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GlaxoSmithKline in Poland seeks a Data Analytics & AI specialist to transform R&D master data into proactive insights. You will lead data preparation, shape dashboards, and support predictive modeling in a hybrid on-site role.
Use Python, PySpark, SQL and Power BI to deliver dashboards that monitor data quality, SLAs, and bottlenecks for the E2E Stewardship Hub, enabling faster data-driven decisions.
At GSK, we have bold ambitions for patients, aiming to positively impact the health of 2.5 billion people by the end of the decade. Our R&D focuses on discovering and delivering vaccines and medicines, combining our understanding of the immune system with cutting‑edge technology to transform people’s lives. GSK fosters a culture ambitious for patients, accountable for impact, and committed to doing the right thing, making sure that we focus our efforts on accelerating significant assets that meet patients’ needs and have the highest probability of success. We’re uniting science, technology, and talent to get ahead of disease together. Find out more: Our approach to R&D
In this role you will act as the technical engine of the Analytics & AI pillar, transforming raw R&D Master Data (Project, Product, and Substance) into proactive, actionable intelligence. Utilizing advanced Python programming and deep Power BI expertise, this role operates across a three‑sided spectrum: leading complex data preparation, architecting operational dashboards, and supporting the development of predictive AI models. The MDM Data Analyst serves as the critical link between raw system data and the "active radar" tools that empower the E2E Stewardship Hub to work faster and smarter.
Advanced Data Preparation & Analysis (Main Focus): Utilize Python/PySpark and SQL to extract, clean, and structure complex R&D master data from multiple enterprise systems (e.g., ERP, PLM, RIM). Perform deep‑drive data profiling to identify hidden anomalies, root causes of data friction, and recurring quality issues within Project, Product, and Substance domains.
Power BI Development & Visualization (Main Focus): Design, build, and deploy interactive Power BI dashboards that serve as the daily operational radar for the E2E Data Stewardship Hub and R&D business users. Write advanced DAX and Python scripts to create complex, performant data models that track data quality SLAs, turnaround times, and system bottlenecks. Translate qualitative feedback from Data Stewards and Coordinators into tangible dashboard features that actively reduce their daily manual workload.
AI Development & Deployment (Support Focus): Support AI/ML engineers by performing feature engineering, structuring training datasets, and writing Python scripts required for predictive modeling. Assist in deploying lightweight predictive algorithms (e.g., duplicate detection scripts) directly into the Power BI ecosystem or upstream data preparation layers.
Compliance & Data Governance: Ensure all analytical models, scripts, and BI dashboards adhere to enterprise data governance policies and GxP documentation standards.
This role is based in Poland and is offered on a hybrid working basis. You will be expected to work on‑site part of the week in line with team and business needs.
Basic Qualifications & Skills: At least bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Physics, Engineering, a Life Sciences discipline with a strong quantitative focus, or related field 3 to 5 years of professional experience in data analytics, BI development, or data engineering. Expert knowledge of Power BI and DAX Python, PySpark and SQL programming skills. Data Storytelling: Strong ability to translate dense, scientific data sets into highly intuitive, user‑friendly visual interfaces that drive immediate business action. Technical Translation: Ability to translate complex scientific data requirements into clear, executable technical specifications for IT developers. Analytical Problem Solving: A proactive mindset capable of looking at a messy dataset and independently figuring out how to structure it for both reporting and future machine learning. Agile Collaboration: Comfortable working in short, iterative sprints alongside AI engineers, Process Architects, and business stakeholders. Fluent English skills.
Preferred Qualifications & Skills: Experience in implementing projects & solutions using Microsoft Azure stack, especially Databricks. Knowledge of GitHub. Experience working with master data or R&D data within the Pharmaceutical, Biotech, or Vaccines industry. Industry Knowledge: Strong understanding of pharmaceutical data standards, GxP regulations, and ideally exposure to ISO IDMP frameworks. Fluency in Polish language.
Polish Salary Range / Polski przedział wynagrodzenia: PLN 228,000 to PLN 380,000 The annual gross base salary range for new hires in this position is listed above for each applicable location. These ranges take into account a number of factors including the candidate’s skills, experience, education level and the market rate for the role. In addition, this position may offer an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. More detailed information on the total benefits package will be supplied during the recruitment process.
As an Inclusive employer, we encourage you to reach out if you need any adjustments during the recruitment process. Please contact our Recruitment Team at pl.recruitment-adjustments@gsk.com to discuss your needs.
Unifying 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. GSK is an Equal Opportunity Employer.
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.
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We are 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 organization where people can thrive. Getting ahead means preventing disease as well as treating it, and we aim to impact the health of 2.5 billion people around the world in the next 10 years. 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. Find out more on our career site.