MDCPartners is a technology company based in Antwerp, Belgium that produces large volumes of healthcare data on a weekly basis. This requires skilled techies with an eye for data, and the ability to apply this knowledge in the field of healthcare. Our clients are top pharma companies that rely on our tools to make crucial decisions during drug development.
As Senior Data Engineer you work in the data lifting team to streamline and innovate data processing components and workflow. You deal with algorithmic, performance and operational tasks related to the main data flow in MDCPartners.
Your main target is to oversee parts of the data generation, improve quality of the data, the processing performance and downstream application possibilities by means of your architectural and algorithmic input.
Keywords: data analysis, algorithms, NLP, machine learning, Lucene, ontologies, medical data, performance, parallel programming
Have a Master’s degree or PhD in Computer Science
Have at least 4 years of proven experience in the field
Have fantastic Java skills
Know your way around (No)SQL databases
Be fluent in English
Have a no-nonsense problem solving mindset
Be eager to take technical and organizational responsibility
Learn quickly, and want to be challenged
Have the ability to support and mentor other data engineers
What we offer
A hi-tech, creative working environment in a dynamic, growing company
Career path to grow to a crucial role
Competitive salary & benefits
Company car or similar remuneration options possible
Health insurance package
How to apply
For further information or to apply for this vacancy, please contact us and include your CV.
DON’T Miss the 3rd/6 evening of preparation for the Text Mining hackathon (17/6) it is probably the most important one.
Tonight the experts of Euroclear will explain how they do Text mining and the business experts will be there to assist you and explain the dataset you have received to prepare yourself.
The European Data Innovation Hub is proud to present the Euroclear Hackathon.
Euroclear is a leader in the financial services industry. Together with Euroclear, we are organising a Text Mining Hackathon. The aim will be to identify key fields in unstructured financial legal documentation.
Data consists in thousands of legal documents available through our platform. Access will be provided upon signature of a standard NDA.
We will have the support of Euroclear data scientists to understand the approaches used and for the text mining of financial legal documentation.
SAS will offer us the acces to their environment in order to make this exercise possible.
Each participant and team can use its own tools to build a solution.
You are kindly invited to the engagement event with the specialists from Euroclear on Thursday 21st at 15:30 here at the Hub.
We will have 3 preparation meetings prior to the hackathon.
This 36h hackathon will start on Friday June 17th 12:00 take place at the di-Academy.
You will work in our Data Science Team and have a passion for research and defining sequence pattern mining based profiles and behavioural profiling in general.
You will define models (“digital personas”) that correspond with unique human behavioural patterns (e.g. feeling in love, …) and make these available as pre-defined personas on our platform, to be used in the advertising, finance or music industry.
You will actively explore how to help infer human behaviour out of big datasets and come up with pattern recognition models.
At Argus Labs, we learn an audience’s mood, habits and environment from passively collected behavioural data, so sequence mining is a core element of your work related tasks.
Duties and expectations:
Your main focus will be on data analysis, pattern recognition and machine learning.
As part of the data science team, you will be responsible for data mining and temporal prediction in a big data environment.
You are a scientist with a rigorous working knowledge of machine learning.
You are able to clearly communicate with customers and non-technical profiles.
You and have a desire for continuous learning and a passion for data analysis.
Desired Skills and Experience
You have an academic degree in computer science, (bio-)informatics, statistics, physics or mathematics or have past experience at a big data company. PhD is a plus.
You have a strong mathematical background when it comes to vector algebra, statistics and mathematical optimization techniques.
You are experienced in supervised learning, unsupervised learning and Bayesian filtering.
You are familiar with signal processing techniques such as Fourier transforms and filter design.
You know Python, Java or C++. Matlab experience is a plus.
Your English is fluent and spotless in both verbal interactions and writing, and you have excellent English presentation skills.