Data Engineer with DICOM

San Francisco, CA - USA

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

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

Whats 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

Bachelors 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.