Data Engineer with DICOM

  • San Francisco, CA
  • Posted 5 days ago | Updated 1 hour ago

Overview

On Site
Accepts corp to corp applications
Contract - Long term

Skills

Python
Amazon Web Services
Data Sources
Database
Data Integration
Scripting
Documentation
Confluence
Machine Learning
Oncology
Neurology
dicom
imaging
Data Analysis
clinical trials
Marketing Analysis
Therapeutic
Presentation Skills
Biomedical
Computer Vision
Deep Learning
Medical/Clinical
Google Docs

Job Details

Data Engineering with DICOM

Location (Onsite from Day 1):
San Francisco, CA (4 days from Office). Candidates must reside San Francisco, CA or be open to relocate
Candidates should be authorized to work in the United States

Key Technical/Domain skills
Python, Computer vision, Airflow
DICOM
AWS

What's in it for you:
Opportunity to lead technical teams, guide architecture decisions, and influence migration strategies to AWS.

Job Description:

Develop Python scripts for automating data ingestion, curation, qc, analysis
Good working experience in Computer vision & Airflow
Prepare image data in support of 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.
Work with scientists, contractors, and IT staff to curate, organize, and document clinical images from trials
Support data integration efforts across diverse data sources
Support development of Machine Learning/Deep Learning (ML/DL) algorithms and pipelines using the image data
Continually search for opportunities to automate workflows and streamline processes

Required Skills

Bachelor's degree in Computer Science, Biomedical Engineering, or a similar discipline; Master of Science preferred
Experience with clinical imaging in multiple therapeutic areas such as Oncology, Ophthalmology and Neurology
Experience with medical/clinical image data analysis techniques
Proficient in scripting languages such as Python, etc.
Some experience with database applications
Experience with medical image formats (e.g., DICOM, nifti) is required
Experience with ML/DL a plus
Understanding of clinical trials a plus
Excellent communication and presentation skills

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

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