Principal Scientist, Research Analytics - United Kingdom
(Slough, UK or Braine l’Alleud, Belgium)
UCB is a fast-moving global biopharmaceutical company focused on the discovery and development of innovative medicines and solutions to transform the lives of people living with severe diseases affecting the immune and central nervous systems. With more than 7,700 people in approximately 40 countries, the company generated revenue of € 4.2 billion in 2016. UCB invests more than 25% of revenue in cutting-edge scientific research to with the objective of solving unmet patient needs. We have a passionate, long-term commitment to the discovery and development of innovative medicines that transform the lives of people with severe diseases. At UCB everything we do starts with a simple question: “How will this make a difference to the lives of people living with severe diseases?” We do that by connecting with patients and their families around the world living with the physical and social burdens of severe disease of the immune system and the central nervous system. Those connections offer new perspectives, drive innovation, and offer the hope of a new generation of therapies that will help to transform lives.
We now want to expand our Data Science capability within Discovery Research
Data in pharmaceutical research has constantly increased in both volume and complexity and its correct interpretation in a biomedical context has become more and more dependent on advanced data management and analytical skills.
As a Principal Scientist, Research Analytics in this newly created team, you will be responsible for accelerating drug discovery by enhancing our decision making process, working with a wide range of scientists to extract actionable insights from complex data sets.
You will bring mathematical and statistical expertise to augment our team’s delivery, building predictive models from disparate data sets, uncovering patterns in high-density data, and making those insights impactful thanks to a thorough understanding of the drug discovery process.
In this role, you will also contribute your knowledge and expertise in the construction of UCB’s next generation analytics platform, which aims at sharing data sets and analytic toolkits across our growing data science community.
Candidates must be of post-graduate level (PhD preferred), specialising in Computer Science, Mathematics, Statistics, Life Sciences, Bioinformatics or Physical Sciences.
You must be organisationally adaptable, innovative and be able to thrive in a demanding and agile environment.
The ability to work as part of a collaborative team and demonstrate excellent communication skills are important for this role. Discovery Research Information Management supports activities on both the UK and European research sites therefore some international travel will be required.
- The individual should have demonstrable experience and passion for mathematics, statistics, signal processing, image analysis, machine learning, data mining, and data visualisation.
- Deep knowledge of scripting and analytics software, including R, Python, Pipeline Pilot or KNIME, Tableau,or Spotfire.
- Fluent in big data management tools, Hadoop, NoSQL datastores as well more traditional relational databases
- Demonstrable expertise in Machine Learning toolkits and major programming frameworks
- Good understanding of Deep Learning and Natural Language Processing is desirable.
- Knowledge of Life Sciences software such as Vortex, Definiens, CellProfiler, FlowJo, ForeCyt etc.would be an advantage
- Good understanding of Biology, Chemistry, and Drug Discovery is required.
- Strong communication skills to ensure alignment between scientists, management and Informatics experts.
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