Spectral AI
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Data Scientist
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Spectral AI Join to apply for the
Data Scientist
role at
Spectral AI Position Summary
We are seeking a motivated Data Scientist to research, develop, and enhance machine learning and deep learning algorithms that drive innovative healthcare solutions. This role involves maintaining high data quality standards, collaborating with clinical and business partners to understand their needs, and translating advanced research into practical applications. The ideal candidate will assist in building and improving deep learning frameworks, manage projects independently, and work effectively both individually and within cross-functional teams. Staying current with emerging technologies and demonstrating strong communication, attention to detail, and persistence are essential for success in this role. Research, develop, and enhance machine learning and deep learning algorithms and frameworks for computer vision applications, translating cutting-edge research into practical healthcare solutions. Implement and optimize deployment pipelines for trained models to enable efficient, scalable, and hardware-optimized inference. Apply model optimization techniques to reduce computational overhead while preserving accuracy. Maintain data quality and integrity across the data lifecycle to support robust algorithm development and model training. Collaborate with clinical partners and internal stakeholders to understand needs and deliver AI solutions that improve model performance. Assist in writing deep learning framework templates, identifying improvement areas, and implementing new model architectures. Manage projects independently and contribute effectively as part of a team, ensuring reproducible analyses, clear documentation, and knowledge sharing. Stay updated with the latest data science methods, technologies, and industry trends. Demonstrate strong communication skills, persistence, attention to detail, and a drive to complete research projects end-to-end.
Position Summary
We are seeking a motivated Data Scientist to research, develop, and enhance machine learning and deep learning algorithms that drive innovative healthcare solutions. This role involves maintaining high data quality standards, collaborating with clinical and business partners to understand their needs, and translating advanced research into practical applications. The ideal candidate will assist in building and improving deep learning frameworks, manage projects independently, and work effectively both individually and within cross-functional teams. Staying current with emerging technologies and demonstrating strong communication, attention to detail, and persistence are essential for success in this role.
Essential Duties And Responsibilities
Research, develop, and enhance machine learning and deep learning algorithms and frameworks for computer vision applications, translating cutting-edge research into practical healthcare solutions. Implement and optimize deployment pipelines for trained models to enable efficient, scalable, and hardware-optimized inference. Apply model optimization techniques to reduce computational overhead while preserving accuracy. Maintain data quality and integrity across the data lifecycle to support robust algorithm development and model training. Collaborate with clinical partners and internal stakeholders to understand needs and deliver AI solutions that improve model performance. Assist in writing deep learning framework templates, identifying improvement areas, and implementing new model architectures. Manage projects independently and contribute effectively as part of a team, ensuring reproducible analyses, clear documentation, and knowledge sharing. Stay updated with the latest data science methods, technologies, and industry trends. Demonstrate strong communication skills, persistence, attention to detail, and a drive to complete research projects end-to-end.
Qualifications
M.S. or Ph.D. in Computer Science, Electrical Engineering, Biomedical Engineering, Statistics, Applied Mathematics or related field.
Knowledge, Skills, And Abilities
Strong foundation in state-of-the-art deep learning architectures (e.g., vision transformers) for computer vision tasks including image classification, object detection, and semantic segmentation. Proficiency in deep learning libraries and frameworks, including PyTorch and TensorFlow. Proficiency in C++ regarding object-oriented programming, data structure and performance optimization technique. Solid knowledge of model optimization techniques, such as pruning, quantization, mixed-precision inference, and other performance-enhancing strategies. Solid knowledge of model deployment tools, including ONNX, LibTorch, and TensorRT. Strong grasp of model evaluation metrics, benchmarking, and best practices for computer vision model validation. Self-driven with the ability to deliver on ambiguous projects with incomplete data. Excellent written communication skills, especially in writing technical manuscripts.
Bonus
Experience and knowledge in healthcare domain with successful outcomes. Experience with CUDA programming for developing custom GPU kernels, optimizing computational performance, and accelerating deep learning workflows.
Physical Requirements
Prolonged periods of sitting at a desk and working on a computer.
Travel
N/A
Equal Employment Opportunity
Spectral MD, Inc. is an equal opportunity and affirmative action employer. All applicants will be considered for employment without regard to race, color, ancestry, national origin, sex, gender, sexual orientation, marital status, religion, age, disability, gender identity, results of genetic testing, protected veteran status, or any other characteristic protected by applicable federal, state or local laws.
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Data Scientist
role at
Spectral AI Join to apply for the
Data Scientist
role at
Spectral AI Position Summary
We are seeking a motivated Data Scientist to research, develop, and enhance machine learning and deep learning algorithms that drive innovative healthcare solutions. This role involves maintaining high data quality standards, collaborating with clinical and business partners to understand their needs, and translating advanced research into practical applications. The ideal candidate will assist in building and improving deep learning frameworks, manage projects independently, and work effectively both individually and within cross-functional teams. Staying current with emerging technologies and demonstrating strong communication, attention to detail, and persistence are essential for success in this role. Research, develop, and enhance machine learning and deep learning algorithms and frameworks for computer vision applications, translating cutting-edge research into practical healthcare solutions. Implement and optimize deployment pipelines for trained models to enable efficient, scalable, and hardware-optimized inference. Apply model optimization techniques to reduce computational overhead while preserving accuracy. Maintain data quality and integrity across the data lifecycle to support robust algorithm development and model training. Collaborate with clinical partners and internal stakeholders to understand needs and deliver AI solutions that improve model performance. Assist in writing deep learning framework templates, identifying improvement areas, and implementing new model architectures. Manage projects independently and contribute effectively as part of a team, ensuring reproducible analyses, clear documentation, and knowledge sharing. Stay updated with the latest data science methods, technologies, and industry trends. Demonstrate strong communication skills, persistence, attention to detail, and a drive to complete research projects end-to-end.
Position Summary
We are seeking a motivated Data Scientist to research, develop, and enhance machine learning and deep learning algorithms that drive innovative healthcare solutions. This role involves maintaining high data quality standards, collaborating with clinical and business partners to understand their needs, and translating advanced research into practical applications. The ideal candidate will assist in building and improving deep learning frameworks, manage projects independently, and work effectively both individually and within cross-functional teams. Staying current with emerging technologies and demonstrating strong communication, attention to detail, and persistence are essential for success in this role.
Essential Duties And Responsibilities
Research, develop, and enhance machine learning and deep learning algorithms and frameworks for computer vision applications, translating cutting-edge research into practical healthcare solutions. Implement and optimize deployment pipelines for trained models to enable efficient, scalable, and hardware-optimized inference. Apply model optimization techniques to reduce computational overhead while preserving accuracy. Maintain data quality and integrity across the data lifecycle to support robust algorithm development and model training. Collaborate with clinical partners and internal stakeholders to understand needs and deliver AI solutions that improve model performance. Assist in writing deep learning framework templates, identifying improvement areas, and implementing new model architectures. Manage projects independently and contribute effectively as part of a team, ensuring reproducible analyses, clear documentation, and knowledge sharing. Stay updated with the latest data science methods, technologies, and industry trends. Demonstrate strong communication skills, persistence, attention to detail, and a drive to complete research projects end-to-end.
Qualifications
M.S. or Ph.D. in Computer Science, Electrical Engineering, Biomedical Engineering, Statistics, Applied Mathematics or related field.
Knowledge, Skills, And Abilities
Strong foundation in state-of-the-art deep learning architectures (e.g., vision transformers) for computer vision tasks including image classification, object detection, and semantic segmentation. Proficiency in deep learning libraries and frameworks, including PyTorch and TensorFlow. Proficiency in C++ regarding object-oriented programming, data structure and performance optimization technique. Solid knowledge of model optimization techniques, such as pruning, quantization, mixed-precision inference, and other performance-enhancing strategies. Solid knowledge of model deployment tools, including ONNX, LibTorch, and TensorRT. Strong grasp of model evaluation metrics, benchmarking, and best practices for computer vision model validation. Self-driven with the ability to deliver on ambiguous projects with incomplete data. Excellent written communication skills, especially in writing technical manuscripts.
Bonus
Experience and knowledge in healthcare domain with successful outcomes. Experience with CUDA programming for developing custom GPU kernels, optimizing computational performance, and accelerating deep learning workflows.
Physical Requirements
Prolonged periods of sitting at a desk and working on a computer.
Travel
N/A
Equal Employment Opportunity
Spectral MD, Inc. is an equal opportunity and affirmative action employer. All applicants will be considered for employment without regard to race, color, ancestry, national origin, sex, gender, sexual orientation, marital status, religion, age, disability, gender identity, results of genetic testing, protected veteran status, or any other characteristic protected by applicable federal, state or local laws.
Seniority level
Seniority level
Entry level Employment type
Employment type
Full-time Job function
Job function
Engineering and Information Technology Referrals increase your chances of interviewing at Spectral AI by 2x Get notified about new Data Scientist jobs in
Dallas, TX . Dallas, TX $60,000.00-$65,000.00 7 hours ago Dallas, TX $125,000.00-$170,000.00 3 weeks ago Front-end Developer (JS, TypeScript, CSS3,REST)
Dallas, TX $140,000.00-$160,000.00 2 months ago Richardson, TX $126,500.00-$182,000.00 1 day ago Plano, TX $64,300.00-$98,300.00 3 weeks ago Dallas, TX $140,000.00-$160,000.00 5 days ago Irving, TX $130,000.00-$145,000.00 2 months ago AI Front End UI Developer (early career)
Dallas, TX $120,000.00-$145,000.00 1 month ago Software Engineer I - Java (Richardson, TX)
Dallas, TX $70,000.00-$82,000.00 2 weeks ago Were unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr