Senior Specialist, Oncology Global Commercial Pipeline Analytics

The team member will partner closely with multiple cross-functional teams, including global marketing, regional marketing, clinical, outcomes research, medical affairs, as well as across the depth of the HHDDA organization. Reporting to Associate Director, Oncology Global Commercial Pipeline Analytics, within HHDDA, this role will lead development of analytics capabilities for the innovative oncology pipeline in one or more of the tumor areas (eg, lung, head and neck, melanoma, women's cancers, GU, GI). The successful candidate will connect the dots across HHDDA capability functions like market research, forecasting, payer insights & analytics, data science, data strategy & solutions.

Primary Responsibilities:

• Pipeline analytics and insights: Conduct analytics and synthesize insights focused on specific tumor areas to enable launch excellence, strategic decision-making, and single source of truth on data and insights. Conceptualize and build set of analytics capabilities and tools anchored to our marketing and launch frameworks to support strategic decision-making for Global Oncology portfolio (eg market and competitor landscape assessments, commercial opportunity assessments, market maps, analytical patient and HCP journeys, benchmark libraries, performance measurement and tracking).
• Analytics Delivery: Hands-on analytics project delivery with advanced expertise in data manipulation, analysis, and visualization using tools such as Excel-VBA, SQL, R, Python, PowerBI, ThoughtSpot or similar technologies and capabilities. Leverage a variety of patient modeling techniques including statistical, patient-flow, and simulations-based techniques for insight generation.
• Benchmarking Analytics: Lead benchmarking analytics to collect, analyze, and translate insights into recommended business actions to inform strategic business choices.
• Stakeholder Collaboration: Partner effectively with global marketing teams, HHDDA teams, and other cross-functional teams to inform strategic decisions and increase commercial rigor through all phases of pipeline asset development.
• Communication and Transparency: Provide clear and synthesized communication to global marketing leaders and cross-functional teams, on commercial insights addressing the priority business questions.

Required Experience and Skills:

• Bachelor's degree, preferably in a scientific, engineering, or business-related field.
• Overall experience of 8+ years, with 4+ years of relevant experience in oncology commercialization, advanced analytics, oncology forecasting, insights syndication, clinical development, or related roles within the pharmaceutical or biotechnology industry
• Therapeutic area experience in Oncology and/or emerging oncology therapies (especially in one or more of following tumor types: gynecological, breast gastrointestinal, lung, head and neck, melanoma, prostate, RCC, bladder or other GU)
• Strong problem-solving abilities, to find and execute solutions to complex or ambiguous business problems.
• Experience conducting predictive modelling and secondary data analytics on large datasets using relevant skills (eg, Excel VBA, Python, SQL) and understanding of algorithms (such as regressions, decision trees, clustering etc)
• Deep understanding of commercial Oncology global data ecosystem eg, Epidemiology datasets, claims datasets, and real-world datasets
• Strategic thinker who is consultative, collaborative and can engage as equals.
• Confident leader who takes ownership of responsibilities, is able to work autonomously and hold self and others accountable for delivery of quality output
• Strong communication skills using effective storytelling grounded on data insights.
• Relationship-building and influencing skills with an ability to collaborate cross-functionally.
• Ability to connect dots across sources, and attention to detail

Preferred Experience and Skills:

• Experience in diverse healthcare datasets, insights, and analytics
• Experience in Life Science or consulting industry
• Advanced degree (eg, MBA, PharmD, PhD) preferred.
• Global experience preferred
• Team management experience
• Data visualization skills (eg PowerBI)

Required Skills:

Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Software Development, Stakeholder Relationship Management, Waterfall Model