Obesity Forecasting, Associate Director

Scorpion Therapeutics; Thousand Oaks (CA); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Comprehensive benefits (medical/dental

Annual bonus

Stock-based long-term incentives

Flexible work models

Job summary

Scorpion Therapeutics in Thousand Oaks, CA seeks an Associate Director of Obesity Forecasting to lead forecasting and analytics initiatives. You will collaborate with forecasting, insights, marketing, finance, and value teams to drive data-driven decisions and strategic plans.

You will develop obesity forecast models, handle ad-hoc requests, and present findings to senior leadership. Strong SQL/SAS/R, Tableau, and Excel skills are required, with proven project management and cross-functional

Qualifications

• Doctorate plus 3+ years analytics/forecasting
• Master’s plus 5 years in analytics/forecasting
• Bachelor’s plus 7 years in analytics/forecasting
• Associate’s plus 12 years in analytics/forecasting
• High school/GED plus 14 years in analytics/forecasting

Responsibilities

• Provide objective, rigorous forecasting viewpoints across functions.
• Lead development of obesity forecasts and ad-hoc requests.
• Analyze product performance vs. expectations (revenue, market size, penetration).
• Use datasets (Xponent, NPA, LAAD, 852) to justify forecast assumptions.
• Support QBRS, Situation Analysis, and Brand Plan with data-driven insights.
• Coordinate with marketing/finance for analytics inputs and assumptions.
• Define SLAs for forecasting/analytics deliverables.
• Independently lead quick-turnaround projects with limited guidance.
• Manage projects, timelines, and stakeholder/vendor relationships.
• Deliver clear communications and presentations using PowerPoint/Excel.

Skills

Forecasting analytics

Cross-functional leadership

Project management

Communication

Education

Doctorate +3

Master's +5

Bachelor's +7

Associate's +12

High school/GED +14

Tools

SQL

SAS

R

Tableau

Excel

Forecast Pro

Job description

Obesity Forecasting, Associate Director

Responsibilities

• Provide an objective, rigorous point of view for demand forecasting and product performance in collaboration with forecasting/insights, marketing, finance, value & access, and other functions.
• Lead development of obesity forecasts and ad-hoc forecasting requests.
• Analyze product performance vs. expectations (e.g., revenue potential, sales coverage, market size, penetration).
• Use internal/external datasets (e.g., Xponent, NPA, LAAD, 852) to develop and explain forecast assumptions.
• Support Quarterly Business Review, Situation Analysis, and Brand Plan with objective, data-driven insights.
• Coordinate with marketing and finance to develop analytics/forecasting inputs and assumptions.
• Work with team clients to define service level agreements for forecasting/analytics requirements and deliverables.
• Independently lead quick-turnaround projects and deliver quality assessments with limited guidance.
• Manage projects, prioritize, and execute timelines; manage relationships with internal stakeholders and external vendors.
• Deliver strong communication and presentations; use MS PowerPoint and Excel.

Basic Qualifications

• Doctorate + 3 years analytics and/or forecasting
• Master’s + 5 years
• Bachelor’s + 7 years
• Associate’s + 12 years
• High school/GED + 14 years

Preferred Qualifications

• 8+ years forecasting/market research/business analytics
• Advanced spreadsheets; patient-based forecast modeling (dynamic patient models) and Forecast Pro
• SQL; experience with SAS or R
• Tableau marketing analytics
• Knowledge of forecasting inputs/structure, access & reimbursement, competitive landscape
• Strong communication/presentation; strategic thinking; project management; client service orientation; collaboration
• Biopharma industry/databases knowledge; forecasting in biopharma/healthcare

Benefits (Total Rewards Plan)

• Comprehensive benefits (medical/dental/vision, life/disability, retirement/savings with company contributions, flexible spending)
• Annual bonus/incentive (role-dependent), stock-based long-term incentives, time off, flexible work models (where possible).