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Data Scientist in Barcelona

IOMED Medical Solutions

Salary
30,000 - €35,000
Workplace
Onsite
Hours
Full-Time
Internship
No
Skills
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Job Description

We’re looking for exceptional and highly motivated data scientist that loves building and testing models with Python to join us at IOMED.

About this role

The core of your role is designing, implementing, and training algorithms that extract value from clinical data as well as furthering your skills working with an incredible multidisciplinary team. We don’t draw a hard line between our research and engineering teams: you’ll do research and ship commercial quality software that puts it to use. We mostly work in Python, but dip into other languages when it makes sense to, so you’ll need to be comfortable picking up a from a range of tools. One day you might prototype something from scratch in numpy or pandas, and on another work on production code using a high-level library.

About you

You have proven skills of putting Machine Learning to use, and you’re comfortable with the mathematics. You work well in a team, can teach & learn from others, and communicate what you’re working on with non-technical team members.

Things You Might Do

IOMED is a startup, so you’ll have to be comfortable rolling up your sleeves and doing whatever needs doing. However, you can definitely expect to:
Design, implement & test model architectures on interesting datasets
Build & evaluate ML-based algorithms for customers
After you create, train, and evaluate a model, deploy it to and tweak it to make it work in a production environment
Collaborate on the writing of papers and posters

About IOMED

In the 322 million clinical consultations carried out in Spain every year a large amount of data is collected in a free text format (up to 85% in Catalonia). To extract value from this data is necessary to develop new techniques that led to structured data.

IOMED builds ML tools that enable other developers to make analytics and ML models on complex healthcare data with ease. The tools structure clinical texts written by physicians, extracting and encoding relevant medical concepts like symptoms, diseaseases… taking into account their context (negations, family/personal background, past events...).

We're based in Barcelona, funded by local and international ventures.

IOMED is an equal opportunity employer. We are still a small team and are committed to growing in an inclusive manner. We want to augment our team with talented, compassionate people irrespective of race, color, religion, national origin, sex, physical or mental disability, or age.

Requirements

Knowledge of Python, NumPy, Pandas, and a library of plots.
Machine Learning knowledge, as well as Bayesian statistics.
Experience implementing neural networks (NN) and creating new models, adjustment of hyperparameters, etc.
Experience with a library of NN: Keras / Tensorflow / others.
Experience deploying machine learning models.
Knowledge of ETL techniques as well as SQL.
Deploying model on Docker.
Training models on GPU

Apply at https://goo.gl/LuYDEM but do not hesitate in contacting us directly at any time :
dev {at} iomed {dot} health


 
  • Health Tech

  • Barcelona, Spain

  • 2-10

  • 2016

IOMED has developed a Natural Language Processing tool that allows hospitals to structure their information identifying clinically relevant variables from medical notes and structuring them into datasets, which can then be easily queried. Thanks to this data structuration, professionals and researchers from the hospitals can access to the information stored in their facilities more quickly thus accelerating patient recruitment by reducing the time invested in this process. At the same time, it allows hospitals to improve the quality of their services.

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