Opus Recruitment Solutions
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360 ServiceNow ITOM Specialist @ Opus Recruitment Solutions | Sports Science Graduate
Employment Type:
contract Rate:
$100/hr Start Date:
Immediate 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 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. Seniority level: Mid-Senior level Employment type: Contract Job function: Information Technology Industries: Data Infrastructure and Analytics
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Employment Type:
contract Rate:
$100/hr Start Date:
Immediate 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 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. Seniority level: Mid-Senior level Employment type: Contract Job function: Information Technology Industries: Data Infrastructure and Analytics
#J-18808-Ljbffr