Barcelona - Data Engineer - Full time
40.000€ - 45.000€
Your main task will be to follow up on the projects we have with our clients, in addition to giving the necessary support to them. You will work hand in hand with both the technical team and the business team, and you will be the person in charge of following the project once it is signed with the clients and helping with whatever is needed.
We are looking for a person with:
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.
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.