Senior Commercial Data Science Manager

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:

o Customer segmentation

o Brand performance reporting

o Predictive patient modeling

o Propensity score modeling

o Sentiment analysis

o Marketing Mix Modeling

o Omnichannel analytics

o Resource allocation and budget optimization

o 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
We are seeking professionals with the following required skills and qualifications to help us achieve our goals:

• 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
If you have the following characteristics, it would be a plus:

• 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.

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#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: 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.

If you require an accommodation or other assistance to apply for a job at GSK, please contact the appropriate Recruitment Staff by emailing us at - usrecruitment.adjustments@gsk.com

GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.

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