Medical Campaign Analytics Manager

GSK•Durham, CA

About The Position

The Medical Campaign Analytics Manager is the dedicated analytics partner for an assigned therapeutic area, working closely with medical teams to understand their business, goals, and campaign execution. The role advises MCST, Field S&O, Medical Directors, and MALs early in decision-making, using trusted recommendations and analytics to guide campaign execution. The position interprets engagement, channel performance, and funnel data to assess whether campaigns are working, whether effort is well directed, and what should change. It may provide evidence-backed recommendations or scope, build, validate, document, deploy, and teach stakeholders how to use models and tools for decisions. The role aims to establish a clear ongoing view of therapeutic-area execution and develop reusable tools that other campaigns, therapeutic areas, and teams can adopt. The work combines independent development and maintenance of analytics models with tactical and measurement recommendations, alongside collaboration with medical analytics, Commercial I&A, Digital & Tech, and Global Medical partners to connect work to broader enterprise practices.

Requirements

BA/BS in Data Science, Data Analytics, or a related field.
At least 3 years in a stakeholder-facing analytics role.
Ability to explain modeling approaches, assumptions, and limitations to audiences without a technical background.
Ability to translate business questions into analytical problems and analytics outputs into business implications.
Ability to tailor communication to executive, technical-partner, and core-business audiences.
Methodological judgment, including understanding how model outputs feed into business decisions and processes.
Ability to identify the decision being supported and design an analytical approach around it.
Ability to articulate or quantify business value or risk associated with an approach or methodology.
Ability to build rapport, trust, and deep partnerships with Medical Affairs stakeholders; provide project clarity and support; and push back constructively when requests cannot be met.
Ability to scope business problems, design appropriately scaled solutions, and sequence competing priorities.
Ability to collaborate effectively with cross-functional partners outside I&A, including Digital & Tech, Commercial, and Data Strategy.
Ability to consider enterprise-wide outcomes and understand cross-functional partners’ constraints and expectations.

Nice To Haves

5–10 years in analytics roles.
At least 2 years of technical project leadership.
At least 2 years engaging directly with business stakeholders.
At least 2 years working with Medical Affairs.
At least 2 years in multichannel or omnichannel campaign analytics.
MA/MS in Data Science, Data Analytics, or a related field.
Python development experience, including functions, classes, model training, and validation.
SQL skills, including complex, multi-part queries.
Working fluency in back-end software development concepts and vocabulary sufficient to engage with engineering and platform architecture partners.
Experience with agentic AI frameworks and architecture.
Modeling and data science experience across multiple categories, such as predictive modeling, natural language processing, causal modeling, and simulation.
Experience with methods such as regression, decision trees, random forests, SVMs, KNN, time series, neural networks, LDA, TF-IDF, Transformers, LSTMs, Word2Vec, RAG, A/B testing, propensity scoring, uplift modeling, Bayesian inference, Monte Carlo methods, agentic modeling, bootstrapping, resampling, or Markov chains.

Responsibilities

Recommend appropriate metrics and KPIs for medical campaigns, including ambitious but achievable targets, in partnership with MCST, Field S&O, Medical Directors, and MALs.
Evaluate past campaign performance to inform investment decisions, including whether to repeat a campaign type and what to change.
Compare campaign options and advise stakeholders on which approach is more likely to perform.
Diagnose bottlenecks and drop-off points in the customer journey or medical educational funnel.
Assess where individual customers are in their educational journey based on available signals.
Identify ways for Field teams to use engagement signals across channels to inform whom to engage and how.
Partner with the Insights team to connect execution KPIs to the customer insights that explain them.
Partner with the MUN Analytics team to connect early execution indicators to ultimate patient impact.
Partner with Commercial I&A counterparts to share best practices and approaches appropriately.
Build and maintain close working relationships with MCSTs, Field S&O, Medical Directors, and MALs within the assigned therapeutic area.
Develop and maintain analytics models and make tactical and measurement recommendations based on expert interpretation and analysis.
Scope, build, validate, document, deploy, and teach stakeholders how to use models or tools when appropriate.
Collaborate with medical analytics, Commercial I&A, Digital & Tech, and Global Medical partners to align with broader enterprise practices.