Skills
Clinical ImagingClinical TrialsData ManagementData PipelineCreatePythonNeurologyOncologyOphthalmologydata integrationdata pipelineLead clinical imagingclinical imaging data managerclinical imaging data leadImage processingDICOMImaging Data ScientistImaging Data Pipeline
Job Description
Immediate need with our direct end client.
- Lead and supervise the Imaging team to prepare high quality Imaging Data
- Planning, allocation and monitoring of the tasks
- Guiding and training team members throughout the stages of Imaging Data Pipeline
- Create data platforms to ingest and integrate large volumes of Clinical Imaging data
- Work with vendor teams for prioritizing, tracking and fixing issue within the platform
- Participate in planning activities for each phase of the product development
- Build and orchestrate data pipeline for Clinical Trials and Real-World data ingestion, QC and virus/malware check
- Curating various Neurology, Oncology and Ophthalmology image data, in consultation with Research Scientists, using custom python-based scripts.
- Stage the clean and curated data onto the High-performance computing Clusters to train and test ML models
- Testing various Imaging Algorithms on different Clinical Imaging data-sets
- Work with scientists, contractors, and IT staff to understand business data requirements
- Coordination of transfers of clinical imaging data from outside sources using a variety of data transfer options such as cloud platforms, Box.com, or Aspera
- Direct communication with outside vendors and in-house staff to reconcile data transfer problems
- Organization and curation of data in highly structured cloud platforms to facilitate advanced image analysis
- Develop Python scripts for automating data ingestion, curation, qc, analysis
- Support data integration efforts across diverse data sources
- Prepare image data in support f algorithmic development and data workflows
- Continually search for opportunities to automate workflows and streamline processes
- Reporting on imaging assets to business stakeholders.
- Documentation of workflows using Google Docs, Confluence, etc