Our Portfolio Companies are Looking for YOU!

Senior Machine Learning Researcher

Nucleai

Tel Aviv, IL
  • Job Type: Full-Time
  • Function: Data Science
  • Industry: Digital Health
  • Post Date: 02/19/2021
  • Email: albert@nucleaimd.com
  • Website: www.nucleaimd.com
  • Company Address: Tel Aviv

About Nucleai

Nucleai improves the cancer diagnostics process (tissue biopsies inspections, Pathology) to be more efficient, accurate and consistent through applying innovative Machine Learning and Machine Vision Algorithms. Nucleai has the vision of enabling personalized treatment, improve procedures (on-site) and provide better classification for Oncology.

Job Description

We are looking for an experienced deep-learning/machine-learning/computer-vision researcher to join our core team. Our algorithms team is responsible for developing algorithmic data-driven solutions, using ML/DL/statistical-analysis, to be applied in clinical trials, drug research and clinical practice.

 

Job Description

As a machine learning researcher at Nucleai you would participate in and lead research of state of the art machine learning and deep learning algorithms to find novel digital biomarkers that predict patients’ response to new treatments. You will be working with clinical trial data as well as real world evidence, curated from leading medical institutions. You’ll be dealing with multiple data modalities such as: tissue sample (WSI), genomics, clinical data, and more

 

It is a great opportunity to:

  • Do something that really matters.
  • Work with a top notch team on complex vision and prediction problems
  • Be a part of a fast growing startup backed by top VCs

 

Come join our team of experienced AI engineers and world renowned clinicians, and help us make a difference.

 

Job Requirements

At least 3 years developing machine learning algorithms

At least 6 years of hands on software/algorithms development experience

Advantage - Deep learning and/or computer vision background

Advantage - Solid knowledge of statistical analysis methods

 

Click 'Apply' or send an email.