Tulane University - New Orleans, LA

posted 3 months ago

Full-time
New Orleans, LA
Educational Services

About the position

The Biomedical Engineer position at Tulane's School of Science and Engineering involves developing and implementing innovative approaches for processing and analyzing medical imagery. This role is critical in a multi-year project aimed at improving surgical outcomes for prostate and colorectal cancer patients. The project focuses on rapidly scanning tumor excisions with high resolution and precision, utilizing advanced machine learning techniques to detect residual tumor cells on the surface. The successful candidate will work closely with a multidisciplinary team, ensuring the project's success by bridging the gap between technical and medical experts. The project aims to create a state-of-the-art device that can scan and present results to surgeons in real-time during operations. This cutting-edge technology is expected to be at the forefront of cancer treatment, significantly enhancing the capabilities of surgical teams in identifying and addressing residual tumors. The Biomedical Engineer will play a pivotal role in the design, development, and implementation of this device, contributing to advancements in medical technology and patient care. Candidates will be expected to demonstrate proficiency in Python development or equivalent programming skills, as well as a strong understanding of digital image techniques relevant to medical image processing and analysis. The role requires a combination of technical expertise and the ability to communicate effectively with both technical and medical professionals, ensuring that the project meets its objectives and delivers impactful results.

Responsibilities

  • Develop and implement approaches for processing and analyzing medical imagery.
  • Utilize advanced machine learning techniques to detect residual tumor cells.
  • Collaborate with a multidisciplinary team to ensure project success.
  • Design and develop a device for real-time scanning and result presentation during surgeries.
  • Bridge communication between technical and medical experts.

Requirements

  • Bachelor's Degree in Biomedical Engineering or Computer Technology.
  • 3 years of experience in advanced computer technology.
  • Proficiency in Python development or equivalent.
  • Proficiency in digital image techniques for medical image processing and analysis.
  • Ability to work with and communicate effectively with technical and medical experts.

Nice-to-haves

  • Ph.D. in a relevant discipline or a Master's Degree in a relevant discipline.
  • Applied machine learning experience.
  • Background in microscopy and/or digital pathology.
  • Strong analytical and problem-solving skills.
  • Excellent communication and teamwork abilities.
  • Ability to work independently and manage multiple projects simultaneously.

Benefits

  • Health and well-being options to enhance life now and in the future.
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