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Machine Learning Medical Imaging Phd Jobs (NOW HIRING)

Citadel Securities

$4.5K - $5.8K/wk

PhD degree in mathematics, statistics, physics, computer science, or another highly quantitative field * Advanced training and strong research track record in statistics, machine learning, AI, or ...

Citadel Securities

$4.5K - $5.8K/wk

PhD degree in mathematics, statistics, physics, computer science, or another highly quantitative field * Advanced training and strong research track record in statistics, machine learning, AI, or ...

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Machine Learning Medical Imaging Phd information

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$66K

$90.8K

$128.5K

How much do machine learning medical imaging phd jobs pay per year?

As of Sep 9, 2026, the average yearly pay for machine learning medical imaging phd in the United States is $90,812.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What does a Machine Learning Medical Imaging PhD do?

A Machine Learning Medical Imaging PhD applies advanced machine learning and artificial intelligence techniques to analyze and interpret medical images such as X-rays, MRIs, or CT scans. Their work often involves developing new algorithms to improve disease detection, automate image analysis tasks, and assist clinicians in making accurate diagnoses. They may collaborate with medical professionals, data scientists, and engineers to bring innovative solutions to healthcare challenges. These experts also conduct research to advance the field and publish their findings in scientific journals.

What are the typical collaborative interactions for a Machine Learning Medical Imaging PhD in a multidisciplinary team?

As a Machine Learning Medical Imaging PhD, you will frequently collaborate with radiologists, data scientists, software engineers, and clinicians. Your role often involves translating clinical needs into technical solutions, interpreting imaging data with medical experts, and integrating algorithms into existing healthcare workflows. Effective communication and teamwork are essential, as you may participate in cross-functional meetings, contribute to research publications, and assist with regulatory documentation. This multidisciplinary environment fosters both technical growth and a deeper understanding of clinical challenges.

What are the key skills and qualifications needed to thrive as a Machine Learning Medical Imaging PhD, and why are they important?

To thrive as a Machine Learning Medical Imaging PhD, you need advanced expertise in machine learning, deep learning, and image processing, typically supported by a PhD in computer science, biomedical engineering, or a related field. Proficiency with programming languages such as Python, frameworks like TensorFlow or PyTorch, and experience with medical imaging systems (e.g., MRI, CT) are essential. Strong analytical thinking, problem-solving abilities, and effective scientific communication are key soft skills that distinguish top candidates. These skills are crucial for developing innovative solutions that advance medical diagnostics and research while facilitating collaboration across multidisciplinary teams.

What are popular job titles related to Machine Learning Medical Imaging Phd jobs?

For Machine Learning Medical Imaging Phd jobs, the most frequently searched job titles are:

Infographic showing various Machine Learning Medical Imaging Phd job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $90,812 per year, or $43.7 per hour.

Machine Learning Researcher - PhD Intern (US)

Manhattan, NY

Citadel
See more jobs at Citadelexternal

$112.50 - $145/hr

Full-time

Re-posted 9 days ago

Job description

Job Description

At Citadel, our mission is to be the most successful investment team in the world. Machine Learning Researchers play a key role in this mission by developing next-generation models and trading approaches for a range of investment strategies. You'll get to challenge the impossible in quantitative research by applying sophisticated and complex statistical techniques to financial markets, some of the most complex data sets in the world.

Your Objectives

  • Use statistics, machine learning (e.g. deep learning, NLP) to extract patterns from various kinds of datasets through innovative and rigorous research
  • Implement algorithms in high-quality code
  • Work with large data sets, including unconventional and unstructured data sources
  • Back-test models and document research findings

Your Skills & Talents

  • PhD degree in mathematics, statistics, physics, computer science, or another highly quantitative field
  • Advanced training and a strong research track record in machine learning, statistics, deep learning, natural language processing, artificial intelligence, or a closely related quantitative field
  • Prior experience working in a data driven detailed research environment
  • Hands on programming experience in Python or C++
  • A background demonstrating strong problem-solving skills
  • An ability to communicate advanced concepts in a concise and logical way
  • Proficiency in creating and using algorithms to meticulously investigate and work through large data or error-checking problems

Opportunities available in New York, Miami, Greenwich, and Houston.

In accordance with applicable law, the base salary range for this role is $4,500 to $5,800 per week.

About Citadel

Citadel is one of the world's leading alternative investment managers. We manage capital on behalf of many of the world's preeminent private, public and nonprofit institutions. We seek the highest and best use of investor capital in order to deliver market leading results and contribute to broader economic growth. For over 30 years, Citadel has cultivated a culture of learning and collaboration among some of the most talented and accomplished investment professionals, researchers and engineers in the world. Our colleagues are empowered to test their ideas and develop commercial solutions that accelerate their growth and drive real impact.

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