Director, Commercial Data Science & AIML — Oncology

Job Profile:

You will lead high-impact data science and AI/ML initiatives that drive commercial strategy across our Oncology portfolio spanning solid tumors and hematology. Working closely with commercial medical market access and technology teams you will transform complex oncology data into actionable insights that shape go-to-market decisions optimize HCP engagement and accelerate patient access.

We value strategic thinkers who can operate at the intersection of advanced analytics and the unique commercial complexities of the oncology landscape and who inspire and grow the teams around them. This role offers significant visibility leadership influence and the opportunity to align with GSKs mission of uniting science technology and talent to get ahead of disease together.

Responsibilities:

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

• Lead the design development and delivery of advanced predictive models and AI/ML solutions that support commercial decisions across the Oncology portfolio including launch readiness tumor market segmentation promotional response and end-to-end patient journey analytics across solid tumors and hematology indications.
• Partner with Commercial Market Access Medical Affairs and Marketing teams to translate business questions into analytical plans with measurable impact on revenue patient outcomes and market share within highly competitive oncology markets.
• Build validate and operationalize end-to-end machine learning workflows from data ingestion and feature engineering through model deployment monitoring and performance tracking leveraging oncology commercial data assets such as claims EMR specialty pharmacy and oncology-specific registries.
• Develop and apply AI/ML methods to oncology-specific commercial challenges including HCP targeting and segmentation by tumor type and treatment line biosimilar and competitive entry modeling patient identification and treatment gap analysis and access barrier identification across complex payer IDN and GPO landscapes.
• Lead sophisticated market access analytics including payer mix modeling formulary coverage impact analysis net price optimization and prior authorization burden quantification specific to oncology reimbursement dynamics.
• Lead and mentor a team of data scientists and analysts setting technical standards fostering reproducible and responsible AI practices and building a high-performing collaborative team culture.
• Communicate complex analytical findings clearly and persuasively to senior commercial and medical leaders enabling evidence-based decisions on strategy investment and resource allocation in the oncology business unit.
• Champion the adoption of modern AI/ML tools GenAI applications and scalable data infrastructure to continuously elevate the commercial analytics capability across the oncology organization.
• Collaborate with IT Data Engineering and external vendors to ensure data quality governance and compliance with relevant privacy and regulatory standards (e.g. HIPAA GDPR FDA promotional guidelines).

Why You

Working Model:

This role is hybrid with an expectation to be on-site as needed for collaboration and team interactions. Exact hybrid schedule will be discussed during the hiring process.

Basic Qualifications:

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

• Advanced degree (Masters or PhD) in Data Science Computer Science Statistics Applied Mathematics or a related quantitative field.
• 10 years of hands-on experience in applied data science machine learning or statistical modeling with at least 3 years in a pharmaceutical or biotech commercial setting focused on oncology.
• Demonstrated experience working with oncology commercial data assets including IQVIA (e.g. LAAD DDD Xponent) Optum (e.g. Clinformatics claims data) Symphony Health or similar syndicated and patient-level data sources with the ability to assess data quality coverage and appropriate use cases for each.
• Strong programming skills in Python or R experience with relevant ML libraries (e.g. scikit-learn TensorFlow PyTorch XGBoost) and demonstrated ability to leverage AI-powered development tools (e.g. GitHub Copilot Cursor or LLM-based coding agents) to accelerate and enhance programming workflows.
• Experience deploying models and building end-to-end ML pipelines using cloud platforms (AWS Azure or GCP) or containerized services.
• Proven ability to lead complex cross-functional commercial analytics projects and influence senior stakeholders in a matrixed oncology organization.
• Excellent written and verbal communication skills with the ability to translate complex analytical outputs into clear commercial recommendations for oncology business leaders.

Preferred Qualifications:

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

• PhD in a quantitative life science health economics or oncology-related discipline.
• Deep therapeutic area expertise in oncology with working knowledge of both solid tumor (e.g. lung breast colorectal GU) and hematology (e.g. lymphoma leukemia myeloma) commercial landscapes.
• Experience modeling biosimilar or competitive entry dynamics in oncology including price erosion formulary switching and account-level impact forecasting.
• Familiarity with NLP or large language models applied to oncology commercial use cases such as call note analysis HCP sentiment mining tumor board insights extraction or medical affairs literature synthesis.
• Experience with MLOps practices including feature stores model governance frameworks and automated monitoring in a regulated pharmaceutical environment.
• Track record of building and developing high-performing data science teams in a global commercial pharma environment.
• Knowledge of oncology-specific compliance frameworks governing commercial data use including HIPAA PhRMA Code and FDA promotional guidelines for oncology products.

#GSK-LI

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 were 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.

Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us at where you can also request a call.

Please note should your inquiry not relate to adjustments we will not be able to support you through these channels. However we have created a Recruitment FAQ guide. Click the link where you will find answers to multiple questions we receive

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.

Important notice to Employment businesses/ Agencies

GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSKs commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.

Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license GSK may be required to capture and report expenses GSK incurs on your behalf in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSKs compliance to all federal and state US Transparency requirements. For more information please visit the Centers for Medicare and Medicaid Services (CMS) website at Experience:

Director