From: | Ignasi F. |
Enviado el: | sábado, 1 de agosto de 2020, 20:59 |
IOMED Data Engineering Team is responsible for building and maintaining optimized and highly available data pipelines that facilitate information extraction and transformation for our main products and internal applications. The core of your role will be designing, architecting, implementing, and testing data extraction and transformation tools in a micro services environment:
You will collaborate with the rest of the Data Engineering team in analyzing and understanding data sources, participating in the design, and providing insights and guidance on database technology and data modeling best practices.
This role should work closely with the Business Development and Data Science teams, gathering technical requirements for data governance and data quality across the company.
You have at least 3 years of working experience working in a data engineering department, preferably as a Data Engineer in a fast-paced environment and complex business setting and a demonstrated experience in building and maintaining reliable and scalable ETL. You have experience in data warehousing inclusive of dimensional modeling concepts and demonstrate proficiency in programming (SQL and Python will be your main tools of the trade). You have proven skills of putting micro services to use, and you’re comfortable with working with containers in a cluster architecture. You work well in a team, can teach & learn from others, and communicate what you’re working on with non-technical team members.
It is important that you feel comfortable adapting and supporting the rest of the team. However, you can definitely expect:
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.