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Bring intelligence to medical data.

NLP Data Scientist

$35k – $40k • No equity
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We’re looking for exceptional and highly motivated data scientist to join us at IOMED.

Salary range: 35.000 € - 40.000 €

About the job

The core of your role is designing, implementing, and training algorithms that extract information from clinical text, as well as to collaborate in the development and maintenance of the main products of our company . 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, using our own NLP libraries and existing ones.

About you

You have proven skills doing text mining or other non-trivial NLP tasks, and you’re comfortable doing serious programming (you must be proficient with git, have some expertise with libraries such as pandas, scikit, tensorflow, and know how to create reusable, extendable code). You work well in a team, can teach & learn from others, and communicate what you’re working on, both with technical and non-technical team members. Also, you can prepare usable scientific communication of the work you have done.

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:
● Build & evaluate ML-based algorithms for NLP tasks in clinical datasets
● Hyper-parametrization and cross-validation of your models
● Deploy and tweak the models to make them work in a production
● Testing, logging, metrics and alerting of the deployed services.
● Collaborate on the writing of papers and posters

Things we expect

● General knowledge of NLP and its tasks
● Knowledge of Python, NumPy, Pandas, and a plotting library.
● Machine learning theory, and some statistics.
● Training models on GPUs
● Experience with a library of NN: Keras / Tensorflow / Pytorch/

What we offer

● Gross annual wage: 35.000€ - 40.000€.
● Full-time permanent contract
● Profit-sharing scheme.
● Flexi-time schedule, with possibility of home office once a week.
● A warm, transparent and supportive team, with huge emphasis on
work-life balance.
● Most days, lunch together in our sunny terrace.


IOMED is a technological company of software development. It was launched in 2016, funded by local and international ventures.

As a startup, we are looking for people who are eager to innovate and be part of a project with impact on healthcare industry, enjoying what we do, team-work and taking on new challenges.

We are passionate and talented young professionals, from all around Spain and the world (It couldn't be any other way, as we're based in beautiful and bright Barcelona). Our “dream team” is made up by statisticians, bioinformaticians and physicians.

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, dynamic people irrespective of race, color, religion, national origin, sex, physical or mental disability, or age.

What we do

Nowadays, around 50% of Clinical Trials are delayed due to patient recruitment, since patient data collection is performed in a manual fashion. As a result, clinical research is highly inefficient both in time and cost, taking years and billions of dollars to develop a new drug.

This problem could be solved through Real World Data, i.e. derived from Electronic health records (EHR). But unfortunately up to 85% of existing clinical data is unstructured, i.e. in plain text. This also leads, in part, to the existence of data silos, making it impossible to aggregate data from different hospitals.

IOMED has found the solution to this situation, making it possible to take advantage of full value of clinical Real World Data. We developed a tool that extracts the necessary data from clinical texts, which results in a structured, standardized and interoperable database that contains the complete clinical information from hospitals.

By this means, non-reusable information is transformed into data available for Clinical Research, allowing an enormous increase in criteria- compliant patients and a reduction of total time and manual labor devoted to this task.

Apply at: rocio.paciarotti@iomed.health

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