Job
- Level
- Experienced
- Job Field
- Software, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- 86.200 to 104.700€ Gross/Year
- Location
- Berlin
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you develop scalable data solutions for R&D teams, implement ETL processes, and analyze large datasets to generate valuable insights for research.
Job Technologies
Your role in the team
- You develop and implement scalable semantic data solutions for global R&D teams using data engineering, ETL processes, big data analytics, and NLP pipelines in collaboration with internal and external partners.
- You establish and optimize sustainable, efficient, and scalable data processes as well as semantic data processing applications. In doing so, you identify technical gaps and help significantly shorten the time from data collection to insight generation.
- You analyze, assemble, and maintain large unstructured scientific datasets and prepare them for various analysis and business processes using fit-for-purpose, interoperable data flow systems.
- You support the analysis of large, complex data sets to generate actionable insights for research and development—for example using GUIs, scientific workflows, machine learning, or advanced analytics.
- You contribute to the optimization of internal R&D processes through automation and advanced data analytics.
- You work closely with data scientists and data engineers to ensure data quality and algorithmic quality within central semantic platforms.
- You act as a subject-matter expert for the integration of large-scale semantic data products into central R&D systems and cultivate a strong internal and external scientific network to ensure capability excellence.
- You actively promote the adoption of data-driven analytics and collaborate closely with experimental colleagues in a dynamic environment with flat hierarchies and self-organized teams.
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Our expectations of you
Education
- You hold a Master's degree in computer science, bioinformatics, cheminformatics, or a comparable field with several years of professional experience, or a PhD with 1-2 years of experience in life science applications, ideally in the pharmaceutical industry.
Qualifications
- You have expert proficiency in data engineering and in integrating heterogeneous data sources.
- You have expert proficiency in big data technologies and advanced analytics methods for processing large and unstructured datasets.
- You have a good understanding of pharmaceutical R&D processes and the ability to quickly learn biological, chemical, or medical concepts.
- You are a team-oriented and interdisciplinary professional with strong communication, networking, and problem-solving skills, have a passion for data engineering, and speak fluent English.
Experience
- You have practical experience with SQL and NoSQL databases (e.g., Elasticsearch, Neo4J, PostgreSQL).
- You have programming skills in Python and/or Java and experience with REST APIs, JSON, and XML.
- You have experience with information extraction using NLP and large language models and large language models in hyper-scalable Lambda architectures.
- You have experience with cloud platforms (e.g., AWS or Azure) and version control systems.
- You have knowledge of data architecture, data modeling, data asset management, linked data concepts, and ontologies/taxonomies; ideally you also have experience with data quality, data cleaning, and user-centered design.
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What we offer
- Our benefits package is flexible, appreciative, and tailored to your lifestyle, because: What matters to you, matters to us!
- We ensure your financial stability with a competitive salary between €86,200 and €104,700 per year (full-time) plus a variable component. Your compensation is based on your qualifications, skills, and professional experience.
- Whether it's hybrid work models or part-time arrangements: Whenever it is possible, you will have the flexibility to work how, when and where it is best for you.
- Your family is a top priority. We offer loving company daycare centers at multiple locations, support in finding childcare, time off for the care of elderly or dependent family members, summer camps for children, and much more.
- We support your professional growth by providing access to learning and development opportunities, training programs through the Bayer Learning Academy, development dialogues, as well as coaching and mentoring programs.
- We promote health awareness and opportunities for self-care through various measures, such as free health checks with the company doctor.
- We embrace diversity by providing an inclusive work environment in which you are welcomed, supported, and encouraged to bring your whole self to work.
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Benefits
Work-Life-Integration
Health, Fitness & Fun
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Topics that you deal with on the job
Job Locations
This is your employer
Bayer AG
Bayer AG is a globally active company with core competencies in the life science fields of health and nutrition. We develop our products and services for the benefit of people and the planet, and are committed to addressing the global challenges of a constantly growing and aging world population.
Description
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Pharmaceutical Sector, Chemical Industry, Biotech
Scientific Data Engineer
- Salary
- 86.200 to 104.700€ Gross/Year
- Location
- Berlin
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
