Associate Director, Commercial AI and Advanced Analytics

Scorpion Therapeutics; Princeton (NJ); Hybrid; USD 150,000 - 190,000; Full time

Benefits offered by this job

Flexible work setup

Job summary

Scorpion Therapeutics seeks an Associate Director, Commercial AI and Advanced Analytics to lead development and operationalization of advanced marketing measurement and decision intelligence models across pharmaceutical brands and therapeutic areas.

You will guide end-to-end Marketing Mix modeling, translate outputs into actionable insights for marketing, brand, omnichannel, and finance teams, and ensure compliance with data privacy and AI governance standards.

Qualifications

• Minimum 5 years in pharma commercial analytics with expertise in marketing mix modeling, causal inference, and advanced ML techniques, supported by an advanced degree in a quantitative field.

Responsibilities

• Lead end-to-end development of Marketing Mix models, causal analyses, and optimization techniques for brand planning and performance evaluation.
• Translate modeling outputs into actionable insights for marketing, brand, omnichannel, and finance teams with clear communication and stakeholder alignment.
• Design scalable MMx pipelines using Bayesian and other advanced methods, supporting continuous insights delivery and AI governance standards.

Skills

Marketing analytics

Causal inference

Marketing mix modeling

Advanced ML techniques

Education

Master's or PhD in a quantitative field

Tools

Python

R

SQL

Snowflake

Databricks

MLOps

Job description

Role

Associate Director, Commercial AI and Advanced Analytics, responsible for developing and operationalizing advanced marketing measurement and decision intelligence models across BMS brands and therapeutic areas.

Responsibilities

• Leading end-to-end development of Marketing Mix models, causal analyses, and optimization techniques to guide brand planning, investment, and performance evaluation.
• The role requires translating complex modeling outputs into actionable insights for marketing, brand, omnichannel, and finance teams, ensuring clear communication and stakeholder alignment.
• Key tasks involve designing scalable MMx pipelines using Bayesian and other advanced methods, supporting continuous insights delivery through agentic and always-on analytics, and maintaining compliance with data privacy and AI governance standards.

Qualifications

• Minimum 5 years in pharma commercial analytics with expertise in marketing mix modeling, causal inference, and advanced ML techniques, supported by an advanced degree in a quantitative field.

Technical skills

• Proficiency in Python/R, SQL, cloud platforms (e.g., Snowflake, Databricks), and experience with large datasets, MLOps, and model lifecycle management.

High-value biopharma specifics

• Focus on pharma data types (claims, specialty pharmacy, digital engagement), supporting brand performance, with the role operating in a highly regulated environment.

Work setup

• Flexible focus on execution and stakeholder partnership.