Specialist, Oncology New Products, Oncology Global Commercial Pipeline Analytics, HHDDA
Our Human Health Digital Data and Analytics (HHDDA) team is innovating how we understand our patients and their needs.
Working cross functionally we are inventing new ways of engaging, interacting with our customers and patients leveraging digital, data and analytics and measuring the impact.
The Specialist, Oncology New Products , Oncology Global Commercial Pipeline Analytics, HHDDA will be responsible for developing and delivering data and analytics, generating strategic insights, and addressing key business questions from the Global Oncology New Products Marketing team to inform current and future pipeline biomarker strategies. 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 new products and companion diagnostic priorities enabling the oncology new asset pipeline.
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:
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Portfolio analytics: Develop and synthesize commercial data and insights for cross-portfolio priorities. C onceptualize and build set of analytics capabilities and tools anchored to our marketing and launch frameworks to support decision making for Global Oncology portfolio (e.g. market and competitor landscape assessment tools, benchmark libraries).
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Analytics Delivery: Hands on analytics project delivery with expertise in data manipulation, analysis, and visualization using tools such as Excel-VBA, SQL, R, Python, PowerBI, ThoughtSpot or similar technologies and capabilities. Ability to leverage a variety of patient modeling techniques including statistical, patient-flow, and simulations-based techniques for insight generation.
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Benchmarking Analytics: Lead benchmarking analytics to collect, analyze, and translate insights into recommended business actions to inform strategic business choices.
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Stakeholder Collaboration: Partner 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.
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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:
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Bachelors degree, preferably in a scientific, engineering, or business-related field.
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Overall experience of 5+ years, with 3+ years of relevant experience in oncology commercialization, advanced analytics, bioinformatics, oncology forecasting, insights syndication, clinical development, or related roles within the pharmaceutical or biotechnology industry
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Strong problem-solving abilities, to find and execute solutions to complex or ambiguous business problems.
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Experience conducting secondary data analytics on large datasets using relevant skills and visual analytics tools e.g., excel VBA, Python coding, SQL, PowerBI
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Deep understanding of commercial Oncology data ecosystem e.g., Epidemiology datasets biomarker data, commercialization and real-world datasets
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Strategic thinker who can be consultative, collaborative and engage as equals.
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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
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Experience in Life Science or consulting industry
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Therapeutic area experience in Oncology and/or emerging oncology therapies and companion diagnostics preferred
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Advanced degree (e.g., MBA, PharmD, PhD) preferred.
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Global experience preferred
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Team management experience
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Data visualization skills (e.g. PowerBI)
