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

Position Summary:
In this role you will act as the technical engine of the Analytics & AI pillar. The primary purpose of the role is to leverage AI to automate R&D Master Data (Project, Product and Substance) related processes, and predictive analytics to derive insights from data. The role also requires analyzing data, drawing appropriate conclusions and deriving insights. This role acts as the bridge between our team and Tech, ensuring to anchor our requirements into reality, and feasibility.

Responsibilities:

• 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) and perform necessary transformations

Perform deep-dive data profiling to identify hidden anomalies, root causes of data friction, and recurring quality issues within Project, Product, and Substance domains.

• AI Development & Analysis (Main Focus):

Performing feature engineering, structuring training datasets, and writing Python scripts required for the development of AI PoCs.

Gather business requirements, perform analysis of requirements, translate them into technical requirements.

Assist in deploying lightweight predictive algorithms (e.g., duplicate detection scripts) directly into the Power BI ecosystem or through upstream data preparation layers

• Development & Visualization (Support Focus):

Assist in designing, building, and deploying interactive Power BI dashboards that serve as the daily operational radar for the E2E Data Stewardship Hub and R&D business leaders.

Translate qualitative feedback from Data Stewards and Coordinators into tangible dashboard features that actively reduce their daily manual workload.

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.
• Ability to support MDM Experts: Ensure ability and capacity to perform the tasks of the MDM experts to support when needed, but also to lead the automation of these tasks with greater precision and independence.

Why You?

Work arrangement: 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, with proven experience in implementing AI solutions
• Experience in implementing projects & solutions using Microsoft Azure stack, must have are Databricks
• Python, PySpark and SQL programming skills
• Technical Translation: Ability to translate complex scientific data requirements into clear, executable technical specifications for IT developers.
• Knowledge of GitHub
• 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 with implementing GenAI solutions in Databricks
• Experience with Langchain
• 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

Skills

Artificial Intelligence (AI), Computational Sciences, Computer Programming, Data Analysis, Data Management, Data Modeling, Data Science, Predictive Modeling, Statistical Models

 

 

Polish Salary Range / Polski przedział wynagrodzenia: PLN 228,000 to PLN 380,000The 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. This role is available for applicants from multiple locations, and therefore salary ranges for certain locations are also shown. Salary ranges for other locations are shown because some markets have pay transparency laws that require salary information on job postings, and those locations are potential job sites for this role. If salary ranges are not displayed in the job posting for a specific location or country, the relevant compensation will be discussed during the recruitment process. Please note salaries vary by country based on the candidate’s skills, experience, education level and the market rate for the role. Offers are typically made within the advertised range based on the candidate’s skills, experience and qualifications, with the upper end generally reserved for highly experienced candidates or other exceptional circumstances aligned with these criteria.Roczny przedział wynagrodzenia zasadniczego brutto dla nowo zatrudnionych osób na tym stanowisku został wskazany powyżej dla każdej właściwej lokalizacji. Przedziały te uwzględniają szereg czynników, w tym umiejętności kandydata, doświadczenie, poziom wykształcenia oraz rynkowy poziom wynagrodzenia dla tego stanowiska W zależności od stanowiska i obowiązujących polityk wewnętrznych, rola ta może również uprawniać do otrzymania premii (jeśli ma zastosowanie i jest przyznawana na podstawie określonych, obiektywnych kryteriów) oraz/lub nagród za wyjątkowe wyniki (przyznawanych według uznania pracodawcy). Wszystkie świadczenia ustawowe będą zapewnione zgodnie z przepisami prawa polskiego. Mogą być także oferowane dodatkowe benefity, takie jak prywatna opieka medyczna, dodatkowe płatne dni wolne, ubezpieczenie na życie, prywatny plan emerytalny oraz w pełni płatny urlop rodzicielski i urlop na opiekę nad członkiem rodziny. Bardziej szczegółowe informacje na temat całkowitego pakietu wynagrodzenia i świadczeń przypisanego do tego stanowiska zostaną przekazane podczas procesu rekrutacyjnego. Przedziały wynagrodzenia dla innych krajów mogą być również widoczne, ponieważ na niektórych rynkach obowiązują przepisy dotyczące jawności wynagrodzeń, które wymagają zamieszczania takich informacji w ogłoszeniach o pracę, a wskazane lokalizacje mogą stanowić potencjalne miejsce wykonywania tej roli. Jeśli przedział wynagrodzenia nie jest podany w ogłoszeniu dla konkretnej lokalizacji lub kraju, odpowiednie informacje o wynagrodzeniu zostaną omówione w trakcie procesu rekrutacyjnego. Prosimy pamiętać, że poziom wynagrodzenia różni się w zależności od kraju i jest ustalany na podstawie umiejętności, doświadczenia, poziomu wykształcenia oraz rynkowego poziomu wynagrodzenia dla danego stanowiska. Oferty są zazwyczaj przedstawiane w granicach wskazanego przedziału, z uwzględnieniem umiejętności, doświadczenia i kwalifikacji kandydata, przy czym górna granica jest zwykle zarezerwowana dla kandydatów o bardzo dużym doświadczeniu lub w innych wyjątkowych okolicznościach zgodnych z tymi kryteriami.

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.

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.

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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