# Medical Campaign Analytics Manager at GSK

GSK is hiring a Medical Campaign Analytics Manager for a remote role open to applicants in United States. Level rates it Little AI ●○○○; you can [apply on GSK](https://jobsbylevel.com/go/102f279e-594b-481d-aeec-97383fcb475f?utm_medium=ai-agent).

AI Level 1, AI centrality 21 out of 100. Remote (Durham Blackwell Street).

## Details

- Company: [GSK](https://jobsbylevel.com/companies/gsk)
- AI level: AI Level 1 (score 21 out of 100)
- Location: Remote (Durham Blackwell Street)
- Posted: November 10, 2026
- Apply: https://jobsbylevel.com/go/102f279e-594b-481d-aeec-97383fcb475f?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=medical-campaign-analytics-manager-at-gsk-14c629

## Prepare for this job

The job page lists 2 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/medical-campaign-analytics-manager-at-gsk-14c629

## Description

The Medical Campaign Analytics Manager is the dedicated analytics partner for their aligned therapeutic area, embedded closely enough in the medical teams to understand their business, goals, and execution in detail. Success looks like becoming the advisor the MCST, Field S&O, Medical Directors, and MALs bring their questions to early, while a decision is still being shaped, with a track record that earns trust in what this role recommends and builds. Campaign execution throws off constant signal, engagement, channel performance, funnel movement, that's mostly noise until someone turns it into a point of view on whether it's working, whether it's the right kind of effort, and what should change next. That guidance sometimes takes the form of a recommendation backed by evidence, and sometimes takes the form of a model or tool built or leveraged to answer the question directly: scoped with the stakeholder, then built, validated, documented, deployed, and taught to them so they can use it themselves for in-the-moment decisions. Either way, the aim is a clear, standing read on the TA's execution, and tools built with enough reuse in mind that other campaigns, Therapeutic Areas, or teams can pick them up rather than start from scratch. This work runs on a mix of independence and partnership: developing/maintaining analytics models and making tactical and measurement recommendations based on expert interpretation and analysis, while leaning on partners within medical analytics, Commercial I&A, Digital & Tech, and Global Medical to connect to the bigger picture and stay consistent with what's working elsewhere in the enterprise. Key Responsibilities Recommend appropriate metrics and KPIs for medical campaigns with targets that are ambitious but achievable, in partnership with MCST, Field S&O, Medical Directors, and MALs Evaluate past campaign performance to inform investment decisions: whether to run a campaign type again, and what to change if so Compare campaign options head-to-head 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 sit in their educational journey based on available signals Identify ways Field can use engagement signals across channels to inform who 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 appropriately share best-practices and approaches Build and maintain close working relationships with MCSTs, Field S&O, Medical Directors, and MALs within the assigned TA Background Basic Qualifications Required: BA/BS - Data Science, Data Analytics, or related field Minimum of 3 years in stakeholder-facing analytics role Strongly preferred qualifications 5-10 years in analytics roles 2+ years technical project leadership 2+ years engaging directly with business stakeholders 2+ years working with Medical Affairs 2+ years multichannel/omnichannel campaign analytics Preferred: MA/MS - Data Science, Data Analytics, or related field Preferred technical skills · Python development (functions, classes, model training & validation) · SQL, including complex, multi-part queries Working fluency in back-end software development concepts and vocabulary, enough to engage credibly with engineering & platform architecture partners · Agentic AI frameworks & architecture · Modeling & data science experience-- should span multiple categories above rather than deep expertise in a single technique. Examples may include: Predictive modeling ex: linear & logistic regression, decision trees, random forest, SVMs, KNN, time-series, neural nets Natural Language Processing ex: LDA, TF-IDF, Transformers, LSTMs, Word2Vec, RAG Causal modelingex: A/B tests, propensity scoring, regression, uplifts,

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/medical-campaign-analytics-manager-at-gsk-14c629

Source: https://jobsbylevel.com/jobs/medical-campaign-analytics-manager-at-gsk-14c629

## Cite this page

Level. https://jobsbylevel.com/jobs/medical-campaign-analytics-manager-at-gsk-14c629.

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