Medical Unmet Needs Analytics & Effectiveness Analyst
Site Name: Philadelphia Navy Yard, USA - North Carolina - Research Triangle Park, USA - Pennsylvania - Philadelphia Posted Date: Sep 2 2021 As a Medical Unmet Needs Analytics & Effectiveness Analyst, you will analyze and measure Medical Affairs engagement effectiveness through the use of a variety of data sources and methods/advanced analytics techniques to determine how we can optimize our Medical engagement and content delivery, identify opportunities that will better address and meet customer needs and expectations, and deliver clear insight summaries with recommendations that will drive data driven decision making with the Medical Matrix Teams (MMTs), Medical engagement strategic planning, and other areas within US Medical Affairs. The Medical Unmet Needs Analytics & Effectiveness Analyst will develop advanced analytics solutions aligned with and guided by Medical business priorities and strategies that answer the most critical business questions around Medical measurement, effectiveness/impact, and optimization. This role will support the Director/lead of the team by using advanced analytics expertise to execute and complete analyses and develop recommendations for US Medical Affairs. This role will also evaluate and align US methods with Global measures and focus as appropriate for the US market sharing best practices and approaches with colleagues in Global, Commercial, and R&D. This role will provide YOU the opportunity to lead key activities to progress YOUR career. These responsibilities include some of the following: Actively contribute to the development of high quality, advanced analytics solutions and insights for the therapeutic areas (TAs) and US Medical Affairs on measurement and effectiveness/impact as well as resource effectiveness and resource allocation/ strategy adjustments; Deliver clear, actionable recommendations from the analytic applications in the areas of: Channel effectiveness, diagnostics, and performance measurement across all channels and customer types across TAs and overall US Medical Affairs Resource allocation and optimization across products and channels for the TAs Experimental design (test/control) analyses Simulation and what-if scenarios for Medical engagement strategic planning Develop, apply, and align best practice standards for measurement effectiveness and optimization analytics based on an understanding of the Medical Affairs priorities and challenges, the business model, and the healthcare environment; Develop and maintain an inventory of measures and studies for reference and benchmark comparisons Develop innovative approaches for modeling events, customer/patient knowledge, customer/patient understanding, and customer/patient behavior (as appropriate for Medical Affairs) to better isolate channel effectiveness Proactively contribute to the team with advanced analytics ideas and methods for improved and more efficient decision making with measurement, effectiveness, resource allocation, optimization, and impact for Medical Affairs Identify and proactively seek out opportunities for improved advanced analytics methods, approaches, and applications aligned with and guided by Medical priorities by researching industry trends, methods and best practices, academic/external methods applied successfully in business or Medical Affairs, and evaluating external benchmarks for competitive value Ensure advanced analytics method application excellence with attention to detail and quality check measures in place; Share best practices, demonstrate and further develop business acumen, and ensure customer focus and alignment with critical priorities when developing solutions Build advanced analytics application expertise and earn the trust of stakeholder partners through demonstrated learning, and business acumen development; Continually seek out and build business knowledge and depth for appropriate business context with analytic recommendations Partner with colleagues in Medical Analytics and Commercial Insights to ensure application of best practice research and analytics methods and to integrate insights (as appropriate) for a holistic and comprehensive product, TA, or enterprise view to influence strategic decisions for the future Demonstrate effective communication and drive efficiencies through partnership and collaboration with cross-matrix partners; Partner closely with the Medical Measurement Effectiveness and Optimization manager and demonstrate development of business understanding and the key priorities of focus Communicate clearly and simply for stakeholder understanding; Translate technical concepts into easy to understand key points and recommendations; Use storytelling approaches, simple visuals, and clear written and verbal communication to effectively share key insights that inspire usage for data driven decision making Why you? Basic Qualifications: We are looking for professionals with these required skills to achieve our goals: Bachelor's Degree 1+ year of professional, internship or co-op experience in developing solutions for business application and applying advanced analytics and statistical skills such as machine learning/AI, advanced decision trees, predictive modelling, experimental design, segmentation, clustering analysis, response modelling and optimization, and/or mix modelling analysis Must be able to travel annually 10-20% Preferred Qualifications: If you have the following characteristics, it would be a plus: Master's Degree Advanced degree in a quantitative Science field 2+ years of experience in developing solutions for business application and applying advanced analytics and statistical skills such as machine learning/AI, advanced decision trees, predictive modelling, experimental design, segmentation, clustering analysis, response modelling and optimization, and/or mix modelling analysis 2+ years of experience with statistical analysis, predictive model development, machine learning using SAS, R, Python, etc. Experience using computing services: Amazon SageMaker, Azure DataBricks, and Google Cloud AI Healthcare or life science experience Experience applying advanced statistical, analytics, and database skills to solve business problems Proficient business acumen; Knowledge of the healthcare industry and environment; Knowledge of the pharmaceutical industry Demonstrated knowledge of data manipulation methods and establishes quality check approaches to develop a deep understanding of the pharmaceutical data assets available for usage with advanced analytics methods and applications Adept at learning and applying new data, advanced analytics methods and technologies; Possess and demonstrate analytic curiosity to seek out and develop potential solutions and drive continuous improvement; motivated by challenging, complex problems Strong understanding of statistical or other advanced analytics methods appropriate for a business problem Strong communication and presentation skills (both oral and written) plus project management skills Consulting experience Effectively builds relationships and collaborative partnerships across teams to develop a solution Effective at presenting complex, technical information, concepts, and analysis in a compelling and persuasive manner to non-technical audiences The ability to focus and thrive in times of change Understanding of machine learning, supervised and unsupervised modelling techniques, and probabilistic models of complex systems with "big data" sources Experience with SQL and cloud computing as well as data visualization tools such as Tableau, Power BI, etc. Why GSK? Our values and expectations are at the heart of everything we do and form an important part of our culture. These include Patient focus, Transparency, Respect, Integrity along with Courage, Accountability, Development, and Teamwork. As GSK focuses on our values and expectations and a culture of innovation, performance, and trust, the successful candidate will demonstrate the following capabilities: Operating at pace and agile decision-making - using evidence and applying judgement to balance pace, rigour and risk Committed to delivering high quality results, overcoming challenges, focusing on what matters, execution Continuously looking for opportunities to learn, build skills and share learning. 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