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Remote Imaging Informatics Jobs in Massachusetts

Data Architect, Next Platform

Boston, MA · On-site +1

$150K - $200K/yr

... and imaging data-are seamlessly accessible to autonomous AI agents. Our goal is to move beyond ... Education: Bachelor's Degree in Computer Science, Health Informatics, or a related field.

This area levarages AI to study and solve complex problems in the health sciences, including fields such as healthcare informatics, movement and rehabilitation sciences, medical imaging, remote ...

Remote Imaging Informatics information

What is remote imaging informatics?

Remote imaging informatics is a specialized field that focuses on managing, analyzing, and sharing medical images and related data using digital information technologies from remote locations. Professionals in this field develop and maintain systems that allow healthcare providers to access, interpret, and store medical images such as X-rays, MRIs, and CT scans securely and efficiently, regardless of physical location. This facilitates faster diagnoses, greater collaboration among medical teams, and improved patient care. Remote imaging informatics is essential for telemedicine and for supporting hospitals and clinics that may not have on-site specialists.

What are the key skills and qualifications needed to thrive as a remote imaging informatics specialist?

To excel in Remote Imaging Informatics, you need a strong background in medical imaging, IT systems, and data management, often supported by a degree in health informatics, computer science, or a related field. Familiarity with PACS, RIS, DICOM standards, and certifications like CIIP (Certified Imaging Informatics Professional) are typically required. Excellent problem-solving, communication, and collaboration skills are vital for coordinating with radiologists, IT teams, and healthcare providers remotely. These skills are crucial for ensuring seamless integration, secure image management, and optimal support of clinical workflows in distributed healthcare environments.

What are some common challenges faced by professionals in remote imaging informatics, and how can they be addressed?

Professionals in remote imaging informatics often encounter challenges such as maintaining secure and reliable access to large imaging datasets, ensuring smooth communication with on-site clinical teams, and troubleshooting technical issues from a distance. To address these, it's important to be proficient in telecommunication tools and remote troubleshooting techniques, and to stay updated on cybersecurity best practices. Establishing clear communication protocols and collaborating closely with both IT and clinical staff also helps ensure workflow efficiency and high-quality patient care.
What are the most commonly searched types of Imaging Informatics jobs in Massachusetts? The most popular types of Imaging Informatics jobs in Massachusetts are:
What are popular job titles related to Remote Imaging Informatics jobs in Massachusetts? For Remote Imaging Informatics jobs in Massachusetts, the most frequently searched job titles are:
What cities in Massachusetts are hiring for Remote Imaging Informatics jobs? Cities in Massachusetts with the most Remote Imaging Informatics job openings:

Data Architect, Next Platform

Tempus

Boston, MA • On-site, Remote

$150K - $200K/yr

Full-time

Posted 5 days ago


Job description

Passionate about precision medicine and advancing the healthcare industry?

Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.

We are seeking a Data Architect to design the structural backbone of a high-scale, multi-modal healthcare data ecosystem. You will be responsible for architecting data environments that serve massive networks of hospitals, ensuring that diverse data types-ranging from structured EHR records to unstructured genomic and imaging data-are seamlessly accessible to autonomous AI agents.

Our goal is to move beyond static data warehousing to create a dynamic, "agent-ready" data fabric that supports real-time clinical evaluation at an enterprise scale.

What You'll Do
  • Multi-Modal Architecture: Lead the design and management of an enterprise data model that integrates complex domains including clinical EHR records, high-throughput genomics (NGS), and cardiovascular imaging (Echo, Cath, ECG).

  • Scale for Hospital Networks: Architect data solutions designed to scale across federated networks of hospitals, ensuring multi-tenancy, high availability, and performance across hybrid cloud environments.

  • Enable Agentic Workflows: Design data access patterns and metadata layers specifically optimized for AI agents, allowing them to autonomously discover, query, and reason over structured and unstructured datasets.

  • Schema & API Ownership: Author and maintain entity-relationship diagrams (ERDs), data dictionaries, and API specifications across multiple technologies (Relational, NoSQL, Vector Databases).

  • Data Quality & Traceability: Implement automated solutions to monitor data quality and lineage with strict traceability back to source systems, ensuring "ground truth" for agentic evaluations.

  • Technical Advocacy: Educate engineering and clinical teams on data modeling standards, governance, and best practices for maintaining data integrity in a HIPAA-regulated environment.

Experience & Qualifications
  • Education: Bachelor's Degree in Computer Science, Health Informatics, or a related field.

  • Professional Experience: 7+ years in data architecture or enterprise modeling, with significant experience in the healthcare or life sciences domain.

  • Modeling Mastery: Expert-level knowledge of 3NF, Dimensional (Star Schema), and Data Vault 2.0 modeling techniques.

  • Advanced SQL & Python: Exceptional SQL skills for complex analytical environments and proficiency in Python for data profiling and debugging.

  • Technology Strategy: Ability to articulate the trade-offs between RDBMS, MPP, and NoSQL technologies, and experience implementing Master Data Management (MDM) solutions.

  • Interoperability Standards: Deep familiarity with HL7, FHIR, and Epic/Cerner data structures.

  • Tools: Proficiency with modeling tools such as Erwin, Vertabelo, or Lucidchart.

Bonus Points
  • AI Data Engineering: Experience with Vector databases (e.g., Pinecone, Weaviate, or pgvector) or Graph databases to support RAG and agentic memory.

  • Cloud Architecture: Hands-on experience with GCP (BigQuery, Vertex AI) or AWS healthcare-native services.

  • Specialized Clinical Data: Direct experience working with EHR, OMOP, DICOM, genomic data models, or longitudinal patient records.

#LI-BL1
Chi: $140,000-$190,000

NYC/SF: $150,000-$200,000

The expected salary range above is applicable if the role is performed from California and may vary for other locations (Colorado, Illinois, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position.

Additionally,for remote roles open to individuals in unincorporated Los Angeles - including remote roles-Tempus reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: engaging positively with customers and other employees; accessing confidential information, including intellectual property, trade secrets, and protected health information; and appropriately handling such information in accordance with legal and ethical standards. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.