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RadNet

Outpatient radiology imaging centers with AI

Data Migration Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeSomerville, MA, USA$100k - $120k

About the Job

Requirements

  • A bachelor's degree in information technology, computer science, healthcare informatics, or a related field, or equivalent professional experience.
  • At least 3 years of proven experience in data migration within a healthcare environment.
  • Hands-on experience with data manipulation or migration within RIS, PACS, HIS, and EMR systems.
  • Proficiency in ETL processes, database structures, SQL, and healthcare data standards.
  • Proficient SQL skills and database management experience, including Transact-SQL, triggers, functions, stored procedures, database schema design, SQL Agent jobs, and ad hoc querying.
  • Experience working with CSV and other delimited text files, Excel data, SQL databases, Word documents, BMP/JPG files, and PDF files, including converting formats, renaming, moving, parsing, and cleaning files and data.
  • Technical communication and interpersonal skills to communicate effectively with stakeholders at all organizational levels.
  • Problem-solving and troubleshooting abilities.
  • Ability to adapt to changing projects, self-manage, take initiative, and prioritize multiple tasks effectively; occasional off-hours work is required for migrations during off-peak system times.
  • Attention to detail and commitment to data accuracy and security, including handling and analyzing large medical-record datasets.
  • Proficiency in C# for Windows desktop programming, Python, or similar programming languages to enhance in-house data-migration tools.
  • Familiarity with Linux operating systems and scripting, including Python, Perl, Vim, or Bash, to assist with ancillary data migrations in Linux environments.
  • Mirth skills, particularly with HL7.
  • Follow data privacy, compliance, safety, and confidentiality standards.
  • Occasional ability to lift up to 10 pounds.

Responsibilities

  • Develop and execute comprehensive strategies for RIS data migration.
  • Collaborate with stakeholders to gather and analyze migration requirements.
  • Extract clinical, operational, and administrative data from legacy RIS systems.
  • Assess and map legacy data structures, including patient demographic records, diagnostic radiology reports, scanned documents, and future appointments.
  • Assist in assembling and loading RIS master lists, including referring physicians, insurance providers, procedure codes, billing codes, organizational structures such as practices, sites, and rooms, and other master lookup tables.
  • Use ETL tools to clean, transform, and prepare data for migration.
  • Provide post-migration support for product go-live implementations.
  • Partner with cross-functional teams, including customers, IT staff, compliance officers, and third-party vendors.
  • Document the migration process, including methodologies, tools, and reports.
  • Train staff to manage, access, and use data in the new RIS system.
  • Validate data completeness and resolve inconsistencies.
  • Conduct post-migration verification and prepare detailed reports for stakeholders.
  • Identify and resolve migration-related issues, including data inconsistencies and system compatibility challenges.
  • Follow applicable local, regional, and country employment laws and DeepHealth policies and procedures.
  • Practice universal safety precautions and promote good public relations by phone and in person.
  • Complete job responsibilities in a quality and timely manner.
  • Travel domestically and internationally up to 10%.

About the Company

RadNet

Outpatient radiology imaging centers with AI

RadNet runs a network of 350 outpatient radiology centers across seven states, providing advanced imaging services to patients. Its core offerings include diagnostic imaging (such as X-ray, CT, MRI, and other modalities) performed at clinics and interpreted by radiologists. The company combines imaging technology with artificial intelligence to improve diagnostic accuracy and speed, supporting healthcare providers, patients, regulators, and payers. Revenue comes from patient fees and partnerships with healthcare institutions. RadNet differentiates itself through scale (a large, nationwide outpatient imaging network), ongoing investment in technology and AI, and a focus on standardizing high-quality imaging across its centers. The company’s goal is to expand access to precise, efficient radiology services and to maintain leadership in imaging quality and research by continuously adopting best practices and pioneering radiology-related innovations.

Company size
5,001-10,000
Company stage
IPO
Headquarters
Los Angeles, CA
Founded
1981

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