Senior Data Scientist

About Us:

GSK is one of the world's pre-eminent pharmaceutical and healthcare companies. We take pride in leading a healthcare revolution. Through disruptive approaches in R&D and commercial business processes, our Decision Science & AI team applies advanced capabilities to drive innovation, augment decision making, and allows us to better serve our patients, healthcare professionals, and consumers.

We are seeking a highly skilled and experienced Senior Data Scientist to join our team to help support the US Specialty Business Unit.  If you are passionate about leveraging advanced analytics and predictive modeling to drive better patient outcomes and support strategic decision-making in the healthcare sector, we encourage you to apply.

Responsibilities

• Patient-Level Data Analysis: Work hands-on with anonymized patient-level data (APLD) and prescriber/account level datasets (e.g. Xponent, Drug Distribution Data) to extract insights, ensuring data quality and integrity while integrating data from diverse healthcare sources.

• Cohort Identification & Tracking: Develop and refine business rules to identify eligible patient/prescriber cohorts and implement methodologies for longitudinal tracking of these cohorts over time.

• Predictive Modeling:

  • Develop prescriber/patient look-a-like models to support targeting and sizing exercises.

  • Develop promotional response, clustering/segmentation models to evaluate effectiveness of strategic decisions.

  • Build, test, and deploy time series forecasting models to predict trends in HCP prescribing patterns.   

• Model Documentation & Knowledge Sharing: Maintain thorough documentation of data analysis processes, model development, and insights. Develop clear presentations and reports to effectively communicate findings to team members.

• Cross-Functional Collaboration: Partner with data engineers, Insights & Analytics teams, and external stakeholders to align analytical solutions with organizational goals. Support ad-hoc analytical requests and contribute to strategic data initiatives.

• Analytical Reporting & Dashboarding: Create and maintain dynamic dashboards and reports in traditional BI tools (e.g. Power BI, Tableau) and GenAI driven tools (e.g. Databricks Genie) to translate complex data findings into actionable business insights for commercial stakeholders.

• Innovation & Continuous Improvement: Explore and evaluate emerging analytical techniques, including GenAI capabilities where applicable, to enhance existing methodologies and drive innovation in patient analytics.

Basic Qualifications

• Experience: 4-7 years of experience in pharmaceutical analytics or a related domain, with a strong focus on patient-level data analysis.

• Education: Bachelor’s degree in Engineering, Statistics, Mathematics, Computer Science, or a related quantitative field.

• Technical Proficiency:

  • Proficiency in programming languages and data analysis tools such as Python, R, PySpark, and SQL.

  • Solid experience in developing predictive modeling techniques (look-a-like models, time series forecasting, regression, clustering)

  • Proven ability to design, implement, and refine business rules for the identification and tracking of patient cohorts within claims databases.

  • Familiarity with working in Azure cloud environment, using distributed compute for large datasets, and version control tools (e.g. Git)

• Data Proficiency: Expertise in handling large-scale pharmaceutical datasets (e.g., Anonymized patient level data - APLD) and applying statistical and machine learning methods to drive actionable insights.

• Data Storytelling & Communication: Demonstrated ability to translate complex data insights into clear, compelling narratives and presentations. Adept at communicating technical findings in a relatable manner to non-technical stakeholders.

• Autonomy & Prioritization: Proven ability to work independently, manage multiple projects/workstreams, and prioritize effectively in a fast-paced, data-driven environment.

• Problem-Solving & Collaboration: Demonstrated ability to troubleshoot complex data issues, optimize system performance, and work effectively within a team environment.

Preferred Qualifications

• Machine Learning & MLOps: Basic understanding of machine learning workflows and experience with ML pipelines or MLOps practices is a plus.

• Advanced Modeling Experience: Hands-on experience in developing advanced machine learning models using deep learning techniques/architectures (e.g. CNNs, Transformers, LSTMs) and associated frameworks (e.g. Keras, PyTorch, TensorFlow) is a plus. 

• Data Visualization & Reporting: Exposure to traditional visualization/reporting tools (e.g., Power BI, Tableau) and GenAI tools (e.g. Databricks Genie) to support data-driven decision-making is beneficial, but not a primary focus. 

• Industry Certifications: Professional certifications in Data Science or related fields are advantageous.

Inclusion & Diversity at GSK:

At GSK, we are dedicated to fostering an inclusive and diverse work environment. We believe that diversity in our workforce drives innovation and growth, and we are committed to providing equal opportunities for all employees and applicants. We strive to create an atmosphere where all individual’s unique perspectives and experiences are valued and respected. All qualified applicants will receive equal consideration for employment without regard to their sex or gender, caste, pregnancy, gender identity/expression, physical and/or mental disability, or any other protected characteristic as per applicable law.

As an employer committed to Diversity and Inclusion, we encourage you to reach out if you need any adjustments during the recruitment process. Please contact our Recruitment Team at IN.recruitment-adjustments@gsk.com to discuss your needs.

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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