GSK is a leading global biopharmaceutical company committed to uniting science, technology, and talent to get ahead of disease together. Our mission is to positively impact the health of billions of people by preventing and treating diseases through innovative vaccines, specialty medicines, and advanced data technologies. We focus on four core therapeutic areas: infectious diseases, HIV, respiratory/immunology, and oncology.
At GSK, we believe in fostering an inclusive and diverse workplace where employees can thrive, innovate, and grow. Our Insights & Analytics team plays a pivotal role in driving data-driven decision-making, enabling us to better serve patients, healthcare professionals, and consumers.
Key Responsibilities:
- Develop queries and frameworks to generate replicable outputs for medication adherence, source of business, co-morbidity index, patient pathways, and other patient attributes using secondary patient and provider claims data (e.g., Xponent, LAAD).
- Apply statistical methods such as Cluster Analysis and predictive modeling to create differentiated customer segments.
- Identify and quantify trend shifts in patient-centric metrics using business acumen.
- Build statistical and machine learning models to predict events like the likelihood to switch.
- Maintain clear and thorough documentation in notebooks.
- Support ad-hoc analytical deliverables.
- Develop PowerPoint presentations to document major projects and enable knowledge transfer.
- Collaborate with team members to identify opportunities for process enhancement.
- Manage stakeholder expectations through timely communication and transparency.
Required Qualifications:
- Education: Bachelor’s degree in Engineering, Statistics, or a comparable quantitative field.
- Experience: 4 to 8 years of overall experience, with 4+ years in pharmaceutical analytics.
- Technical Skills: Proficiency in Python and SQL.
- Domain Knowledge: Expertise in US Pharma databases (Xponent, Anonymized Patient Longitudinal Data, LAAD) and experience working with patient claims data.
- Soft Skills: Ability to work independently, prioritize effectively, and mentor team members as needed.
Preferred Qualifications:
- 4+ years of experience in developing machine learning models.
- Familiarity with emerging GenAI capabilities.
- Strong written and oral communication skills.
- Certification in Data Science.
Inclusion & Diversity at GSK:
At GSK, we are committed to fostering an inclusive and diverse work environment. We believe that diversity drives innovation and growth, and we strive to create a workplace where all individuals feel valued, respected, and empowered to bring their authentic selves to work.
We encourage applicants from all backgrounds to apply and welcome any adjustments needed during the recruitment process. If you require assistance, please contact our Recruitment Team at IN.recruitment-adjustments@gsk.com.
Why Join GSK?
- Purpose-Driven Work: Contribute to our mission of uniting science, technology, and talent to get ahead of disease together.
- Innovative Environment: Work with cutting-edge technologies and data-driven approaches to solve complex healthcare challenges.
- Career Growth: Thrive in a supportive environment that encourages continuous learning and professional development.
- Inclusive Culture: Be part of a diverse and inclusive workplace where your unique perspectives are valued.
How to Apply:
If you are passionate about leveraging data science to make a meaningful impact in healthcare, we encourage you to apply before the deadline on March 8, 2025.
