Senior Data Manager/ Data architect with DICOM (San Francisco) at Nexify Infosystems

Job Title: Senior Data Manager/ Data Architect with DICOMLocation: San Francisco, CADuration: 12+ Months Job Description : Image Curation and Data products team transforms biomedical imaging data from clinical trials and RWD, by applying the tools and workflows to deliver high quality, FAIR imaging data sets enabling imaging data scientists to discover and utilize for exploratory use to algorithm development. Job Description:Key Responsibilities: 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 fi le formats. Data Quality and Integrity : Develop and implement solutions to detect and correct anomalies and inconsistencies, to achieve 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, clinops, 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 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. Ideal candidate would have, (multiple competencies from list below);1. Worked with medical imaging data and platforms , PACS, VNAs etc.2. Worked with imaging Radiology data e.g. CT, PET, MRI, nifti and Ophtha imaging OCT, FA,CFP etc.3. Good understanding of DICOM standard, structure, metadata parsing, tags, multi-frame images4. Worked with Clinical information data standards like, SDTM, ADaM5. Data integration across diverse data sources, e.g. imaging data with tabular clinical data6. De-identifi cation methodologies, PHI/PII detection and privacy controls7. Good understanding of GXP and CSV validation frameworks8. Proficient in Python, its libraries : pandas , pydicom, SimpleITK , dicom-numpy, dcm2niix9. Hands on experience with ETL/ELT involving large medical imaging datasets10. Apache Airfl ow, Spark, Talend or similar orchestration of complex workflows. 11. Profi ciency with SQL and noSql , and image meta data stores. (PostgreSQL, Mongo Etc)12. Practical experience with AWS infrastructure Data services , e.g. RDS, Athena, Glue , EC2 Lambda, S3 .13. Familiar with EKS, Docker , and HPC14. Experience in data analysis and report generation, e.g Tibco, Tableau, AWS Quicksite etc15. Good knowledge of Git, Gitlab and DevOps tools like Jenkins, Terraform16. Familiar with using ML workfl ows for Computer Vision tasks like segmentation, classifi cation, etc..17. Nice to have: implemented solutions on NLP and GenAI 18. Worked with cross functional global teams in a dynamic Agile environment19. Lead and mentor agile team members.20. Has 10+ years of experience with data platforms, analysis and insights