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Director, Pipeline Analytics

Insmed Incorporated
Remote
United States
$177,000 - $242,000 USD yearly
Marketing

Role Summary

Director, Pipeline Analytics on the Commercial Effectiveness team to develop analytics-driven insights that inform commercial strategies for pipeline assets. This hands-on role involves data manipulation, analytics, and narrative development to drive action across cross-functional teams, leveraging real-world data and advanced modeling to shape patient journey insights, segmentation, targeting, and launch optimization.

Responsibilities

  • Go-to-Market & Launch Analytics
    • Build market opportunity assessments that incorporate epidemiology, treatment flows, and payer dynamics to shape launch strategies
    • Lead patient journey analysis using APLD and real-world data to identify opportunities and barriers to adoption
    • Develop robust claims data-based patient and HCP market maps
    • Develop physician, institution, and patient segmentation models to guide targeting strategies
  • Commercial Planning
    • Collaborate with clinical and forecasting teams to translate patient journey insights and outcomes into robust commercial forecasts with scenario planning
    • Integrate payer landscape analyses into GTM scenarios to anticipate access hurdles and contracting impacts
    • Partner with Field Strategy & Operations to align targeting/segmentation outputs with field force sizing, structure, and call plans
  • Advanced Data & Methods
    • Apply advanced analytics techniques and drive innovative use of APLD, claims, EMR, and patient-level datasets to strengthen commercial insights
  • Cross-Functional Collaboration
    • Partner with Marketing to shape product positioning strategies based on analytics-driven insights
    • Work with Market Access to model pricing, reimbursement, and payer adoption scenarios
    • Serve as the analytics subject matter expert in cross-functional teams and governance bodies

Qualifications

  • Required: Bachelor’s degree plus 7 years of commercial experience in pharma/biotech
  • Required: Extensive knowledge of pharmaceutical data (sales, specialty pharmacy, payer, promotional & marketing data, longitudinal patient-level data)
  • Required: Experience with commercialization of pharmaceutical products
  • Required: Strong blend of technical proficiency, business acumen, and experience informing business decisions with data
  • Required: Deep expertise with APLD and real-world data (claims, EMR, patient-level), including patient journey and treatment flow analyses
  • Required: Experience within the US market (experience with global markets beneficial)
  • Required: Excellent communication skills and ability to influence without authority
  • Required: Solid understanding and expertise in conducting analyses with actionable insights
  • Required: Proficient in working with distributed teams in a matrix environment and able to work autonomously
  • Required: Technical proficiency in analytics tools (SQL, Python, R, SAS, or similar)
  • Required: Ability to utilize different data sets (marketing data, sales, claims, access) in building models to answer key business questions
  • Required: Strong verbal and written communication skills
  • Required: Highly organized with attention to detail, clarity, accuracy, and conciseness
  • Required: Proficient in Microsoft Office (Word, Excel, PowerPoint, Outlook)
  • Preferred: Degree in data science, Health Economics, Statistics, Marketing Analytics, or related quantitative field
  • Preferred: MBA, MS or other advanced degree
  • Preferred: Rare disease / specialty / respiratory experience

Skills

  • Analytical thinking and storytelling with data
  • Ability to influence cross-functionally and drive action
  • Proficiency with distributed teams in a matrix environment
  • Strong data system literacy across claims, EMR, APLD, and other real-world data sources
  • Proficiency in SQL, Python, R, SAS, or equivalent analytics tools

Education

  • Degree in data science, Health Economics, Statistics, Marketing Analytics, or related quantitative field (preferred)
  • MBA, MS or other advanced degree (preferred)

Additional Requirements

  • Location: Fully remote role; occasional travel for team meetings or events expected
  • Travel Requirements: Occasional domestic travel (approximately 5%–15%)
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