GSK is one of the world's preeminent pharmaceutical and healthcare companies. We take pride in leading a healthcare revolution. Through disruptive approaches in R&D and commercial business processes, our Data & Analytics team integrates, simplifies, and unlocks all our data. This drives innovation, decision-making, and allows us to better serve our patients, healthcare professionals, and consumers.

Responsibilities:

• Member of Data Science Center of Excellence team to develop, document, and articulate statistical modeling techniques, inclusive of data caveats and model training performed, in support of best-in-class modeling approaches for key business questions across the enterprise to ensure consistency of methodologies.

• Develop and test out new analytic approaches and tools to enhance existing data science capabilities (e.g. marketing mix modeling, test/control, omnichannel next-best action analytics, subnational alerts, etc) and continuously improve business insights development across our US enterprise business.

• Guide vendors on various projects and ensuring robustness of modeling outputs and a standardized approaches to analytic processes in the development of MVPs for future enterprise scaling.

• Collaborate and partner effectively with various stakeholders across the enterprise, including Commercial Insights, Finance and Marketing teams, offshore team members, to support the creation of AI/ML approaches to answer senior management business queries.

• Create presentations and communicate results/findings to internal stakeholders

Why You?

Basic Qualifications:

• Bachelor's degree in computer science, statistics, mathematics, operations research/management, business analytics, or engineering

• 4+ years of experience in commercial analytics.

• 4+ years of experience in developing product-level ML algorithms.

• Experience creating production-level Python & SQL models.

Preferred Qualifications:

• Master's degree in computer science or a related field, with 4+ years of experience in healthcare-related commercial analytics.

• Superior technical and problem-solving skills, with in-depth knowledge of various statistical modeling techniques and their application within complex analytical projects, e.g promotion response modeling/ROI, regression modeling, optimization, machine learning techniques, and Test-control analysis, etc.

• Strong written and verbal communication skills.

• Strong understanding of promotional impact assessment approaches and ability to translate analytic results into actionable insights/recommendations.

• Experience with pharma data sources including promotional data (HCP and consumer), Xponent, DDD, Patient level data.

• Experience with Data Visualization tools, and Apache Spark.

• Linear and non-linear optimization modeling expertise along with R, Python, and SQL coding experience preferred.

• Ability to work independently and prioritize effectively.

• Experience in managing stakeholders and offshore teams, strong execution ability to run and manage end-to-end analytical projects and deliver meaningful insights and actionable recommendations.

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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 special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology).

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