2

Remote Medical Image Deep Learning Jobs in Chesterton, IN

Developing and applying deep learning approaches for remote homology detection * Investigating multi-family VAE models to enable protein design when sequence support is limited or when optimizing ...

Developing and applying deep learning approaches for remote homology detection * Investigating multi-family VAE models to enable protein design when sequence support is limited or when optimizing ...

Customer Success Manager

Chicago, IL · Remote

$75K - $85K/yr

Experience in Image Recognition (IR) or AI/Deep Learning is a huge plus. * Your written ... Remote-first work environment. * Generous medical, dental, and vision insurance coverage. * Company ...

Founded in 2017, OneTrack combines computer vision, deep learning, and low-cost edge sensors to ... PTO and Flexible working hours and remote work options * Opportunities for professional growth and ...

Medical Coder - Remote

Chicago, IL · Remote

$50 - $80/hr

Job Title: Medical Coder Job Type: Contractor Location: Remote Job Overview We are seeking ... Commitment to accuracy, quality, and continuous learning in healthcare coding and technology

Sr. Data Scientist

Chicago, IL · Remote

$85 - $100/hr

Remote Contract Pay: $85/hr - $100/hr The Senior Data Scientist will design and implement AI ... Expertise in building machine learning models, including supervised, unsupervised, and deep ...

next page

Showing results 1-20

Remote Medical Image Deep Learning information

See Chesterton, IN salary details

$16

$20

$22

How much do remote medical image deep learning jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for remote medical image deep learning in Chesterton, IN is $20.43, according to ZipRecruiter salary data. Most workers in this role earn between $17.12 and $21.68 per hour, depending on experience, location, and employer.

What is the difference between Remote Medical Image Deep Learning vs Remote Medical Imaging Technician?

AspectRemote Medical Image Deep LearningRemote Medical Imaging Technician
CredentialsBackground in AI, machine learning, or computer science; often requires advanced degreesCertification in radiologic technology or imaging; typically requires licensing
Work EnvironmentPrimarily remote, focused on data analysis and model developmentRemote or on-site, involved in image acquisition and processing
Industry UsageUsed in healthcare AI development, research, and diagnostics supportUsed in hospitals, clinics, and imaging centers for patient care

Remote Medical Image Deep Learning focuses on developing AI models to analyze medical images, requiring expertise in AI and data science. In contrast, Remote Medical Imaging Technicians handle image acquisition and processing, often with clinical certifications. Both roles are vital in healthcare but differ in skills, responsibilities, and work environment.

What are popular job titles related to Remote Medical Image Deep Learning jobs in Chesterton, IN?

For Remote Medical Image Deep Learning jobs in Chesterton, IN, the most frequently searched job titles are:

Staff AI Scientist - AI Products / Life Sciences

Chicago, IL • On-site, Remote

$220K - $260K/yr

Full-time

Re-posted 13 days ago


Job description

Passionate about precision medicine and advancing the healthcare industry?

Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.

At Tempus, we are pursuing a mission to redefine precision medicine through data-driven insights. The AI Products group is a multidisciplinary group of AI scientists and engineers focused on developing AI-driven precision medicine and therapeutic solutions across the clinical and drug development lifecycle.

As a Staff AI Scientist, you will operate at the intersection of machine learning and clinical science. You will research, design, and deploy cutting-edge multimodal AI models that leverage one of the world's largest clinical and molecular datasets-transforming patient care at a massive scale.

Key Responsibilities

  • Technical Leadership: This is a high-impact individual contributor role, while significant hands-on contribution is expected. Architect and lead the development of AI-intensive projects from initial research to production-ready design.

  • Algorithmic Innovation: Design and train state-of-the-art models utilizing multi-modal data, including but not limited to pathology slides (WSI), genomic profiles (DNA/RNA), spatial omics, and longitudinal patient records.

  • Collaboration with Life Sciences Companies: Develop sophisticated AI solutions to support biomarker discovery, therapy outcome prediction, and the advancement of Companion Diagnostics (CDx).

  • Regulatory Alignment: Ensure all AI products meet stringent regulatory guidelines and quality standards for healthcare applications.

  • Scientific Contribution: Maintain Tempus's position as a thought leader by publishing original research in high-impact venues and engaging with the global AI research community.

Qualifications

We value diverse perspectives and recognize that outstanding talent doesn't always follow a linear path. If you are passionate about this work and believe you have what it takes to thrive here, please apply even if you do not precisely match all the qualifications below.

  • Education: Ph.D. in Computer Science, or a related quantitative field.

  • Professional Experience: 3+ years of industry experience leading end-to-end development of machine learning models, from research and experimentation to validation and production deployment.

  • Domain Expertise: Demonstrated expertise in large-scale deep learning and training production-grade models is required. Experience in computer vision and multimodal modeling (pathology, multi-omics, etc.) is preferred. Prior work in medical or healthcare AI is highly valued but not required.

  • Research Excellence: A strong track record of peer-reviewed publications in leading machine learning or computer vision venues. Publications in medical or healthcare AI venues are preferred.

  • Engineering Excellence: Proficiency in Python and the modern deep learning stack (e.g. Pytorch). Strong product-level coding skills for model development are essential, along with a solid understanding of industry-standard software engineering and development practices.

New York Pay Range - $220,000-$260,000USD

California Pay Range - $220,000-$260,000USD

Illinois Pay Range - $200,000-$240,000USD

Remote - USA Range - $200,000-$240,000USD

The expected salary range above is applicable if the role is performed from California and may vary for other locations (Colorado, Illinois, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position.

Additionally,for remote roles open to individuals in unincorporated Los Angeles - including remote roles-Tempus reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: engaging positively with customers and other employees; accessing confidential information, including intellectual property, trade secrets, and protected health information; and appropriately handling such information in accordance with legal and ethical standards. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.