Senior Data Scientist at GSK

Upper Merion Township, Pennsylvania, United States -

Full Time

Start Date

Immediate

Expiry Date

10 Jul, 26

Salary

0.0

Posted On

11 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Artificial Intelligence, Machine Learning, Statistical Modeling, Multivariate Data Analysis, Python, R, JMP, SIMCA, Databricks, Seeq, Data Engineering, Process Optimization, Predictive Analytics, Data Visualization, GMP

Industry

Pharmaceutical Manufacturing

Description

Site Name: Upper Merion Posted Date: Apr 10 2026 The Manufacturing Science and Technology (MSAT) organization is a site-based technical team responsible for ensuring manufacturing processes are capable, compliant, and productive while maintaining product quality. The site MSAT team also drives continuous improvement of the manufacturing supply chain supported by UM Biopharm and collaborates with global MSAT to execute technology transfers and implement process-related improvement programs across the product lifecycle. The Upper Merion MSAT team is also accountable for delivering advanced data science, artificial intelligence, and analytics solutions to improve operational performance, accelerate knowledge generation, and support data-driven decision making across manufacturing and technical development. As a Data Scientist within MSAT, you will play a key role in designing, developing, and deploying data science and AI/ML solutions that enhance manufacturing operations, accelerate technology transfer, and improve product and process understanding. You will leverage advanced analytics, machine learning, and statistical modeling to extract insights from complex manufacturing, process, and quality datasets. This role requires strong collaboration with cross-functional teams including MSAT, Manufacturing, R&D, Engineering, Quality, and Digital/Tech organizations to identify opportunities where advanced analytics and AI can drive measurable business outcomes. You will translate business problems into technical solutions and support the deployment of scalable digital products that improve operational efficiency and knowledge management across the site. Key Responsibilities: Lead the development and deployment of advanced data science, statistical modeling, and machine learning solutions to support manufacturing process optimization, technology transfer, and process monitoring across the product lifecycle. Develop predictive, diagnostic, and prescriptive analytics models to analyze complex manufacturing, process, and quality datasets and generate actionable insights. Build and maintain scalable data pipelines and data engineering workflows to integrate data from manufacturing systems (e.g., MES, historians, LIMS, process sensors, and quality systems). Design and develop digital tools, dashboards, and visualization platforms to enable real-time monitoring and data-driven decision making. Apply advanced analytics and multivariate data analysis to improve process understanding, identify root causes of variability, and drive continuous improvement initiatives. Collaborate with cross-functional stakeholders (MSAT, Production, Engineering, Quality, R&D, and Digital/Tech teams) to translate business needs into technical solutions and define product requirements. Own the lifecycle of digital products, including problem definition, model development, validation, deployment, change management, and user adoption. Ensure compliance with GSK digital, data integrity, and Tech Quality Risk and Compliance policies, including model governance and validation practices appropriate for regulated environments. Evaluate and introduce emerging technologies including new machine learning frameworks, modeling platforms, and process analytical technologies to enhance manufacturing capabilities. Promote data-driven culture by supporting training, knowledge sharing, and adoption of advanced analytics across the site. Why you? Basic Qualifications: We are looking for professionals with these required skills to achieve our goals: BS in engineering or data/computer science, AI/ML, data science and related disciplines, biopharmaceutical development and/or manufacturing with 4+ years of post-graduate experience in a data science role (BS) or 2+ years (Masters) or (PhD). Expertise in multivariate data analysis (MVDA) and statistical modeling methods including PCA, PLS, latent variable modeling, multivariate statistical process control (MSPC), and design of experiments (DOE). Experience applying machine learning techniques including regression, classification, clustering, anomaly detection, and time-series modeling to complex datasets. Experience with data science and statistical analysis tools such as Python, R, JMP, and SIMCA for advanced analytics, statistical modeling, and multivariate process analysis. Experience with cloud-based and industrial analytics platforms such as Databricks and Seeq, including analysis of large-scale manufacturing and time-series process data. Experience developing full-stack data and analytics applications using Python and modern web frameworks (e.g., Flask, React, or similar technologies) to build interactive analytics tools and dashboards. Preferred Qualifications: If you have the following characteristics, it would be a plus: PhD in engineering or computer science, AI/ML, data science and related disciplines, biopharmaceutical development and/or manufacturing. Strong verbal and written communication skills particularly in technical and regulatory related matters. Able to present data science / statistical methods to non-statistical team members. Able to interact well with peers, subordinates, and senior personnel in scientific, quality, engineering and operational disciplines. Embraces a team-based culture. Knowledge of GMPs and major regulatory agency regulations, specifically as they relate to data science or data validation. #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 purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases – to impact health at scale. People and patients around the world count on the medicines and vaccines we make, so we’re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people. If you require an accommodation or other assistance to apply for a job at GSK, please contact the appropriate Recruitment Staff by emailing us at - usrecruitment.adjustments@gsk.com GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at https://openpaymentsdata.cms.gov/

Responsibilities

The Senior Data Scientist will lead the development and deployment of AI/ML and statistical solutions to optimize manufacturing processes and support technology transfers. They will also build scalable data pipelines and digital tools to enable real-time monitoring and data-driven decision-making across the site.