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Imaging Ai Scientist Jobs (NOW HIRING)

Hyperfine

Senior AI Scientist

Guilford, CT · On-site

$160K - $185K/yr

HYPR) is the groundbreaking health technology company that has redefined brain imaging with the ... Senior AI Scientist Location: Guilford, Connecticut The Senior AI Scientist is a talented and ...

Hyperfine

Senior AI Scientist

Palo Alto, CA · Hybrid

$107K - $146K/yr

HYPR) is the groundbreaking health technology company that has redefined brain imaging with the ... Senior AI Scientist Location: Palo Alto, CA (Hybrid, 3 days/week) The Senior AI Scientist is a ...

Gehc

AI Scientist

North East, PA · On-site

Summary The Senior Staff AI Scientist will work in teams addressing statistical, machine learning ... Experience with high-dimensional imaging data and waveform/time-series data. Preferred ...

Hyperfine

Senior AI Scientist

Palo Alto, CA · On-site +1

$107K - $146K/yr

HYPR) is the groundbreaking health technology company that has redefined brain imaging with the ... Senior AI Scientist Location:Palo Alto, CA (Hybrid, 3 days/week) The Senior AI Scientist is a ...

Hyperfine

Senior AI Scientist

Palo Alto, CA · Hybrid

$107K - $146K/yr

HYPR) is the groundbreaking health technology company that has redefined brain imaging with the ... Senior AI Scientist Location: Palo Alto, CA (Hybrid, 3 days/week) The Senior AI Scientist is a ...

Hyperfine

Senior AI Scientist

Guilford, CT · On-site

$160K - $185K/yr

HYPR) is the groundbreaking health technology company that has redefined brain imaging with the ... Senior AI Scientist Location:Guilford, Connecticut The Senior AI Scientist is a talented and ...

Clera

Medical AI Researcher

San Francisco, CA · On-site

$150K - $230K/yr

As a Medical AI Researcher, you'll work directly with medical imaging companies preparing FDA ... Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field -- or ...

Clera

Medical AI Researcher

San Francisco, CA · On-site

$150K - $230K/yr

As a Medical AI Researcher, you'll work directly with medical imaging companies preparing FDA ... Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field - or equivalent ...

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Imaging Ai Scientist information

What is the difference between Imaging Ai Scientist vs Medical Imaging Analyst?

AspectImaging Ai ScientistMedical Imaging Analyst
Required CredentialsMaster's or PhD in Computer Science, AI, or related fields; experience with machine learning and image processingBachelor's or Master's in Radiology, Medical Imaging, or related health sciences; familiarity with imaging software
Work EnvironmentResearch labs, tech companies, AI startups focusing on developing imaging algorithmsHospitals, clinics, healthcare facilities analyzing medical images for diagnosis
Employer & Industry UsageTech companies, AI research institutions, healthcare tech firmsHealthcare providers, radiology departments, medical research institutions

Imaging Ai Scientists focus on developing and improving AI algorithms for imaging applications, often working in research or tech environments. Medical Imaging Analysts interpret and analyze medical images to assist in diagnosis within healthcare settings. While both roles involve imaging, their primary functions and work environments differ significantly.

What is an Imaging AI Scientist?

Imaging AI Scientists are professionals who develop and apply artificial intelligence and machine learning techniques to analyze and interpret imaging data, such as medical scans, satellite images, or industrial images. They combine expertise in computer vision, deep learning, and domain-specific knowledge to create algorithms that can detect patterns, diagnose conditions, or automate image-based tasks. Imaging AI Scientists often work in healthcare, research, or technology industries, collaborating with engineers, clinicians, and researchers to improve image analysis and decision-making processes.

What are the key skills and qualifications needed to thrive as an Imaging AI Scientist, and why are they important?

To thrive as an Imaging AI Scientist, you need a solid background in computer vision, machine learning, and image processing, often supported by an advanced degree in computer science, engineering, or a related field. Familiarity with programming languages like Python, deep learning frameworks (such as TensorFlow or PyTorch), and experience with medical imaging systems or datasets are typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help you collaborate with interdisciplinary teams and present complex findings clearly. These skills and qualities are crucial for developing accurate AI models, driving innovation, and ensuring results are actionable and aligned with project goals.

How does an Imaging AI Scientist typically work with cross-functional teams in developing new imaging solutions?

Imaging AI Scientists frequently collaborate with multidisciplinary teams, including radiologists, software engineers, and data analysts, to develop and refine advanced imaging algorithms. They play a key role in translating clinical requirements into technical solutions, ensuring that AI models meet both scientific and practical standards. Regular communication and feedback loops are essential, as Imaging AI Scientists must often adapt their models based on real-world data and user input. This collaborative environment fosters innovation and ensures that AI solutions are both effective and aligned with healthcare needs.
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Imaging Ai Scientist jobs near you
Infographic showing various Imaging Ai Scientist job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution.

Senior AI Scientist

Hyperfine

Guilford, CT • On-site

$160K - $185K/yr

Full-time

Re-posted 16 days ago

Job description

About Us

Hyperfine, Inc. (Nasdaq: HYPR) is the groundbreaking health technology company that has redefined brain imaging with the Swoop system-the first FDA-cleared, portable, ultra-low-field, magnetic resonance brain imaging system capable of providing imaging at multiple points of care in a healthcare facility. Our mission is to revolutionize patient care globally through transformational, accessible, clinically relevant diagnostic imaging. Learn More

About The Role

Job Title: Senior AI Scientist

Location: Guilford, Connecticut

The Senior AI Scientist is a talented and experienced Scientist with applied experience in Machine Learning who will innovate and expand our product capabilities. The goal of this role is to develop techniques that solve a wide range of challenging scientific and clinical problems in MRI aimed at improving patient outcomes. You will introduce new algorithms and machine learning models that solve difficult imaging tasks, make our models more accurate and robust, and introduce entirely new approaches.

Key Responsibilities

  • Coordinate tasks and goals with other scientists, software engineers, and a clinical team to help develop a new suite of intelligent medical products. 
  • Rapidly prototype deep learning models including, but not limited to, classification, detection, segmentation, reconstruction, super-resolution, and denoising; iterate on training models with fast turnaround time. 
  • Design and develop new machine learning algorithms while keeping abreast of the latest advances across various labs and conferences. 
  • Maintain and continuously improve our existing DL models, with new training data and modeling techniques. 
  • Support software releases, and regulatory documentation. 

Knowledge, Skill & Abilities:

  • Ability to design new algorithms for practical problems on real-world datasets. 
  • Ability to quickly learn new concepts and apply to research and development process in an iterative and incremental fashion. 
  • Ability to work efficiently and clear roadblocks in timely manner. 
  • Adaptability to fast-changing work environment. 
  • Strong communication skills and proactiveness for working in a cross-functional collaborative environment. 

Required Education & Experience:

  • PhD in a relevant field, or MS (or equivalent) with 2+ years of applied experience.
  • Experience in Computer Vision, Medical Image Analysis, Machine Learning, or Deep Learning.
  • Experience working with Medical Images and Magnetic Resonance Images.
  • Software engineering experience in developing and maintaining systems using Python. 
  • Programming experience in PyTorch and/or TensorFlow.

Physical Demands:

  • This is a full-time, on-site role based out of Hyperfine's office in Guilford, CT.
  • Available nights, weekends, and holidays as business needs require.

Work Authorization: Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship now or in the future of any employment Visa.

Compensation: The annual base salary for this position is between $160,000 - $185,000. This position is also eligible for to participate in Hyperfine's corporate bonus and equity plans. Individual compensation packages are based on various factors unique to each candidate including skill set, relevant experience, qualifications, location, position level, and other job-related reasons.

Agency Resumes: We do not accept resumes from recruitment agencies without a prior agreement in place. Any unsolicited resumes submitted by agencies will be considered the property of Hyperfine and will not be subject to any fees or charges if the candidate is hired.

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