Data Scientist - Image Processing & Computer Vision

Key Skills

C Programming, C++, Cloud computing, Data science techniques, Effective communication skills, Hypothesis testing, Image processing, Machine learning techniques, OpenCV, Python Programming, Regression pattern finding, Semi-Supervised learning algorithms, Signal processing, Speech Technology, SQL

Job Description

Biofourmis is looking for Data Scientists in the field of image processing and computer vision to join our R&D team. The ideal candidate should have passion in using advanced machine learning techniques to make sense of biosensor data and image data in the medical field. We are building end-to-end services that integrate seamlessly into the lives of patients via multiple touchpoints to improve patients’ quality of life and outcomes.

Responsibilities:

• Developing scalable models and algorithms by leveraging state-of-the-art computer vision and machine learning techniques for medical image/video analysis, synthesis, and other related tasks.
• Conducting cutting-edge research in image/video related algorithms. Drive innovations by integration with other biosignals processing.
• Documenting clearly on how algorithms have been designed, implemented, verified, and validated.

Experience / Training:

• Hands on experience with development of image/video data analytics solutions in any of the field: face recognition, eye-movement tracking, emotional analysis, walking-step analysis, posture detection techniques, X-ray/MRI medical image processing etc.
• Deep understanding of state-of-the-art computer vision techniques in areas such as object detection, image classification, 3D reconstructin, etc; Familar with transfer learning and able to modify the underlying logics of those architectures.
• Experience with healthcare data, human physiology or cardiology is a plus.
• Publishing papers in top AI conferences or journals is a plus, including but not limited to CVPR, ICCV, ECCV, ICML, NeurIPS ICLR, KDD, AAAI, IJCAI, etc.

Education:

• PhD in Computer Science, Electronic Engineering or related fields with strong computer vison or medical image processing skills. (Masters with related working experience may be considered).

 Skills:

• Proficient with pattern recognition, image/video analysis, signal processing, anomaly detection, semi-unsupervised learning, and hypothesis testing.
• Proficient with programming in Python. Strong Programming in C/C++ is a plus.
• Experience with face recognition and emotional auto-analysis techniques.
• Familiar with one type of medical image (e.g. X-ray, ultrasound imaging, etc) is a plus.
• Good research ability and critical thinking skills.
• Excellent written and verbal communication skills
• Understanding of the lifecycle of mobile application development is a plus (Familiar with tools such as Android Studio, Eclipse, XCode, etc.); Proven experience in mobile algorithm integration is a plus (Familiar with tools such as Android-OpenCV, Vision Framework, ML-Vision Kit, Speech Framework, etc.)