Associate Director, Master Data Management, Pharmaceutical Formulation

Poland - Warsaw

AstraZeneca

AstraZeneca is a global, science-led biopharmaceutical business and our innovative medicines are used by millions of patients worldwide.

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Be empowered to be innovative and creative where difference is valued

Would you like to be a part of a Data Science & Artificial Intelligence (DS&AI) group that has direct strategic impact on drug development, playing a key role in getting medicines to patients?  

At AstraZeneca, we are constantly pushing the boundaries of science to deliver life-changing medicines to patients, with a real passion for discovery and a pipeline to show for it. Here, you’ll have the opportunity to make a difference in people’s lives every single day. 

AstraZeneca is investing in data management and analysis capabilities, through its long-term Growth Through Innovation Strategy.  The DS&AI team collaborates across R&D to drive innovation through data science and AI. Together we seek to:

  • Improve our understanding of disease and uncover new targets 
  • Transform R&D processes 
  • Speed the design and delivery of new medicines for patients  

This is the place that’s investing in the latest technology, data and innovative ways of working. Here you’ll be backed with everything you need to be at the forefront of digitising our organisation. Whether that’s working on the leading-edge, defining the future of Pharma or upskilling yourself in our Digital and Data Academy.


The R&D Data Office, within DS&AI, is a key organization to deliver upon AstraZeneca’s strategy. Data Office operates a central capability, with R&D wide accountability, to ensure that we harness the power of data to drive innovative science. Data Office will govern data, drive data quality and ensure our data is readied for analytics, creating paved-paths for scientists to perform data-driven research, without compromising our legal restrictions or ethical principles.


Within Data Office, you will work in the Reference and Master Data team. The team owns the development, deployment and subsequent oversight of the end-to-end process of stewarding, curating and provisioning quality Reference and Master data. Our mission is to support R&D users with the highest quality of Reference and Master Data within the rigor of the appropriate compliance framework.


Associate Director, MDM Pharmaceutical Formulation performs an oversight of business as usual Master Data Stewardship services in the area of Pharmaceutical Formulation as well as deeply involved in MDM projects of various nature, like new MDM entities implementations or considerable improvements and changes to already implemented entities. Please note this is not IT and technical role, we are looking for a scientist and expert in the area of Drug Product Formulation.

Essential Requirements:

  • Expertise in Drug Product Formulation: Look for candidates with a strong background and expertise in drug product formulation, including knowledge of pharmaceutical formulation development, process optimization, and the ability to troubleshoot formulation-related issues.
  • Master Data Management (MDM) Knowledge: Candidates should have a good understanding of Master Data Management principles and practices, including data governance, data quality management, data integration, and data lifecycle management.
  • Regulatory Compliance: The ideal candidate should have a solid understanding of regulatory requirements related to drug product formulation and MDM in the pharmaceutical industry, including knowledge of relevant guidelines such as ICH, FDA, and EMA regulations.
  • C ross-functional Collaboration: Look for individuals who have experience collaborating with cross-functional teams, including R&D, manufacturing, quality, and regulatory affairs, to ensure alignment of formulation data within the broader context of drug product development.
  • Data Analysis and Problem-solving Skills: Candidates should possess strong analytical skills and the ability to interpret complex formulation data, identify trends, and propose data-driven solutions to enhance formulation processes.
  • Technology Proficiency: Ideally, candidate should be familiar with relevant MDM systems, data management tools, and software used in drug product formulation and MDM processes is essential.
  • Communication and Leadership: Seek candidates with strong communication skills and the ability to lead and influence stakeholders in driving MDM initiatives related to drug product formulation.
  • Continuous Improvement Mindset: Look for individuals who demonstrate a proactive approach to continuous improvement, including the ability to identify opportunities for optimizing MDM processes and enhancing data quality within drug product formulation.

Desirable Requirements

  • Experience in technology implementation. Proven experience in implementing technology solutions.
  • Experience in Project Management: Demonstrated experience in managing projects effectively.
  • Experience in Process Development: Skilled in developing and optimizing processes.
  • Cross-Departmental knowledge.
  • Experience with Clinical Data Curation: Familiarity with curating clinical data and adhering to industry standards.
  • Good Understanding of Master and Reference Data management.
  • Operational Understanding of Data Models and Standards: Familiarity with common data models, standards, vocabularies, and ontologies, and their implementation within a centralized repository.
  • Good Facilitator, Communicator, Negotiator, and Enforcer: Strong skills in facilitating discussions, communicating clearly, negotiating agreements, and enforcing policies.
  • Experience in Data Warehousing and Modeling: Proficiency in data warehousing, data modeling, data profiling, and relational databases.
  • Understanding Compliance Regulations: Knowledge of external and internal compliance regulations to ensure data is organized, maintained, and safeguarded against theft or misuse

Date Posted

22-lis-2024

Closing Date

13-gru-2024

AstraZeneca embraces diversity and equality of opportunity.  We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills.  We believe that the more inclusive we are, the better our work will be.  We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics.  We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Data analysis Data governance Data management Data quality Data Warehousing Pharma R R&D RDBMS Research

Region: Europe
Country: Poland

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