Medical Campaign Analytics Manager

• 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

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, Bayesian inference

Simulation

Monte Carlos, agentic-modeling, bootstrapping, resampling, Markov chains

Business Skills

• Stakeholder communication & translation

• ability to explain modeling approaches, assumptions, and limitations to audiences without technical background
• ability to translate business questions into analytical problems, and translate analytics outputs back to business implications
• ability to tailor the message to the audience (executive vs. technical partner vs. core business)

• Methodological judgement & discernment

• • ability to understand and articulate how model outputs feed into downstream business decisions or processes
  • ability to identify the actual decision being supported and design approach around that decision
  • ability to quantify or articulate the business value or risk associated with a given approach or methodology

• Stakeholder management

• • ability to build rapport, trust, and deep partnership with medical affairs stakeholders
  • ability to provide clarity and support throughout the lifecyle of a project
  • ability to push back constructively if a request cannot be met

• Prioritization & scoping

• • ability to understand the scope and complexity of a business problem or opportunity
  • ability to design solutions that fit the size and scale of the opportunity (not over or under engineering)
  • ability to appropriately sequence work across competing priorities and demands

• Cross-functional & enterprise collaboration

• • ability to work effectively with roles outside of I&A (digital & tech, commercial, data strategy, etc.)
  • ability to prioritize outcomes that have benefits across the enterprise (not thinking only about their TA, but others in Medical, and even commercial, market access, R&D, global)
  • ability to understand the constraints and expectations cross-functional partners are working within, while maintaining clarity on the expectations and constraints of the core team and stakeholders

#LI-GSK

Skills

Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees.

Why GSK?

Uniting science, technology and talent to get ahead of disease together.

GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases – to impact health at scale.

People and patients around the world count on the medicines and vaccines we make, so we’re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.

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