Biomedical Data Curation and Anonymization Specialist

Company: Coopers Group GmbH
Job type: Other

Your tasks:

The DCAS will be responsible for ensuring digital pathology (DP) images and multidimensional associated metadata ingested into the DP storage platform are well organized, anonymized and meet technical quality standards required for DP algorithm development. The role will not require visual assessment of image content; however, previous experience working with DP or other imaging modalities will help the successful candidate accomplish the listed tasks:

Run data anonymization algorithms on digital pathology images, image metadata, clinical data, and genetic data

Contribute to the maintenance and optimization of digital pathology image/data anonymization algorithms

Use and improve metadata storage and management tools

Manage digital pathology project data, curate image, clinical, and genetic metadata

Support data transfers and ingestion from internal and external parties, carry out technical quality control on ingested data

Communicate with external data providers about data transfer requirements, share technical issues with vendors, oversee and contribute to their resolution

Work closely with groups across the organization to locate and access data from diverse company internal systems

Your profile:

Education related to Computer Science, Data Science, or related field, or 3+ years working experience in a data curation, data anonymization or data management role

Experience with general tools and techniques used in anonymization workflows and practical experience with R and Python

Demonstrated communication skills of technical information, both understanding and expressing requirements from stakeholders with a high level of bioinformatics expertise (ie an ability to both work with and communicate about large datasets containing imaging, clinical, demographic, genetic etc. data)

Practical experience with cloud services (AWS, Azure, GCP)

Experience in managing large datasets

Nice to Haves:

Prior experience with digital pathology or imaging and clinical data

Familiarity with Data modelling

Familiarity with database software and organizational systems such as LIM

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