
Data-Driven Decision Maker
3 days ago
Primary Responsibilities:
- Develop Commercial Insights Solutions: Utilize deep data-driven analytics to support decision-making for the pharma pipeline and business development.
- Stakeholder Collaboration: Partner with global marketing teams, operations, and clinical departments to inform strategic reviews and increase commercial rigor through all phases of pipeline asset development.
- Communication and Transparency: Provide global marketing teams and governance committees with transparency and commercial insights on pipeline portfolio topics related to market dynamics, competitive insights, patient journeys, access considerations, and others.
- Analytics and Benchmarking: Lead benchmarking analytics to collect, analyze, and translate insights into recommended business actions to inform pipeline development choices. Provide critical insights to leaders for communication on human health portfolio, early pipeline commercial forecasts, and related business drivers.
- Analytics Delivery: Deliver hands-on analytics project results with expertise in data manipulation, analysis, and visualization using tools like Excel-VBA, SQL, R, Python, PowerBI, ThoughtSpot, or similar technologies and capabilities. Leverage various patient modeling techniques, including statistical, patient-flow, and simulations-based techniques, for insight generation.
Required Experience and Skills:
- Bachelor's degree in a scientific, engineering, or business-related field.
- 3+ years of overall experience and 2+ years of relevant experience in marketing, clinical development, commercial/advanced analytics, asset portfolio management, strategic planning, insights syndication, or related roles within the pharmaceutical or biotechnology industry.
- Strong problem-solving abilities to find and execute solutions to complex or ambiguous business problems.
- Experience conducting secondary data analytics on large datasets using relevant skills, such as Excel VBA, Python, SQL.
- Deep understanding and hands-on exposure in pharma commercial data ecosystems, including epidemiology datasets, biomarker data, commercialization, and real-world datasets.
- Experience in envisioning, architecting, and developing data-driven tools/dashboards using visualization tools, such as PowerBI.
- Exposure in building patient analytics and patient journeys from commercial and real-world datasets (e.g., e-LAAD, Symphony, Optum, MarketScan).
- Strategic thinker who can be consultative and engage as equals.
- Strong communication skills using effective storytelling grounded on data insights.
- Ability to execute solution approaches to complex and ambiguous business problems.
- Strong communication and presentation skills, with the ability to effectively communicate complex concepts to both internal and external stakeholders.
- Relationship-building and influencing skills with an ability to collaborate cross-functionally.
Preferred Experience and Skills:
- Experience in healthcare data, insights, and analytics.
- Experience in the Life Science or consulting industry.
- Advanced degree, such as an MBA, PharmD, or PhD, preferred.
- Therapeutic area experience in infectious diseases/HIV, immunology, cardio-metabolic, and/or ophthalmology diseases preferred.
- Global experience preferred.
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