Position: Senior Java (Semantic Technology Engineer) Developer 665
Company: Exadel
Experience required: 3y
English level: intermediate

Requirements:
Expert knowledge of Semantic Web Standards (e.g. SHACL, RDF(S), OWL, SPARQL, JSON-LD) and other W3C standards
Knowledge of Semantic API, e.g. Jena
Excellent Programming skills: Java, Scala is a plus, other languages can be considered e.g. Python
Agile Software Development Practice and excellent communication skills
Some familiarity with the current trends in Big Data Architecture: Kafka, Spark, Hadoop, Distributed Systems, Parallel Processing Frameworks, Stream/Batch Processing
Good сommand of knowledge representation techniques and technologies, semantic modelling, semantic data integration, ontology engineering, etc.
Affinity with the life sciences and/or chemistry domain is optional
Master’s degree in Artificial Intelligence (Knowledge Representation), Computer Science, or a related field. Bachelor Degree could also be considered depending on the profile and experience
English - Intermediate

Responsibilities:
A core part of the project involves building large scale knowledge graphs that serve world-class applications in the domain of biochemistry and pharmacology. It is an imperative that knowledge graphs follow a representation scheme that ensure a smart and efficient exploitation of its content at scale.
The position will be focusing on Implementing knowledge acquisition solution, modeling, exploitation of semantic data management solution and programming. In particular, the Semantic Technologies Engineer will be at the forefront of the knowledge representation effort by suggesting and implementing modeling solutions that ensure the best processing and use of the data.

Company offers:
Vacation is 20 working days / till 20 working days per year for sick leaves
Full payment of taxes
English courses
Flexible work schedule
Friendly environment
Medical insurance
Opportunity for career growth

About the Customer and Project:
The Customer provides pharmaceutical and academic researchers with the data they need to make decisions. Some of clients are working on billion-dollar drug discovery projects where early and informed decisions are worth millions. Others are working on innovative projects such as repurposing existing drugs or trying to predict certain characteristics of candidate substances. All of the Customer’s clients are deeply motivated to cure diseases more effectively and improve lives.

The Customer’s platform brings together the best in engineering, scientific intelligence, data science and semantic modeling techniques to put the right tools into the hands of researchers and data scientists to enable them to invent, innovate and commercialize ideas, products and processes.

The Customer can extract and link data from multiple sources and disciples, whether publicly available or proprietary, and make this data available to clients. This massively linked dataset is then channeled through the right interface where it is vital in making the best decisions, successfully getting a drug to market and ensuring patient safety.