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Remote Medical Image Analysis Jobs (NOW HIRING)

Cellanome

Machine Learning Engineer

Foster, OR · On-site +1

$160K - $215K/yr

Possibility for Remote. Key Responsibilities: * Design, develop, and optimize advanced algorithms ... Develop signal-processing and image-analysis algorithms using classical methods as well as modern ...

Lancesoft INC

Pathologist

Tucson, AZ · Remote

$80 - $90/hr

Description: ***This is a remote position for a Staff Pathologist (MD) who has experience ... quantitative image analysis --Ensure compliance with laboratory and medical regulations ...

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Remote Medical Image Analysis information

How do remote medical image analysts typically collaborate with radiologists and other healthcare professionals?

Remote medical image analysts frequently work closely with radiologists, physicians, and sometimes technologists through secure digital platforms. Collaboration often involves participating in virtual meetings, discussing cases via messaging or video calls, and providing preliminary analysis or second opinions on imaging studies. Clear communication and timely reporting are essential, as analysts may be supporting multiple locations or time zones. This collaborative approach ensures high-quality patient care and helps maintain accuracy in diagnostic interpretations.

What is the difference between Remote Medical Image Analysis vs Remote Radiology Assistant?

AspectRemote Medical Image AnalysisRemote Radiology Assistant
CredentialsMedical imaging certifications, radiology trainingRadiology assistant certification, radiology tech background
Work EnvironmentRemote, computer-based analysis of medical imagesRemote support role assisting radiologists, often computer-based
Industry UsageHospitals, imaging centers, telemedicine providersRadiology departments, telehealth services
Search & Comparison IntentUnderstanding roles in medical imaging analysisSupporting radiologists remotely

Remote Medical Image Analysis involves interpreting medical images like MRIs and CT scans, requiring specialized medical credentials. Remote Radiology Assistants support radiologists by preparing and managing images, often with similar certifications. Both roles are remote, industry-specific, and involve medical imaging, but differ in responsibilities and level of medical expertise.

What is remote medical image analysis?

Remote medical image analysis involves the interpretation and evaluation of medical images, such as X-rays, MRIs, or CT scans, by specialists who are not physically present at the healthcare facility. Using secure digital platforms, radiologists and other healthcare professionals can access, analyze, and share findings with medical teams across different locations. This practice enhances the speed and efficiency of diagnoses, provides access to expert opinions regardless of geography, and supports collaboration for complex cases.

What are the key skills and qualifications needed to thrive in Remote Medical Image Analysis, and why are they important?

To thrive in Remote Medical Image Analysis, you need a solid background in medical imaging, anatomy, and pathology—often supported by a degree in medical imaging, radiology, or a related field. Familiarity with advanced imaging software (such as PACS, DICOM viewers, or AI-based diagnostic tools) and relevant certifications like ARRT or equivalent are typically required. Strong attention to detail, analytical thinking, and effective communication are standout soft skills in this role. These skills and qualifications are crucial to ensure accurate, timely diagnoses and effective collaboration with healthcare teams from a distance.
More about Remote Medical Image Analysis jobs
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What are the most commonly searched types of Medical Image Analysis jobs? The most popular types of Medical Image Analysis jobs are:
What states have the most Remote Medical Image Analysis jobs? States with the most job openings for Remote Medical Image Analysis jobs include:
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Remote Medical Image Analysis jobs near you
Infographic showing various Remote Medical Image Analysis job openings in the United States as of June 2026, with employment types broken down into 40% Full Time, 39% Part Time, 1% Temporary, 19% Contract, and 1% Nights. Highlights an 37% Physical, 3% Hybrid, and 60% Remote job distribution.

Software Engineer (Platform)

Oncora Medical

Philadelphia, PA • On-site, Remote

$80/hr

Full-time

Medical, Dental, Retirement, PTO

Posted 17 days ago

Job description

Company Description
About us:
Oncora is an oncology software and data company dedicated to helping physicians and scientists collect and use real-world data to improve outcomes for cancer patients. Our machine learning algorithms, which are deployed in active clinical environments, accurately predict oncology outcomes such as unplanned hospitalization, survival, and recurrence. Our software products include: a clinical workflow and data entry system for oncology clinical care, a data warehouse that leverages connections to other healthcare software systems such as EMRs, PACS, to amass real-world, regulatory-grade oncology data, a machine learning platform to train and validate predictive models of key oncology events, a machine learning API to power external software tools, and a virtual clinical trial platform that allows pharma and device companies to leverage automated medical image analysis to advance new technologies in the fight to cure cancer. We work with world-leading cancer centers such as MD Anderson and Northwell Health, global device companies such as Varian Medical Systems, and innovative biopharma companies. Our team is mission-driven to its core.
Job Description
About the role:
We are looking for an experienced engineer to join our mission driven team to help develop our data platform that integrates and transforms multiple imperfect and messy data sources into clean, usable data so that we can learn from every cancer patient.
As a main contributor on our Platform and Integrations team, you will play a vital role in developing and operating our core data platform and helping scale it to serve additional hospitals.
We are a small team trying to tackle a very large problem, so we need teammates that are ultimately accountable to themselves and continuously push themselves, the product and the organization forward.
What you will be doing:
  • Developing pipelines to integrate new data elements into our normalized oncology schema
  • Overseeing and monitoring our existing data infrastructure for stability, performance and accuracy
  • Improving our data warehousing and reporting capabilities to support real-time analysis of tens of thousands of patients representing millions of data points
  • Integrating standard and proprietary ontologies into our data enrichment processes
  • Enhancing our de-identification capabilities to support machine learning and clinical research use-cases
  • Building reusable integrations with major clinical systems (e.g. EMR/EHRs)
  • Deploying updates frequently to immediately improve the state of cancer care
  • Providing constructive feedback to your team members through code and architecture reviews

Qualifications
About you:
  • A solid base of software engineering experience, typically 1-5 years, with at least part of that time in data-focused roles or projects
  • Fluency with a functional or imperative language (we use Python)
  • Experience working with relational and non-relational databases (we use Postgres, MongoDB, Redis, and ElasticSearch)
  • Tendency to seek simple, elegant solutions to complex problems
  • Ability to analyze and optimize existing solutions
  • A focus on writing understandable, testable, and maintainable code
  • Experience working with asynchronous and distributed systems (we use RabbitMQ)
  • Familiarity with modern containerized environments (we use Docker & Kubernetes)

Bonuses:
  • Experience with healthcare data standards and integration is a huge plus (HL7, FHIR, DICOM, etc.)
  • Experience designing data models for analytical and transactional workloads

Additional Information
Compensation, Benefits, and Perks:
  • Salary: $80-120k plus equity compensation
  • 401k, health and dental insurance, flexible vacation policy, paid parental leave
  • eBooks, online courses, workstation setup
  • Events: happy hours, team dinners, conversations with oncologists (will return soon!)
  • You get to work with smart, passionate people on a product that will have a direct impact on the quality of life for cancer patients

What to expect in the hiring process:
  • Introductory phone call with the Head of Operations (30 minutes zoom call)
  • Phone interview with VP of Engineering (60 min zoom call)
  • Virtual onsite, including a pair programming session, engineering team meet, and co-founder meet (90-120 minute zoom call)
  • Final stages, potential follow-up interviews, and offer discussions

Apply