In GSK Medical Affairs, we focus on communicating the science behind our diseases and medicines to help patients, clinicians and healthcare systems make better informed decisions that beneficially impact patients’ lives.  Patients are at the center of everything that we do, and our objective is to ensure our patients are optimally treated.  To be competitive and deliver the most value, we need to move faster and with more agility and ground all our decisions in data and insights. 

The Medical Analytics team you would be joining is a growing team within Medical Affairs, and we are building innovative and industry leading analytical capabilities for GSK Medical Affairs. We are a very agile team, focused on developing new machine learning algorithms and AI solutions to drive our Medical strategy and tactics; that ultimately improve patient lives.  Data literacy is a very important to GSK and the Medical Affairs organization, and our business partners are committed to embedding analytics to inform internal decisions.  Come join our team on this journey and be a part of a team that is embracing and embedding data, digital and analytics findings into the Oncology Medical organization!

Job Purpose:

As a GSK Data Scientist you will have the opportunity to grow your data scientists skills by analysing a variety of disparate data sources (including structured and unstructured data ) and build innovative machine learning algorithms to uncover powerful analytic findings at a customer level that drive data-driven decision making for Oncology Medical Affairs strategic planning and execution.  GSK has many different developmental programs to help you continue to grow your data science skills and professional career aspirations, as well as a Data Science manager you will have the opportunity to indirectly lead, coach and mentor the broader data science community.

This role spans customer types, products, and diseases within the Oncology business with a responsibility of prioritizing work aligned with the critical strategic priorities for emending analytics into Oncology Medical Affairs making.  The individual in this role will actively collaborate with Medical Affairs leaders, Commercial, R&D and Global colleagues through appropriate partnerships and forums to influence opportunities for medicine development.

Key Responsibilities:

• Develops and delivers high quality, machine learning solutions to uncover learnings for the US Oncology Medical Affairs at the patient, HCP/EE segment, and health system level aligned with priorities for:
  • Segmentation
  • Measurement
  • Omnichannel
  • Resource Allocation and Optimization
  • Experimental design (test/control) analyses
• Proactively seek data science opportunities, based on strong business acumen and 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 leader, by mentoring, and coaching GSKs’ data science community to grow their data skill skills, build best practices, grow data science literacy within the organization and inspire individuals career potential
• Establish and defines project plans, delivers milestones according to plan and proactively seeks inputs needed to complete results need I a timely manner.

• Collaborate on cross-matrix teams as well as influence across varying levels of leadership, by demonstrating subject matter leadership 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 senior leaders; to enable fact-based recommendations that inspire usage for data driven decisions.

Why you?

Basic Qualifications:

• BA/BS in applied quantitative sciences discipline.
• 2+ years’ experience applying analytics and statistical skills in a business setting.  
• 2+ years professional experience with analytics tools/languages and visualization tools
• Experience and skills with advanced machine learning/AI tools and approaches.

Preferred Qualifications:

If you have the following characteristics, it would be a plus:

• Enthusiasm on leveraging Real World Data
• Analytic curiosity to develop innovative solutions to solve complex problems.
• Effective communicator w/ strong business acumen
• Anticipate business needs and develop appropriate solutions.
• Demonstrate teamwork and strong collaborative partnerships.

#LI-GSK

Please visit  GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees.

Why GSK?

Uniting science, technology and talent to get ahead of disease together.

GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology).

Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together.

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