Data Engineer

Descripción de la oferta

About IOMED

IOMED is a technological company of software development. It was launched in 2016, funded by local and international ventures.
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 of mathematicians, statisticians, bioinformaticians, and physicians.
We are looking for people who are eager to innovate and be part of a project with an impact on the healthcare industry, enjoying what we do, team-work, and taking on new challenges.
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 the 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.

About the job

We're looking for a data engineer to join our data engineering team. IOMED's products consist of an integrated suite of tools that dramatically simplify the process of clinical research, by structuring clinical data and providing unified and standardized access to it.
The core of your role will be designing, implementing, and testing data extraction and transformation tools on a microservices environment. as well as to collaborate in the development and maintenance of the main products of our company:
Data processing pipelines
Data model transformations
Components of a multi-modal distributed database.

About you

You must have proven skills of putting microservices to use, and you're comfortable with the containers in a cluster architecture. Also, we are looking for someone who works 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

It is important that you feel comfortable adapting and supporting the rest of the team. However, you can definitely expect:
Query, model and deploy with PostgreSQL, Redis, RabbitMQ.
ETL with SQL and Python.
Design, implement & test microservices.
Integrate our products with external APIs.
Development and testing of our core products and frameworks.
Be comfortable with container development with Docker.
Testing, logging, measuring, and alerting of the deployed services.

What we offer

Full-time permanent contract.
Gross annual wage: 35.000€ - 40.000€.
Profit-sharing scheme.
Flexible schedule, with the possibility of home office once a week.
A warm, transparent and supportive team, with a huge emphasis on work-life balance.
Most days, lunch together in our sunny terrace.
The opportunity to make your mark in e-health and AI.

Inscribirme ahora

Bring intelligence to medical data.

Nowadays, around 50% of Clinical Trials are delayed due to patient recruitment, since patient data collection is performed in a manual fashion. This makes clinical research highly inefficient, taking years and billions of dollars to develop a new drug, with a very low success ratio from Phase I trials to market approval.

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.

IOMED has found the solution to this situation, taking advantage of full value of clinical Real World Data. It developed a tool that extracts and structures the necessary data from clinical texts. The result is a structured, standardized and interoperable database that contains the complete clinical information from a given hospital.

As a result, there is a +200% increase in criteria-compliant patients and a reduction of total time of 90.5% and of manual labor of 83%.

Ver todo

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