Data Engineering With Dicom
Data Engineering With Dicom
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Salary Not Disclosed
1 Vacancy
Job Description
Data Engineering With Dicom
Location (Onsite from Day 1)
San Francisco CA - 4 days per week onsite.
Candidates must already reside in San Francisco CA or be open to relocation.
Key Technical / Domain Skills
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Python Computer Vision Airflow
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DICOM
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AWS
Whats in it for you
An opportunity to lead technical teams drive architecture decisions and shape migration strategies to AWS.
Job Description
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Develop Python scripts to automate data ingestion curation quality control and analysis
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Hands-on experience with Computer Vision and Airflow
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Prepare image data to support algorithm development and data workflows
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Continuously identify opportunities to automate workflows and streamline processes
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Report on imaging assets to business stakeholders
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Document workflows using Google Docs Confluence and related tools
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Collaborate with scientists contractors and IT staff to curate organize and document clinical images from trials
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Support data integration across diverse data sources
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Contribute to the development of Machine Learning / Deep Learning (ML/DL) algorithms and pipelines using image data
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Maintain thorough documentation and actively improve automation processes
Required Skills
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Bachelors degree in Computer Science Biomedical Engineering or related field (Masters preferred)
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Experience working with clinical imaging across therapeutic areas such as Oncology Ophthalmology and Neurology
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Strong knowledge of medical/clinical image data analysis techniques
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Proficiency in scripting languages (Python required)
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Exposure to database applications
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Experience with medical image formats (DICOM NIfTI)
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ML/DL experience is a plus
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Understanding of clinical trials is a plus
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Strong communication and presentation skills
Educational Qualifications
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Engineering Degree (BE/ME/BTech/MTech/BSc/MSc)
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Technical certifications in multiple technologies are desirable
Employment Type
Full-time
