Data Engineer with Imaging @ San Francisco, CA

Job Title: Sr Data Engineer with Imaging

Experience: - 10+ years' experience

Location(Onsite): - San Francisco (4 days on prem at client location)

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 file 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.

Skills:-

• Worked with medical imaging data and platforms, PACS, VNAs, etc.
• Worked with imaging Radiology data e.g., CT, PET, MRI, nifti and Ophtha imaging, OCT, FA,CFP etc.
• Good understanding of DICOM standard, structure, metadata parsing, tags, and multi-frame images
• Worked with Clinical information data standards like SDTM, ADaM
• Data integration across diverse data sources, e.g., imaging data with tabular clinical data
• De-identification methodologies, PHI/PII detection,n and privacy controls
• Good understanding of GXP and CSV validation frameworks
• Proficient in Python, its libraries: pandas, pydicom, SimpleITK, dicom-numpy, dcm2niix
• Hands-on experience with ETL/ELT involving large medical imaging datasets
• Apache Airflow, Spark, Talend, or similar orchestration of complex workflows.
• . Proficiency with SQL and NoSQL, and image metadata stores. (PostgreSQL, MongoDB Etc)
• Practical experience with AWS infrastructure Data services, e.g., RDS, Athena, Glue, EC2, Lambda, S3 .
• Familiar with EKS, Docker, and HPC
• Experience in data analysis and report generation, e.g, Tibco, Tableau, AWS Quicksite etc
• Good knowledge of Git, Gitlab and DevOps tools like Jenkins, Terraform
• Familiar with using ML workflows for Computer Vision tasks like segmentation, classification, etc..
• Nice to have: implemented solutions on NLP and GenAI
• Worked with cross functional global teams in a dynamic Agile environment
• Lead and mentor agile team members.
• Has 10+ years of experience with data platforms, analysis and insights

Educational Qualifications: -

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