R&D Data Operations

Bayer AG; Espoo; On-site; EUR 55,000 - 90,000; Full time

Job summary

Bayer AG is seeking a professional for an R&D Data Operations substitute role based in Espoo, Finland. You will drive data governance, apply FAIR principles, and translate needs into practical data and analytics solutions for Pharmaceutical Research.

You will collaborate with cross-functional partners to ensure data quality, accessibility, and regulatory usability while supporting scientific innovation and decision-making.

Qualifications

• Experience in data curation within scientific or research environments.
• Strong understanding of data architectures, metadata models, and semantic technologies.

Responsibilities

• Define and maintain data generation and curation standards.
• Analyse datasets and interdependencies to support decisions on data access and governance.
• Advance Bayer’s digital transformation by promoting data-driven ways of working across R&D.

Skills

Data governance

Data curation

Master data management

Data architectures

Semantic technologies

Automated workflows

English fluency

Education

Master’s degree/PhD in Natural Sciences or related

Job description

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.

Are you ready to shape R&D data excellence by ensuring Bayer’s research data is high-quality, reliable and compliant? We’re looking for a professional to R&D Data Operations position for a 12-month substitute role based in Espoo (Finland).

You will drive data governance across Pharmaceutical Research by establishing policies and data dictionaries, monitoring practices, resolving data issues, and promoting effective data use. As a link between technical teams and business units, you will help turn data into a strategic asset that supports innovation and better patient outcomes.

You will advance data quality across Pharmaceutical Research by applying FAIR principles to make research data accessible, reliable, and impactful. Combining strategic, analytical, and technical expertise, you will strengthen governance and improve project data usability. Working with business partners, you will translate requirements into practical data and analytics solutions, enhance data foundations, support better decisions, and accelerate scientific innovation.

YOUR TASKS AND RESPONSIBILITIES

• Define and maintain data generation and curation standards, empowering users to apply them effectively in their daily work


• Analyse existing datasets and their interdependencies to support informed decisions on data access, governance, and data usage


• Advance Bayer’s digital transformation by promoting data‑driven ways of working across R&D and strengthening data governance practices


• Understand laboratory data management requirements and develop solutions that make research data FAIR, accessible, reusable, and fit for scientific and regulatory purposes


• Support the design and implementation of automated solutions and workflows that improve efficiency, streamline data processing, and enhance data quality


• Lead the development and rollout of research project information solutions, ensuring business requirements are translated into practical, sustainable outcomes


• Collaborate with cross‑functional stakeholders to define information requirements and drive continuous improvements in data quality, usability, and decision‑readiness


• Strengthen the data foundations that enable informed, data‑driven decision‑making and accelerate scientific innovation across Pharmaceutical Research

WHO YOU ARE

• Experience in data curation within scientific or research environments, including data stewardship, data governance, and master data management, supported by a Master’s degree/PhD in Natural Sciences, Bioinformatics, Cheminformatics, or a related discipline;


• Strong understanding of data architectures, metadata models, and semantic technologies, and ability to apply them to solve complex data challenges in R&D settings;


• Proven capability to design and implement automated workflows that improve the efficiency, reliability, and quality of data processing;


• Strong analytical mindset and quality focus, with the ability to improve processes and communicate complex data concepts in a clear, practical way to diverse stakeholders;


• Structured and detail‑oriented working style, reliable project management skills, and demonstrated ability to collaborate effectively with cross‑functional teams while navigating ambiguity;


• Ability to quickly learn new concepts and bridge business, scientific, and technical perspectives to create impactful data and analytics solutions;


• Fluency in English, both written and spoken.

FOR MORE INFORMATION

Reach out to Luiz Giorgiani, Head Clinical Data Management 2, Oct 27 between 15–16 (Eastern European Time) and Nov 3 between 16–17 (Eastern European Time), mobile [phone].

We look forward to receiving your application by November 5, 2026 at the latest.

Functional area: Research

Seniority level: Professional

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