Computer Vision Scientist at Human Longevity
San Diego, CA, US

Human Longevity, Inc. is looking for an Computer Vision Scientist to assist with developing image analysis and deep learning models using medical imaging data. In this position, this scientist will be part of a team working to create of first of kind methods that would improve the detection of cancer and prediction and prevention of other diseases including cardiovascular disease and dementia.

Tasks and Responsibilities:

This scientist will contribute by creating algorithms for medical image analysis and risk prediction utilizing computer vision techniques and deep learning.

Minimum Qualifications (Must have):

  • 5+ Years of software development experience

  • Ph.D. in computer science or equivalent

  • Strong proficiency with computer vision and deep learning is required

  • Strong proficiency with Python, C/C++

  • Experience with OpenCV and deep learning frameworks (tensorflow, caffe, pytorch)

  • Strong understanding of machine learning algorithms & principles, and numerical optimization

  • Experience working with medical imaging data (3D, multiparametric, multimodal data)

  • Experience with image recognition, classification, and segmentation

  • Coding experience from inception through implementation

  • Solid understanding of good programming practices, architecture, design patterns and unit testing

  • Excellent communication skills required

  • Known for passion and perseverance to pursue long-term goals through short-term high performance

  • Maintains a positive and respectful attitude while working collaboratively in a highly dynamic environment

  • Energized by driving innovative solutions and adapting quickly to new data

Preferred Qualifications:

  • Experience with cloud programming and architectures (AWS)

  • Domain experience in Biotech and Healthcare is desirable

  • Experience in a start-up environment

  • Experience in a regulated environment

  • Proficiency with object oriented programming

Working Conditions:

  • Open office environment

  • Dog-friendly

  • Work with multidisciplinary team including software developers and clinicians