Atlas
Informatics Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Informatics Engineer with a contract length of "unknown," offering a pay rate of "$/hour." Remote work is available. Key skills include expertise in DICOM, PACS, SQL, and advanced Python. Experience in clinical imaging environments is preferred.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 29, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Tarrytown, NY
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🧠 - Skills detailed
#Indexing #SQL (Structured Query Language) #Scala #Data Engineering #Metadata #Dataiku #Data Science #Data Modeling #ML (Machine Learning) #R #Schema Design #Data Analysis #Visualization #Python #Monitoring #Data Manipulation #Databases #Data Quality #Cloud
Role description
Description:
We are seeking an experienced Imaging Informatics Programmer to design, develop, and deploy data-driven solutions supporting imaging operations and analytics. This role sits at the intersection of imaging science, data engineering, and application development, enabling high-quality data collection, monitoring, and reporting across imaging workflows.
Key Responsibilities
• Develop and maintain imaging data collection and monitoring systems to support operational tracking and data quality oversight
• Design and build databases, including schema design, optimization, indexing, and creation of views and stored procedures
• Develop and deploy web-based applications, such as Shiny apps, to enable real-time tracking and visualization of imaging operations
• Work with imaging data formats and standards, including DICOM and NIfTI, ensuring proper handling of metadata and headers
• Integrate and manage imaging platforms and tools such as PACS, Flywheel, and end-to-end imaging environments
• Generate and support operational reports, dashboards, and tracking solutions for imaging workflows
• Apply Python-based data science techniques for data manipulation, visualization, and machine learning applications
• Collaborate with cross-functional teams to ensure scalable, efficient, and compliant data solutions
Required Skills and Qualifications
• Deep expertise in imaging informatics tools and environments, including DICOM, NIfTI, PACS, Flywheel, and related ecosystems
• Strong understanding of imaging data structures, metadata, and header information
• Experience with database development and administration, including SQL, performance tuning, and data modeling
• Proficiency in building data-driven applications using tools such as R Shiny, DataIKU, or similar platforms
• Advanced Python skills for data analysis, web frameworks, visualization, and machine learning
• Experience developing and maintaining operational reporting and tracking systems
• Strong problem-solving skills and ability to work in complex, data-intensive environments
Preferred Qualifications
• Experience in clinical or life sciences environments, especially imaging operations
• Familiarity with scalable data platforms and cloud-based architectures
Description:
We are seeking an experienced Imaging Informatics Programmer to design, develop, and deploy data-driven solutions supporting imaging operations and analytics. This role sits at the intersection of imaging science, data engineering, and application development, enabling high-quality data collection, monitoring, and reporting across imaging workflows.
Key Responsibilities
• Develop and maintain imaging data collection and monitoring systems to support operational tracking and data quality oversight
• Design and build databases, including schema design, optimization, indexing, and creation of views and stored procedures
• Develop and deploy web-based applications, such as Shiny apps, to enable real-time tracking and visualization of imaging operations
• Work with imaging data formats and standards, including DICOM and NIfTI, ensuring proper handling of metadata and headers
• Integrate and manage imaging platforms and tools such as PACS, Flywheel, and end-to-end imaging environments
• Generate and support operational reports, dashboards, and tracking solutions for imaging workflows
• Apply Python-based data science techniques for data manipulation, visualization, and machine learning applications
• Collaborate with cross-functional teams to ensure scalable, efficient, and compliant data solutions
Required Skills and Qualifications
• Deep expertise in imaging informatics tools and environments, including DICOM, NIfTI, PACS, Flywheel, and related ecosystems
• Strong understanding of imaging data structures, metadata, and header information
• Experience with database development and administration, including SQL, performance tuning, and data modeling
• Proficiency in building data-driven applications using tools such as R Shiny, DataIKU, or similar platforms
• Advanced Python skills for data analysis, web frameworks, visualization, and machine learning
• Experience developing and maintaining operational reporting and tracking systems
• Strong problem-solving skills and ability to work in complex, data-intensive environments
Preferred Qualifications
• Experience in clinical or life sciences environments, especially imaging operations
• Familiarity with scalable data platforms and cloud-based architectures
