industry, with CAR-T cell therapy analytics experience. The role will support end-to-end analytics delivery across oncology and other key therapeutic areas, generating insights that drive brand strategy, field effectiveness, and commercial performance.
Key Responsibilities

  • Lead end-to-end commercial analytics engagements, delivering patient, prescriber, and market insights for top pharma brands.
  • Conduct patient journey, adherence, persistence, and line-of-therapy analyses using claims and EHR data.
  • Build automated dashboards and statistical models to support commercial decision-making and brand strategy.
  • Support targeting and segmentation frameworks to optimize field deployment and enhance HCP engagement.
  • Track brand performance, launch readiness, KPIs, competitor activity, and promotional effectiveness.
  • Integrate external datasets (IQVIA, Komodo, Symphony) with internal CRM and marketing data to deliver cross-channel insights.
Analytics Expertise
  • Claims and EHR data analytics (EHR exposure; no direct EMR experience).
  • Patient journey, adherence, persistence, and initiation barrier analytics.
  • Commercial analytics including prescriber insights, market trends, and brand performance tracking.
  • Statistical modeling and dashboard development to support commercial strategy
Collaborations
  • Partner with marketing, sales, medical, and market access teams to translate analytics into actionable business recommendations.
  • Collaborate with commercial leadership to support campaign optimization and resource allocation.
  • Work cross-functionally to design targeting, segmentation, and field deployment strategies.
  • Engage with internal analytics teams and external partners to ensure alignment and quality of deliverables.
Qualifications
  • Approximately 4 years of experience in pharmaceutical analytics.
  • Experience supporting CAR-T cell therapy analytics and oncology workflows
  • Strong technical proficiency in SQL and Python.
  • Hands-on experience with IQVIA, Komodo, and Symphony Health datasets.
  • Experience developing dashboards and statistical models (Tableau/Power BI implied).
  • Strong communication skills with the ability to simplify complex data for business audiences.

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