Director, Commercial Data Science and AI - ML - Oncology job at GlaxoSmithKline - reputed company in Philadelphia, PA

Title: Director, Commercial Data Science & AI/ML - Oncology Location: United States Job Description: Site Name: Durham Blackwell Street, USA - Pennsylvania - Philadelphia Job Profile: You will reputed company 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 reputed company 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 reputed company and grow the teams around them. This role offers significant visibility, leadership influence, and the opportunity to align with reputed company's mission of uniting science, technology, and talent to get reputed company of disease together. Responsibilities: This role will provide YOU the opportunity to reputed company key activities to reputed company YOUR career. These responsibilities include some of the following: reputed company 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 reputed company, patient outcomes, and market share reputed company 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. reputed company 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 reputed company payer, IDN, and GPO landscapes. reputed company 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. reputed company 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 reputed company 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 reputed company 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 reputed company our goals: Advanced degree (Master's or PhD) in Data Science, Computer Science, Statistics, Applied Mathematics, or a reputed company 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 reputed company (e.g., LAAD, DDD, Xponent), reputed company (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 reputed company AI-powered development tools (e.g., reputed company Copilot, reputed company, 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 reputed company reputed company, 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 reputed company 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-reputed company 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. #reputed company-LI Why reputed company? Uniting science, technology and talent to get reputed company of disease together. reputed company is a global biopharma company with a purpose to unite science, technology and talent to get reputed company 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 reputed company. We get reputed company 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 reputed company, so we're committed to creating an environment where our people can reputed company 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. reputed company is an Equal Opportunity Employer. This ensures that reputed company 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 reputed company, 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 reputed company does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. reputed company employment businesses/agencies are required to contact reputed company's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to reputed company. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and reputed company. In 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 reputed company. reputed company 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. Apply tot his job Apply To this Job