
Data Engineering With Dicom
β - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Engineering position focused on DICOM, based in San Francisco, CA, for a contract duration. Candidates must have 15+ years of experience, a degree in a related field, and skills in Python, computer vision, Airflow, and AWS. Pay is $65-$70 per hour.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
560
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ποΈ - Date discovered
September 26, 2025
π - Project duration
Unknown
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ποΈ - Location type
On-site
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
South San Francisco, CA 94080
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π§ - Skills detailed
#AWS (Amazon Web Services) #Airflow #Computer Science #Data Integration #AI (Artificial Intelligence) #Deep Learning #ML (Machine Learning) #Python #Data Science #Scripting #Documentation #Data Engineering #Migration #Data Ingestion #Data Analysis
Role description
Title: Data Engineering With DicomLocation (Onsite from Day 1) : San Francisco, CA ( 4 days from Office).
Duration: ContractCandidates must reside San Francisco, CA or be open to relocate
Manager's notes: Sr Data Engineer (Imagining, Dicom) Some Ai or Data scientistWeβve received a new update from the client regarding the below position. They are now specifically looking for senior candidates with 15+ years of experience. Kindly prioritize profiles that meet this criterion, as these are more likely to be selected by the client. 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:
Bachelorβs 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
Key Technical/Domain skills:
Python, Computer vision, Airflow
DICOM
AWS
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.
Educational Qualifications: -
Engineering Degree β BE/ME/BTech/MTech/BSc/MSc.
Technical certification in multiple technologies is desirable.
Job Type: Contract
Pay: $65.00 - $70.00 per hour
Ability to Commute:
South San Francisco, CA 94080 (Required)
Ability to Relocate:
South San Francisco, CA 94080: Relocate before starting work (Required)
Work Location: In person
Title: Data Engineering With DicomLocation (Onsite from Day 1) : San Francisco, CA ( 4 days from Office).
Duration: ContractCandidates must reside San Francisco, CA or be open to relocate
Manager's notes: Sr Data Engineer (Imagining, Dicom) Some Ai or Data scientistWeβve received a new update from the client regarding the below position. They are now specifically looking for senior candidates with 15+ years of experience. Kindly prioritize profiles that meet this criterion, as these are more likely to be selected by the client. 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:
Bachelorβs 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
Key Technical/Domain skills:
Python, Computer vision, Airflow
DICOM
AWS
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.
Educational Qualifications: -
Engineering Degree β BE/ME/BTech/MTech/BSc/MSc.
Technical certification in multiple technologies is desirable.
Job Type: Contract
Pay: $65.00 - $70.00 per hour
Ability to Commute:
South San Francisco, CA 94080 (Required)
Ability to Relocate:
South San Francisco, CA 94080: Relocate before starting work (Required)
Work Location: In person