At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where ,Health for all, Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice.

 

Data Scientist - Language AI 

 

We are looking for a Data Scientist to join Digital Hub Warsaw!

We are looking for a Data Scientist to strengthen our global Digital Transformation & IT – Pharma organization. The Decision Science & AI unit works with projects across the Pharma value chain, including Research & Development, Product Supply, Medical Office and Commercial, to contribute to a better health for all. We solve hard analytical problems and build solutions with the mission to improve efficiency and decision making in the company. The focus of this team lies in applications involving Language AI and patient Real World Data, but does not exclude other areas of advanced analytics. If you are interested in joining a dynamic team to industrialize bleeding edge algorithms, we would like to hear from you!

 

YOUR TASKS AND RESPONSIBILITIES:
 

Ideation and development of innovative AI and data solutions across the Pharma value chain, including Research & Development, Product Supply, Medical Office and CommercialDevelop digital products that leverage Large Language Models (LLMs), proprietary and open-source ones, in connection with internal and external data sources and agentic tools, using techniques like Retrieval Augmented Generation (RAG)Design and implement complex NLP and GenAI algorithms to extract value from large amounts of unlabeled text data (clinical notes, regulatory documents, medical literature), building and taking responsibility for end-to-end products from the notebook to production-ready code, from data cleaning to deploymentWork with complex AI codebases in Python using libraries such as LangChain, LangGraph, LlamaIndex, Docling, Unstructured, LiteLLM, LangFuse, OpenAI and FastAPI, accessing a range of IT and data architectures and cloud platforms, including serverless architectures in AWS and infrastructure as codeBe a team-player that loves to collaborate, influence, and learn from a diverse group of people, and enjoys working with a culture of respect and support to othersCollaborate with data engineers, cloud engineers, machine learning engineers, software developers, UX/UI designers, a large IT organization and business domain experts in multidisciplinary projects using agile methodologies to deliver digital products into the organization effectivelyWork in a dynamic and product-oriented mindset, understanding user needs and setting priorities to match expectations of stakeholdersIncorporate aspects of responsible use of AI and consider ethical and environmental implications from your workBe an advocate of best software development practices, including secure development principles, functional testing and documentationCommunicate effectively and present analysis and visualizations tailored to your audienceSupport data science capability building across the team and wider organization

 

WHO YOU ARE:
 

Master’s or Ph.D. in AI, Computer Science, Statistics, Mathematics, or a related fieldMinimum of 3 years industry experience (preferably pharma) or very strong academic records leading the delivery of groundbreaking machine learning projectsProficiency in Python development for data analysis and machine learning, including expertise in the common libraries and frameworks for NLP, ML and GenAIAdvanced knowledge of statistical methods and techniquesKnowledge in SQL, relational databases, and NoSQL databasesExperience in hypothesis testing, regression analysis, clustering, and classificationFamiliarity with the managed services by cloud providers (AWS, Azure, GCP) Strong analytical and problem-solving skillsAbility to evaluate assumptions and limitations of dataExcellent verbal and written communication skillsExperience working collaboratively in interdisciplinary teamsFamiliarity with agile development practices

 

  

What do We offer: 

 

A flexible, hybrid work model Great workplace in a new modern office in WarsawCareer development, 360° Feedback & Mentoring programmeWide access to professional development tools, trainings, & conferencesCompany Bonus & Reward Structure Increased tax-deductible costs for authors of copyrighted worksVIP Medical Care Package (including Dental & Mental health)Holiday allowance (“Wczasy pod gruszą”)Life & Travel InsurancePension planCo-financed sport card - FitProfitMeals Subsidy in Office Budget for Home Office Setup & MaintenanceAccess to Company Game Room equipped with table tennis, soccer table, Sony PlayStation 5 and Xbox Series X consoles setup with premium game passes, and massage chairsTailored-made support in relocation to Warsaw when neededPlease send your CV in English

 

WORK LOCATION: WARSAW AL. JEROZOLIMSKIE 158

 

  YOUR APPLICATION   

Bayer welcomes applications from all individuals, regardless of race, national origin, gender, age, physical characteristics, social origin, disability, union membership, religion, family status, pregnancy, sexual orientation, gender identity, gender expression or any unlawful criterion under applicable law. We are committed to treating all applicants fairly and avoiding discrimination.

Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below. 

Bayer offers the possibility of working in a hybrid model. We know how important work-life balance is, so our employees can work from home, from the office or combine both work environments. The possibilities of using the hybrid model are each time discussed with the manager.
Bayer respects and applies the Whistleblower Act in Poland.

     Location:Poland : Mazowieckie : Warszawa    Division:DT&IT Pharma Reference Code:839321   

 

 

Location:

Poland : Mazowieckie : Warszawa  

 

Division:

DT&IT Pharma

 

Reference Code:

839321