Senior Commercial Data Science Manager

GlaxoSmithKline plc; United States; On-site; USD 150,000 - 210,000; Full time

Job summary

GlaxoSmithKline plc (GSK) in the United States seeks a senior data science leader to guide a small team of data scientists and engineers.

You will develop and deploy analytics using AI/ML and statistical models to uncover business insights for the US commercial oncology portfolio, covering patient, HCP, and health-system analytics. The role emphasizes stakeholder engagement, CI/CD automation, and cross-functional collaboration to drive data-driven decisions.

Qualifications

• Master's or PhD in statistics, mathematics, engineering or related analytical field.
• 5+ years of experience applying analytics and statistical skills in a business setting.
• 3+ years of professional experience with analytics tools/languages and visualization tools.
• Experience in analytics tools/languages such as SQL, Python, PySpark, and visualization tools.
• Experience working in cloud compute environments and Databricks or Snowflake data platforms.
• Experience in coding statistical and ML models.
• Experience with developing and deploying AI agentic processes.
• Proactively identify areas for analysis, including the potential application for machine learning, and contribute to problem-solving.

Responsibilities

• Lead a team of 2-4 data scientists and engineers.
• Develop and deliver analytics using AI/ML and statistical models to uncover business insights.
• Collaborate with cross-functional partners to progress analytical priorities in US oncology.
• Develop, deploy, maintain and monitor data analytics automation in enterprise data platforms within CI/CD.
• Build agent-based AI tools to support analytics automation and visualize insights for business decisions.
• Lead storytelling and visualizations to demonstrate the impact of data science on business outcomes.

Skills

Leadership

Team management

Data science

AI/ML

Python

SQL

Databricks

Education

Master's degree in statistics

PhD in a quantitative field

Tools

Databricks

Snowflake

Power BI

Job description

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.

This role will provide you the opportunity to lead key activities to progress your career. These responsibilities include some of the following:

Manage a team of 2-4 data scientist and engineers.

Develop and deliver high quality, analytics and insights using AI/ML and statistical models to uncover business learnings for the US commercial oncology business at the patient, HCP, and health system level aligned with analytical priorities for:

• Customer segmentation
• Brand performance reporting
• Predictive patient modeling
• Propensity score modeling
• Sentiment analysis
• Marketing Mix Modeling
• Omnichannel analytics
• Resource allocation and budget optimization
• Experimental design (test/control) analyses

Develop, deploy, maintain and monitor data analytics automation in enterprise data platforms with9n a CI/CD framework

Work with commercial business reporting owners in developing agent-based AI tools to support analytics automation, delivery and visualization of insights and business focused interrogation of data.

Understand data science opportunities, based on analytical knowledge, needed to deliver innovative solutions to uncover drivers of gaps in understanding of patient unmet needs and HCP prescribing patterns to improve strategic opportunities.

Act as a data science expert, by learning and contributing to GSK's data science community to grow their data skills, build best practices, and grow data science literacy within the organization

Earn the trust of stakeholder partners to drive data-driven decisions through active engagement, advanced analytics expertise, demonstrated learning, and business knowledge.

Establish and define project plans, proactively seek inputs needed to complete results according to plan and deliver milestones according to plan.

Collaborate on cross-matrix teams and demonstrate subject matter expertise with other teams/functions to drive e]iciencies and seamless decision making.

Use storytelling, powerful visualizations to demonstrate power of utilizing data science with business partners and analytics team members which enable fact-based recommendations that inspire usage for data driven decisions

Why You?

Basic Qualification

• Master's or PhD in statistics, mathematics, engineering or related analytical field
• 5+ years of experience applying analytics and statistical skills in a business setting
• 3+ years of professional experience with analytics tools/languages and visualization tools
• Experience in analytics tools/languages such as SQL, Python, PySpark, and visualization tools
• Experience working in working in cloud compute environments and Databricks or Snowflake data platforms.
• Experience in coding statistical and ML models
• Experience with developing and deploying AI agentic processes
• Proactively identify areas for analysis, including the potential application for machine learning, and contribute to problem-solving.

Preferred Qualification

• Enthusiasm for leveraging Real World Data
• Analytical curiosity to develop innovative solutions to solve complex problems.
• Effective communicator with strong business acumen knowledge
• Understanding of business needs and ability to develop appropriate solutions
• Demonstrate teamwork and strong collaborative partnerships
• Familiarity with healthcare-related datasets, such as claims data (e.g., IQVIA, Komodo Health),
• Experience with modeling treatment line of therapy, patient journey analysis, and HCP prioritization.

#Li-GSK

#AGTech

Skills

• Algorithms
• Data Assessment
• Data Cleansing
• Data Preprocessing
• Exploratory Data Analysis (EDA)
• Feature Engineering
• Hypothesis Testing
• Mathematics Modeling
• Model Evaluation
• Predictive Modeling
• Probabilistic Modeling
• Reliability Engineering
• Statistical Analysis
• Statistical Analysis Techniques
• Statistical Significance Testing

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: