Job Details

Data Architect

  2025-11-01     Opus Recruitment Solutions     San Francisco,CA  
Description:

Employment Type: contract

Rate: $100/hr

Start Date: Immediate

Location: Hybrid – San Francisco, CA

Onsite Requirement: Local candidates only; 2–3 days/week onsite


Join the Image Curation and Data Products team, a global group transforming biomedical imaging data from clinical trials and real-world data (RWD). We deliver high-quality, FAIR imaging datasets that empower Roche imaging data scientists—from exploratory research to algorithm development.


Key Responsibilities

  • Imaging Data Pipeline Delivery: Design and maintain automated pipelines for onboarding, verifying, transforming, and curating biomedical imaging data across therapeutic areas (Oncology, Neurology, Ophthalmology).
  • Data Quality & Integrity: Implement solutions to detect and correct anomalies, ensure compliance with DICOM and internal standards (FFS, RTS, GDSR), and enforce PHI/PII controls.
  • Data Analysis & Integration: Integrate ML/AI tools for inline image analysis, classification, segmentation, and metadata enrichment.
  • Image Data Management: Build scalable catalogs of curated imaging datasets aligned with FAIR principles.
  • Compliance & Controls: Ensure GXP and CSV validation compliance.


We're looking for a seasoned professional with 10+ years of experience in data platforms, analysis, and insights. Ideal candidates will have multiple of the following competencies:

  • Experience with medical imaging platforms (PACS, VNAs)
  • Familiarity with radiology and ophthalmology imaging formats (CT, PET, MRI, OCT, FA, CFP)
  • Deep understanding of DICOM standards and metadata
  • Knowledge of clinical data standards (SDTM, ADaM)
  • Expertise in data integration across imaging and tabular clinical data
  • PHI/PII de-identification methodologies
  • GXP and CSV validation experience
  • Proficiency in Python (pandas, pydicom, SimpleITK, etc.)


Apply Now

If you're a local candidate in San Francisco ready to make an impact in biomedical imaging data, we'd love to hear from you.


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