Forecasting Strategy Director – Demand & Revenue

Alnylam Pharmaceuticals, Inc.

Cambridge, Northern (MA, KY)

Hybrid

USD 150,000 - 210,000

Full time

7 days ago
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Job summary

Alnylam Pharmaceuticals, Inc. in Cambridge, MA seeks an Associate Director to lead Demand and Revenue Forecasting for the US TTR Franchise. Hybrid role based in Cambridge, MA, with responsibilities to develop and oversee comprehensive forecasting models and strategies.

The ideal candidate has 8-10+ years of biotech forecasting experience, knowledge of oncology or complex therapies, and proficiency with IQVIA/Symphony/MMIT data and BI tools (Power BI/Tableau/SQL/R).

Qualifications

  • Bachelor’s degree in Engineering, Economics, Statistics, Mathematics, or a related field.
  • 8-10+ years of pharmaceutical or biotechnology forecasting experience.
  • Experience in specialty, oncology, or other complex therapeutic areas.
  • Experience supporting product launch forecasting.
  • Experience using IQVIA, Symphony, MMIT, or similar industry data sources.
  • Familiarity with data visualization and analytics platforms such as Power BI, Tableau, SQL, or R.

Responsibilities

  • Develop and oversee forecasting models for Demand and Revenue.
  • Develop robust forecasting assumptions related to market dynamics and pricing.
  • Monitor market dynamics, competitor performance, and payer trends.
  • Drive forecasting innovation through advanced analytics and automation.
  • Collaborate with cross-functional teams to align forecasts.
  • Present insights to senior executives and cross-functional leadership.

Skills

Forecasting
Leadership
Data analysis

Education

Bachelor’s degree in Engineering, Economics, Statistics, Mathematics, or related field
MBA, MS, PhD or other advanced degree preferred

Tools

IQVIA
Symphony
MMIT
Power BI
Tableau
SQL
R

Job description

Alnylam Pharmaceuticals, Inc. in Cambridge, MA seeks an Associate Director to lead Demand and Revenue Forecasting for the US TTR Franchise. Hybrid role based in Cambridge, MA, with responsibilities to develop and oversee comprehensive forecasting models and strategies.

The ideal candidate has 8-10+ years of biotech forecasting experience, knowledge of oncology or complex therapies, and proficiency with IQVIA/Symphony/MMIT data and BI tools (Power BI/Tableau/SQL/R).

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