Join our
amazing team

Revolutionizing
primary care
with AI

Full Stack Engineer

We are gathering an outstanding team of talented and agile people who will lead and grow the company.

The ultimate candidate is a super talented and passionate senior algorithm engineer/data science lead, experienced in leading AI based projects.

You are expected to lead all aspects of Predicta Med’s Deep Learning solution research and development – implement algorithms from prototypes to full deployment, acquire-process-analyze and model information from potentially massive amounts (big data) of structured and unstructured data, create insights and handle data management operations.

 

Job requirements

  • M.Sc/PhD in Computer Science / Computer Engineering / Mathematics
  • Experience in developing machine learning and deep learning (5 years+)
  • Experience in leading algorithms development team
  • Hands-on experience with data science packages (Scikit, PyTorch/TensorFlow, etc.)
  • Ability to work independently and collaboratively, while meeting scheduled deadlines in a fast-paced environment
  • Highly organized, exceptional attention to detail, strong communication skills
  • Strong background in Statistics

 

Advantages

  • Knowledge of state-of-the-art deep and machine learning methods
  • Experience with tabular data and NLP
  • Experience in analyzing clinical data through common EHRs

Your data will be processed in accordance with our Privacy Policy

Full Stack Engineer

We are gathering an outstanding team of talented and agile people who will lead and grow the company.

The ultimate candidate is a super talented and passionate senior algorithm engineer/data science lead, experienced in leading AI based projects.

You are expected to lead all aspects of Predicta Med’s Deep Learning solution research and development – implement algorithms from prototypes to full deployment, acquire-process-analyze and model information from potentially massive amounts (big data) of structured and unstructured data, create insights and handle data management operations.

 

Job requirements

  • M.Sc/PhD in Computer Science / Computer Engineering / Mathematics
  • Experience in developing machine learning and deep learning (5 years+)
  • Experience in leading algorithms development team
  • Hands-on experience with data science packages (Scikit, PyTorch/TensorFlow, etc.)
  • Ability to work independently and collaboratively, while meeting scheduled deadlines in a fast-paced environment
  • Highly organized, exceptional attention to detail, strong communication skills
  • Strong background in Statistics

 

Advantages

  • Knowledge of state-of-the-art deep and machine learning methods
  • Experience with tabular data and NLP
  • Experience in analyzing clinical data through common EHRs

Your data will be processed in accordance with our Privacy Policy

Head of Data Science

We are looking for a passionate and experienced Head of Data Science that strives to make a real impact on the future of our product.

The ultimate candidate is a super talented and passionate senior algorithm engineer/data science lead, experienced in leading AI based projects.

You are expected to lead all aspects of Predicta Med’s Deep Learning solution research and development – implement algorithms from prototypes to full deployment, acquire-process-analyze and model information from potentially massive amounts (big data) of structured and unstructured data, create insights and handle data management operations.

 

Job requirements

  • M.Sc/PhD in Computer Science / Computer Engineering / Mathematics
  • Experience in developing machine learning and deep learning (5 years+)
  • Experience in leading algorithms development team
  • Hands-on experience with data science packages (Scikit, PyTorch/TensorFlow, etc.)
  • Ability to work independently and collaboratively, while meeting scheduled deadlines in a fast-paced environment
  • Highly organized, exceptional attention to detail, strong communication skills
  • Strong background in Statistics

 

Advantages

  • Knowledge of state-of-the-art deep and machine learning methods
  • Experience with tabular data and NLP
  • Experience in analyzing clinical data through common EHRs

Your data will be processed in accordance with our Privacy Policy

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