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Associate Director, Advanced Analytics, US Specialty Care

Cambridge, MA💼 Full-time💰 $148,500–$148,500🗓 2026-05-22 → 2026-07-30

Core

Analytics lead for US Specialty Care portfolio responsible for predictive analytics, marketing effectiveness measurement, and budget optimization across multiple therapeutic areas.

Role type

Senior IC advanced analytics manager (marketing mix modeling & predictive modeling)

Builds

Marketing mix models, predictive/prescriptive insights, dashboards, and analytical tools for commercial teams

Domain

Biopharma / Healthcare / Specialty Care

Deliverable

production ML models | dashboards & analysis | client delivery

Required skills

Marketing Mix Modeling (MMM), machine learning (logistic regression, GBM, XGBoost), statistical modeling (propensity score matching, Bayesian statistics), SQL, Python, R, SAS, data visualization (PowerBI, Tableau), leadership of offshore teams, cross-functional stakeholder management

Preferred skills

MBA, Data Science/AI certification, experience with Claude Code/Cursor, experience in Oncology/Hematology/Rheumatology/Immunology, media platform reporting tools (CM360, Search Ads 360), site analytics (Google Analytics, Adobe Analytics), CRM systems (Veeva, Salesforce)

Technologies

Snowflake, Jupyter Notebook, SAS Studio, SQL developers, IQVIA, Symphony, Komodo, Veeva, Salesforce, Merkle, Capgemini, CM360, Search Ads 360, Meta Business Manager, Google Analytics, Adobe Analytics, PowerBI, Tableau, Excel, PowerPoint, Word, Cursor, Claude Code

Responsibilities

Partner with Senior Leadership and Brand teams to provide strategic analytical guidance; lead a team in an offshore hub to build advanced analytics capabilities; collaborate with Data Management and global digital teams to ensure data quality and infrastructure; validate salesforce execution and media data accuracy; assess media investment scenarios using optimizer tools; conduct Turing impact analysis; lead upskilling efforts and workshops for brand and media teams; apply data science techniques to generate predictive and prescriptive insights; clean and aggregate data from disparate sources; design and execute analyses of large healthcare datasets; create dashboards and analytical tools; automate work processes using AI tools; provide overarching project direction for analytical frameworks; lead Marketing Mix Modeling (MMM) analyses from data preparation to insights delivery; liaise with Data Science and Data Engineering teams for model development; socialize project outputs with business stakeholders

Seniority

Senior, hands-on IC with team leadership

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