AI-Based Image Reconstruction Scientist – Miami, FL
Are you a scientific innovator passionate about pushing the boundaries of artificial intelligence and medical imaging? We are seeking an AI-Based Image Reconstruction Scientist to join a cutting-edge research and development team in Miami, FL. This is a rare opportunity to drive breakthroughs at the intersection of AI, imaging, and healthcare. If you’re ready to lead research initiatives and develop advanced reconstruction algorithms with real-world impact, we want to hear from you.
Advance the Future of Medical Imaging in Miami
A leading healthcare technology organization in Miami, FL is looking for an AI-Based Image Reconstruction Scientist to pioneer next-generation imaging solutions. The ideal candidate will have a strong background in deep learning, image processing, and computational modeling, with a focus on medical or scientific imaging. This is your chance to contribute to transformative advancements that enhance diagnostics, patient outcomes, and the future of precision medicine.
Key Responsibilities of the AI-Based Image Reconstruction Scientist – Miami, FL
Advanced Algorithm Development: Design, develop, and optimize cutting-edge AI and deep learning algorithms for image reconstruction, enhancement, and analysis. Utilize techniques such as convolutional neural networks (CNNs), generative adversarial networks (GANs), and transformer models for medical imaging applications.
Medical Imaging Innovation: Collaborate with cross-functional teams to advance image acquisition, reconstruction, and processing methodologies in CT, MRI, PET, or related imaging modalities. Contribute to the creation of faster, clearer, and more accurate diagnostic images.
Data-Driven Research: Lead and contribute to research projects involving large-scale medical imaging datasets. Apply machine learning techniques to extract meaningful patterns and insights, ensuring reproducibility and scientific rigor.
Model Training & Evaluation: Build scalable training pipelines, perform rigorous validation, and evaluate model performance using standard metrics. Continuously improve models through hyperparameter tuning, data augmentation, and performance benchmarking.
Technical Collaboration & Knowledge Sharing: Work closely with software engineers, radiologists, data scientists, and academic partners to integrate AI models into real-world workflows. Publish research findings in peer-reviewed journals and present at top AI and healthcare conferences.
Regulatory & Ethical Standards: Ensure all AI solutions are developed in compliance with regulatory requirements, ethical AI practices, and patient data privacy standards such as HIPAA.
Prototype & Product Integration: Translate research prototypes into deployable solutions within clinical or commercial imaging systems. Collaborate with product teams to define technical requirements and implementation strategies.
Continuous Learning & Exploration: Stay up to date with the latest research in AI, deep learning, and medical imaging. Explore novel approaches to solving image reconstruction challenges and evaluate their feasibility for implementation.
Quality & Performance Monitoring: Establish metrics and processes for continuous monitoring of AI model performance in production environments. Identify edge cases, failure points, and opportunities for improvement.
What the Client is Looking for in You
As an AI-Based Image Reconstruction Scientist, the client seeks a driven and innovative researcher with a deep understanding of artificial intelligence, computational imaging, and algorithm development. You should be a problem-solver with a strong scientific foundation and a passion for transforming complex imaging data into meaningful insights through cutting-edge technology.
Expertise in AI and Image Reconstruction
The ideal candidate will have proven experience in AI-driven image reconstruction techniques, including deep learning, convolutional neural networks (CNNs), and other advanced machine learning algorithms. A strong publication record and hands-on experience with frameworks like TensorFlow or PyTorch is highly desirable. Experience in medical imaging (e.g., MRI, CT, PET) is a major advantage.
Strong Computational and Mathematical Skills
The client values candidates with a robust background in applied mathematics, signal processing, and numerical methods. You should be capable of developing and optimizing complex algorithms for large-scale data analysis and reconstruction, ensuring both accuracy and efficiency in model performance.
Innovative Thinker with a Research-Driven Mindset
This role calls for a visionary thinker who thrives in an R&D environment. You should be comfortable designing experiments, publishing findings, and contributing to peer-reviewed journals and conferences. Your ability to translate scientific theory into practical, real-world applications will set you apart.
Collaborative and Communication Skills
While highly technical, this role also requires excellent communication and teamwork skills. The client is looking for a scientist who can work cross-functionally with software engineers, radiologists, and product development teams. The ability to clearly explain complex ideas to non-technical stakeholders is crucial.
Commitment to Scientific Excellence and Integrity
The client seeks individuals who uphold the highest standards of research integrity and scientific rigor. A commitment to reproducibility, ethical AI practices, and continuous learning is essential to thrive in this role.
Passion for Improving Healthcare Through Technology
Ultimately, the ideal candidate is someone who is deeply motivated to improve patient outcomes through advanced imaging science. If you are passionate about using AI to revolutionize medical diagnostics and healthcare delivery, this opportunity offers a chance to make a significant impact.
FAQs About the Role – AI-Based Image Reconstruction Scientist – Miami, FL
1. What are the key responsibilities of the AI-Based Image Reconstruction Scientist?
As an AI-Based Image Reconstruction Scientist, your primary responsibilities include developing and implementing advanced algorithms for image reconstruction using AI and deep learning techniques. You will conduct experimental research, collaborate with cross-disciplinary teams, publish findings, and contribute to the development of state-of-the-art imaging systems used in healthcare diagnostics and research.
2. What qualifications and experience are required for this position?
The ideal candidate should have a Ph.D. or Master’s degree in Computer Science, Electrical Engineering, Biomedical Engineering, or a related field with a focus on image processing or machine learning. Experience with medical imaging modalities (such as MRI, CT, or PET), a strong background in AI frameworks like TensorFlow or PyTorch, and a proven record of research or publications in relevant areas are highly desirable.
3. What technical skills are essential for success in this role?
Strong proficiency in deep learning, computer vision, and image reconstruction techniques is essential. You should also have a solid foundation in programming (Python, C++, or MATLAB), experience with AI model development, and the ability to handle large imaging datasets efficiently. Familiarity with cloud computing or high-performance computing environments is a plus.
4. What are the key challenges in this role?
You may face challenges related to managing high-dimensional and noisy imaging data, ensuring model accuracy and generalizability, and optimizing algorithm performance for clinical applications. Staying current with evolving AI technologies and translating research into scalable, real-world solutions in a regulated industry can also be demanding.
5. How does this role contribute to the broader mission of the organization?
This role plays a vital part in advancing medical imaging technology to improve diagnostic accuracy, reduce scan times, and enhance patient outcomes. Your work will directly impact healthcare innovation, supporting the development of intelligent imaging solutions that aid clinicians in delivering faster, more precise diagnoses.
6. What is the working environment and culture like?
The organization promotes a collaborative, research-intensive, and innovation-driven environment. Scientists, engineers, and clinicians work together toward a shared mission of revolutionizing healthcare through technology. You’ll be encouraged to explore novel ideas, publish your research, and grow professionally in a dynamic, interdisciplinary setting.
What Remuneration Can You Expect from This Job?
As an AI-Based Image Reconstruction Scientist in Miami, FL, you can expect a competitive and comprehensive compensation package that reflects the advanced expertise, innovation, and research contributions expected in this specialized role. The remuneration typically includes:
1. Base Salary
The base salary for an AI-Based Image Reconstruction Scientist depends on experience, academic credentials, and the complexity of the projects. On average, you can expect a base salary ranging from $110,000 to $160,000 annually. Candidates with a Ph.D. and extensive research experience may command higher starting salaries.
2. Performance-Based Bonuses
Many employers offer annual performance-based bonuses, which are tied to individual contributions, project milestones, research impact, and team performance. These bonuses typically range from 10% to 20% of the base salary and reward innovation, scientific publications, or successful product development.
3. Equity & Stock Options
For roles within high-growth startups or established technology companies, equity compensation may be offered in the form of stock options or restricted stock units (RSUs). These incentives provide long-term financial rewards and align your success with the company’s growth trajectory.
4. Research Grants & Funding Opportunities
In academic or research-driven organizations, you may receive internal research funding or support for grant applications. This allows for ongoing exploration of cutting-edge topics and publication in top-tier journals, enhancing both compensation and professional reputation.
5. Benefits & Perks
A comprehensive benefits package may include:
Health, dental, and vision insurance
401(k) retirement plans with employer matching
Paid time off, including vacation, holidays, and sick leave
Professional development support (conferences, journals, workshops)
Access to high-performance computing and advanced research tools
Remote or hybrid work options, depending on the organization
6. Relocation Assistance & Signing Bonuses
If you’re relocating to Miami or being recruited from another region, employers may offer relocation assistance and signing bonuses, which typically range from $5,000 to $20,000, depending on company policy and candidate qualifications.
Total Compensation Potential
When combining salary, performance incentives, equity, and benefits, the total annual compensation package for an AI-Based Image Reconstruction Scientist can range from $130,000 to over $200,000, especially in research-intensive or commercially successful environments.
How to Apply
If you are a highly skilled researcher or engineer with a passion for cutting-edge AI applications in medical or computational imaging, we encourage you to apply for the AI-Based Image Reconstruction Scientist role in Miami, FL. This is an exceptional opportunity to contribute to transformative research and innovation in a dynamic and collaborative environment.
To apply, please submit your resume/CV along with a cover letter that highlights your experience in AI and machine learning techniques, deep learning model development, image reconstruction methodologies, and interdisciplinary research collaboration. Emphasize any contributions to peer-reviewed publications, patents, or product development in related fields.
This role offers the chance to work on advanced imaging technologies that have real-world clinical and scientific impact. If you’re ready to push the boundaries of AI-driven medical imaging, apply now to join a forward-thinking team shaping the future of computational diagnostics.
For more information or to explore similar opportunities in AI, data science, or biomedical research, visit our AI & Imaging Talent Network page.
Tags:
AI Image Reconstruction | Deep Learning Scientist | Machine Learning Engineer | Biomedical Imaging | Computational Imaging | AI Research Jobs | Imaging Science | Medical Technology | Miami Tech Jobs | Research & Development | AI in Healthcare
