Postdoctoral Associate- Computer Scientist

$62,000 - $62,000/Yr

Baylor College of Medicine - Houston, TX

Full-time - Entry Level

Houston, TX

Educational Services

About the position

The Postdoctoral Associate in Computer Science at Baylor College of Medicine's Department of Radiology will engage in innovative research focused on machine learning and artificial intelligence applications in medical imaging. This role involves developing algorithms to enhance the accuracy and efficiency of radiological diagnoses, contributing to a collaborative team environment that includes engineers, clinicians, and researchers.

Responsibilities

• Designs, develops, and implements innovative machine learning and deep learning algorithms to analyze medical images like CT scans, MRIs, and PET scans.
• Researches various applications, including image segmentation, classification, object detection, and image reconstruction.
• Collaborates with radiologists and clinicians to identify critical clinical needs and ensure effective translation of research findings into clinical practice.
• Prepares and analyzes large-scale medical imaging datasets and evaluates the performance of developed algorithms.
• Publishes research findings in peer-reviewed journals and presents at scientific conferences.
• Contributes to grant proposal writing and research project management.
• Mentors and trains junior researchers and students.

Requirements

• MD or Ph.D. in Basic Science, Health Science, or a related field.
• No experience required.

Nice-to-haves

• Ph.D. in Computer Science, Biomedical Engineering, or a related field.
• Strong background in machine learning, deep learning, and computer vision.
• Proficiency in programming languages such as Python and relevant deep learning frameworks (e.g., TensorFlow, PyTorch).
• Excellent analytical, problem-solving, and communication skills.
• Ability to work independently and as part of a multidisciplinary team.
• Experience with medical image analysis and processing.
• Familiarity with medical imaging modalities and radiology workflows.
• Experience with cloud computing platforms (e.g., AWS, Google Cloud).
• Knowledge of human and rodent anatomy, image registration, segmentation.
• Contributions to open-source projects or scientific publications in relevant fields.