Medical Automation Engineer Position Available In Orleans, Louisiana
Tallo's Job Summary: Join Tulane's School of Science and Engineering in New Orleans as a Medical Automation Engineer for the ARPA-H Cancer Moonshot project. Design cutting-edge automated systems for real-time tumor scanning during cancer surgeries, utilizing machine learning technology. Requires a Bachelor's Degree and 2 years of experience in relevant fields. Shape the future of cancer treatment with this innovative role.
Job Description
Medical Automation EngineerBiomedical Engineering Location:
New Orleans, LA Summary Be a Pioneer in Cancer Treatment Innovation with ARPA-H Cancer Moonshot at Tulane! Are you ready to make a transformative impact on cancer care? Tulane’s School of Science and Engineering is launching a groundbreaking project to revolutionize surgical outcomes for prostate and colorectal cancer patients. We’re developing an advanced device that will enable real-time, high-resolution scanning of tumor excisions during surgery, using cutting-edge machine learning to detect residual cancer cells instantly. Surgeons will receive immediate, accurate feedback right in the operating room-ushering in a new era of precision cancer treatment. We’re seeking a Medical Automation Engineer with exceptional talent and experience to drive this innovation forward. In this role, you will design state-of-the-art automated and robotic systems for biological tissue handling, working with high-speed machine vision technology in surgical environments. You’ll collaborate with a dynamic, multidisciplinary team on a project at the forefront of medical technology, shaping the future of cancer surgery. Join us on this incredible journey to save lives and redefine what’s possible in cancer care. Required Qualifications
- Bachelor’s Degree in Robotics, Mechatronics, Industrial Automation, Mechanical Engineering, or a similar field.
- 2 years of relevant experience. Preferred Qualifications
- Experience in medical automation and/or medical robotics.
- Experience with Python/C++ / C# programming.
- Experience with machine vision.
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork abilities.
- Ability to work independently and manage multiple projects simultaneously.