Remote Pharma Forecasting Expert & Launch Strategist

Weekday AI

United States

Remote

USD 179,000 - 289,000

Full time

14 days+
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Job summary

Weekday AI seeks experienced pharma forecasting professionals to support an expert human-evaluation project focused on commercial drugs and development programs. You will craft structured rubrics and critique drug-launch uptake, market penetration, and peak-share assumptions.

Ideal candidates have hands-on experience in pharma commercial strategy, forecasting, analytics, or sales, and can translate launches into real-world market performance with clear, evidence-based reasoning.

Qualifications

  • 5+ years of pharma forecasting, analytics, or strategy experience.
  • Experience in pharma sales, forecasting, analytics, or launch planning.
  • Familiarity with pharma development programs and market dynamics.
  • Ability to critique forecasts with supporting evidence.

Responsibilities

  • Create and critique objective rubrics for evaluating commercial drugs and programs.
  • Build, review, and pressure-test drug launch curves and uptake trajectories.
  • Evaluate realism of forecasting assumptions with evidence.
  • Assess analogs, launch ramps, peak sales, competitive dynamics, and LOE factors.
  • Identify overly optimistic or unsupported assumptions in forecasts.
  • Apply forecasting expertise across launches and therapeutic areas.
  • Provide clear, evidence-based reasoning for conclusions and recommendations.

Skills

Pharma forecasting
Analytics
Commercial strategy
Written communication
Launch planning

Job description

Weekday AI seeks experienced pharma forecasting professionals to support an expert human-evaluation project focused on commercial drugs and development programs. You will craft structured rubrics and critique drug-launch uptake, market penetration, and peak-share assumptions.

Ideal candidates have hands-on experience in pharma commercial strategy, forecasting, analytics, or sales, and can translate launches into real-world market performance with clear, evidence-based reasoning.

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