Senior Data Manager Data architect

San Francisco, CA - USA

Monthly Salary: Not Disclosed

Posted on: 3 hours ago

Vacancies: 1 Vacancy

Job Summary

Position:- Senior Data Manager/ Data architect / Data Engg Lead

Location: -San Francisco CA ( 4 days from the Office).

Job Description:

Imaging Data Pipeline delivery: Design implement and maintain automated pipelines for onboarding verifying transforming and curating biomedical imaging data from clinical trials and real-world data sources for therapeutic areas Oncology Neurology Ophthalmology covering all image file formats.
Data Quality and Integrity: Develop and implement solutions to detect and correct anomalies and inconsistencies to achieve the highest data quality of the imaging data set per industry standards DICOM and internal specifications like FFS RTS GDSR etc. Ensure de-identification PHI/PII controls and image-specific QC checks are implemented at scale.
Data Analysis and integration: Integrate ML and AI-assisted tools in the pipelines for inline image analysis classifications segmentations to extract and enrich metadata for various analyses optimize performance etc..
Image Data Management : Build and maintain large-scale catalogs of curated imaging data sets enhancing FAIR principles and providing easy-to-discover and access imaging data assets.
Compliance and Controls : Ensure applicable compliance and privacy controls are followed as required GXP CSV validations.
Collaboration: Working closely with Image scientists data scientists clinicians and biomarker research teams supporting data needs for various primary and secondary endpoint analyses.
External collaboration: Work with external partners e.g. CROs in ensuring the imaging data received conforms to the established agreements and quality standards and is complete.
Lead to the delivery team to ensure timely delivery of product backlog/features
Participate with the team and lead various agile ceremonies throughout the planning and execution. An ideal candidate would have (multiple competencies from list below);

Educational Qualifications: -

Engineering Degree BE/ME/BTech/MTech/BSc/MSc.
Technical certification in multiple technologies is desirable.

Position:- Senior Data Manager/ Data architect / Data Engg Lead Location: -San Francisco CA ( 4 days from the Office). Job Description: Imaging Data Pipeline delivery: Design implement and maintain automated pipelines for onboarding verifying transforming and curating biomedical imaging data from...

Position:- Senior Data Manager/ Data architect / Data Engg Lead

Location: -San Francisco CA ( 4 days from the Office).

Job Description:

Imaging Data Pipeline delivery: Design implement and maintain automated pipelines for onboarding verifying transforming and curating biomedical imaging data from clinical trials and real-world data sources for therapeutic areas Oncology Neurology Ophthalmology covering all image file formats.
Data Quality and Integrity: Develop and implement solutions to detect and correct anomalies and inconsistencies to achieve the highest data quality of the imaging data set per industry standards DICOM and internal specifications like FFS RTS GDSR etc. Ensure de-identification PHI/PII controls and image-specific QC checks are implemented at scale.
Data Analysis and integration: Integrate ML and AI-assisted tools in the pipelines for inline image analysis classifications segmentations to extract and enrich metadata for various analyses optimize performance etc..
Image Data Management : Build and maintain large-scale catalogs of curated imaging data sets enhancing FAIR principles and providing easy-to-discover and access imaging data assets.
Compliance and Controls : Ensure applicable compliance and privacy controls are followed as required GXP CSV validations.
Collaboration: Working closely with Image scientists data scientists clinicians and biomarker research teams supporting data needs for various primary and secondary endpoint analyses.
External collaboration: Work with external partners e.g. CROs in ensuring the imaging data received conforms to the established agreements and quality standards and is complete.
Lead to the delivery team to ensure timely delivery of product backlog/features
Participate with the team and lead various agile ceremonies throughout the planning and execution. An ideal candidate would have (multiple competencies from list below);

Educational Qualifications: -