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Phd Radiology Jobs (NOW HIRING)

A2z Radiology

$160K - $200K/yr

DICOM, CT, or radiology background * A PhD or publications (a real plus, never a gate) You do not need prior medical-AI experience. You will learn radiology from the clinicians who read alongside the ...

Phoenix Children's

Pediatric Body Radiologist

Tolleson, AZ · On-site

$314K - $392K/yr

A full-time Imaging Scientist PhD and dedicated research coordinator are available to support and facilitate Radiology research. Phoenix Valley Growth and Expansion With the rapid population growth ...

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Pediatric Body Radiologist

Avondale, AZ · On-site

$331K - $414K/yr

A full-time Imaging Scientist PhD and dedicated research coordinator are available to support and facilitate Radiology research. Phoenix Valley Growth and Expansion With the rapid population growth ...

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Pediatric Body Radiologist

Goodyear, AZ · On-site

$310K - $387K/yr

A full-time Imaging Scientist PhD and dedicated research coordinator are available to support and facilitate Radiology research. Phoenix Valley Growth and Expansion With the rapid population growth ...

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Pediatric Body Radiologist

Sun City, AZ · On-site

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Pediatric Body Radiologist

Phoenix, AZ · Hybrid

$317K - $397K/yr

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Pediatric Body Radiologist

Peoria, AZ · On-site

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Laveen, AZ · On-site

$302K - $378K/yr

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Pediatric Body Radiologist

Glendale, AZ · On-site

$289K - $362K/yr

A full-time Imaging Scientist PhD and dedicated research coordinator are available to support and facilitate Radiology research. Phoenix Valley Growth and Expansion With the rapid population growth ...

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$311K - $389K/yr

A full-time Imaging Scientist PhD and dedicated research coordinator are available to support and facilitate Radiology research. Phoenix Valley Growth and Expansion With the rapid population growth ...

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Pediatric Body Radiologist

Gilbert, AZ · On-site

$319K - $398K/yr

A full-time Imaging Scientist PhD and dedicated research coordinator are available to support and facilitate Radiology research. Phoenix Valley Growth and Expansion With the rapid population growth ...

Phoenix Children's

Pediatric Body Radiologist

Phoenix, AZ · On-site

$317K - $397K/yr

A full-time Imaging Scientist PhD and dedicated research coordinator are available to support and facilitate Radiology research. Phoenix Valley Growth and Expansion With the rapid population growth ...

Phoenix Children's

Pediatric Body Radiologist

Chandler, AZ · On-site

$326K - $408K/yr

A full-time Imaging Scientist PhD and dedicated research coordinator are available to support and facilitate Radiology research. Phoenix Valley Growth and Expansion With the rapid population growth ...

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As of Sep 11, 2026, the average hourly pay for phd radiology in the United States is $20.11, according to ZipRecruiter salary data. Most workers in this role earn between $17.55 and $22.12 per hour, depending on experience, location, and employer.

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Infographic showing various Phd Radiology job openings in the United States as of August 2026, with employment types broken down into 1% Locum Tenens, 4% As Needed, 61% Full Time, 11% Part Time, and 23% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $41,824 per year, or $20.1 per hour.

ML Research Engineer / Scientist (Boston, hybrid)

Boston, MA • On-site

A2z Radiology
See more jobs at A2z Radiologyexternal

$160K - $200K/yr

Other

Posted 9 days ago

Key responsibilities

  • Build and improve models that read entire CT studies and generate radiology reports.

  • Train and evaluate models using large-scale medical imaging data, including real-world CT scans and radiology reports.

  • Own experiments and models end-to-end, from initial idea to deployment and FDA submission.

Job description

Build the model that reads the whole scan.

For over a decade, radiology AI has meant narrow tools that flag one finding and stop. We think that is a dead end. We are building the model that reads a CT the way a radiologist does: the whole study, drafted into the report. Your job is to make that model better, faster than anyone expects.

This is research with a short line to patients. The models you train go through FDA clearance and deploy into live hospital reading rooms. The experiment you run this month can change how real studies get read next quarter.

What you\'ll work on

  • Foundation models that read an entire CT study, not one slice at a time

  • Vision-language learning that ties what the model sees to the language radiologists actually write

  • One model that catches many urgent findings at once, calibrated to operate safely in front of a radiologist

  • Training and evaluation at a scale most researchers never get to touch

  • Research that ships: your models reach FDA submissions, hospital deployments, and patients

You own your models and experiments end to end, from first idea to the operating point that ships.

The data

One of the most exciting datasets in medical AI: real-world CT at ten-million-patient scale, paired with radiology reports and read by our own fellowship-trained radiologists. The raw material most labs only wish they had, and you would train on it from day one.

You'll thrive here if

  • You reach for PyTorch the way most people reach for a notebook: custom architectures, training loops, distributed training

  • You understand why a loss or an architecture works, not just how to call it

  • You design and run your own experiments without waiting to be told

  • You care about rigor and reproducibility, because these models carry clinical weight

Helpful, not required

  • Medical imaging, 3D, or volumetric data

  • Vision-language models or self-supervised learning

  • DICOM, CT, or radiology background

  • A PhD or publications (a real plus, never a gate)

You do not need prior medical-AI experience. You will learn radiology from the clinicians who read alongside the model every day.

Why now

We have FDA-cleared AI: the first commercial system to simultaneously triage seven urgent conditions on abdomen-pelvis CT in the US. From here the path runs to deployment nationally, and soon internationally. We are backed by Khosla Ventures, and we are a small team that ships. Every model you train stays close to the metal: it reaches submissions, deployments, and patients within months. This is the moment clinical AI grows up, and you would have a front-row seat with your hands on the model.

The team

This is a team of builders and researchers. The same people who created CheXpert, CheXZero, and other widely used open datasets and algorithms in radiology AI have shipped FDA-cleared products into live clinical use. Day to day you would work with ML and software engineers and fellowship-trained radiologists across chest, body, MSK, neuro, and oncology who read alongside the model. a2z was co-founded by Pranav Rajpurkar, one of the most-cited researchers in medical AI.

Details

  • Location: Boston (hybrid)

  • Compensation: $160,000–$200,000 base + ~10% bonus. Equity may be offered to top candidates.

  • Work authorization: Must be authorized to work in the United States

One question we would love your take on when you apply: tell us about a model you built, and what you would change if you trained it again.

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