Data Management and Operations (DMO) Specialist (m/f/d)

As a Data Management and Operations (DMO) Specialist, you will play a crucial role in managing, curating, and integrating data from multiple sources as well as support execution of end-to-end computational pathology workflows, while ensuring quality and compliance at different steps. You will work cross-functionally with internal and external stakeholders to optimize data resources and support high-quality analysis and decision-making processes.

The position is initially limited to one year.

Key Responsibilities

• Data Integration and Management: Manage and integrate diverse datasets, including imaging data, patient/sample metadata, real-world evidence, clinical trials, and image analysis results, ensuring data consistency.

• Tool Development and Process automation: Develop and refine data management tools and pipelines using programming languages (e.g., Python) to enhance project efficiency. Emphasize automation, scalability, and adherence to FAIR principles to streamline data processing workflows.

• Data Quality and Validation: Ensure data quality by supporting the validation of computational and analytical methods. Perform tasks related to biomarker quantification on whole slide images (e.g. immunohistochemistry),  in alignment with functional standards and policies. This includes data pooling, splitting, curation, and analysis.

• External Engagement: Coordinate with laboratories, Contract Research Organizations, and external points of contact for the transfer of image data and metadata.

• Collaboration and Communication: Establish strong working relationships with teams such as machine learning specialists, data scientists, engineers, software developers, and clinical/biological researchers. Ensure effective utilization of data resources and communicate results clearly, addressing uncertainties and limitations.

• Compliance and Regulatory Requirements: Ensure that processes comply with relevant data governance and quality standards, especially within a computational pathology environment.

• Continuous Improvement: Stay updated on the latest trends, methodologies, and innovations in data management, specifically within computational pathology. Incorporate best practices into daily tasks to ensure that image analysis algorithms and automated scoring methods meet robust quality standards.

Desired Profile

Education

Bachelor’s or Master’s degree in computer science / bioinformatics, computational biology, or a related field. Equivalent work experience in a data management role within the healthcare, clinical, or biotechnology sectors is highly desirable.

Experience

• Minimum of 3-5 years of experience in data management, preferably within a healthcare, clinical, or computational pathology environment.

• Demonstrated experience working with imaging data, clinical trial data, or similar multi-source datasets.

• Experience working with version control systems and data compliance processes.

• Familiarity with quality control processes, regulatory standards, and data governance.

Technical Skills

• Knowledge of data curation methods, and data integration platforms.

• Experience with data management tools and cloud-based data management platforms.

• Strong command of programming languages, especially Python, for developing tools, automating workflows, and improving efficiency in data handling.

Regulatory and Compliance Knowledge

• Understanding of data governance policies, regulatory frameworks, and standards related to healthcare and clinical data management.

• Knowledge of FAIR data principles (Findable, Accessible, Interoperable, and Reusable) and how they apply to data management in the life sciences sector.

Soft Skills

• Effective communication skills, both written and verbal.

• A collaborative mindset with the ability to build and maintain relationships with cross-functional teams, external partners, and stakeholders.

• Excellent organizational skills, with the ability to manage multiple datasets and projects simultaneously.

• Strong problem-solving and troubleshooting skills, with attention to detail in ensuring data quality and compliance.

Benefits

• Individual development opportunities and a focus on lifelong learning.
• A diverse, inclusive and unbiased work environment.
• Trust, appreciation and space for co-creation.
• Wellbeing and Mobility Benefits.

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.