GSK is looking to lead a healthcare revolution through disruptive approaches in R&D and commercial business processes, and the Data & Analytics team integrates, simplifies, and unlocks all data to drive innovation, decision-making, and better serve patients, healthcare professionals, and consumers
Requirements
- Proficiency in analytics tools/languages such as SQL, Python, PySpark, and visualization tools
- Proficiency in statistical and ML models
- 1+ years’ professional experience with analytics tools/languages and visualization tools
- 1+ years’ experience applying analytics and statistical skills in a business setting
- Enthusiasm for leveraging Real World Data
- Analytic curiosity to develop innovative solutions to solve complex problems
- Familiarity with healthcare-related datasets, such as claims data (e.g., Express Scripts, CVS Caremark, IQVIA), pharma retail data, co-administration analysis, and buy-and-bill processes
Responsibilities
- Develop and deliver high quality, machine learning solutions to uncover learnings for the US Anti-Infective business at the patient, HCP/EE segment, and health system level aligned with analytical priorities for: Segmentation, Measurement, Omnichannel, Resource Allocation and Optimization, Experimental design (test/control) analyses
- Understand data science opportunities, based on analytical knowledge, needed to deliver innovative solutions to uncover drivers of gaps in scientific understanding and patient unmet needs to improve strategic opportunities
- Act as a data science expert, by learning and contributing to GSKs’ data science community to grow their data skill skills, build best practices, and grow data science literacy within the organization
- Establish and define project plans, proactively seek inputs needed to complete results according to plan and deliver milestones according to plan
- Collaborate on cross-matrix teams and demonstrate subject matter expertise with other teams/functions to drive efficiencies and seamless decision making
- Use storytelling, powerful visualizations to demonstrate power of utilizing data science with business partners and analytics team members which enable fact-based recommendations that inspire usage for data driven decisions
- Earn the trust of stakeholder partners to drive data-driven decisions through active engagement, advanced analytics expertise, demonstrated learning, and business knowledge
Other
- Bachelor's degree with 3+ yrs of Industry experience, master's or PhD with 1+ yrs of Industry experience
- Effective communicator w/ strong business acumen knowledge
- Understanding of business needs and ability to develop appropriate solutions
- Demonstrate teamwork and strong collaborative partnerships
- US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license
