Data Management Tech Lead Clinical Imaging *** Direct end client ***

Depends on Experience

Contract: Corp-To-Corp, W2, Independent, 3 Year(s)

  • Work from home

Skills

Clinical ImagingClinical TrialsData ManagementData PipelineCreatePythonNeurologyOncologyOphthalmologydata integrationdata 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