Principal Scientist – Discovery Analytics – AI Specialist
UK or Belgium
A very challenging, yet rewarding position has just become available for a principal scientist within the world of drug discovery. You will be responsible for accelerating drug discovery by enhancing the decision making process, working with some of the best scientists in the world ensuring that data is available to decision makers.
You should have both mathematical and statistical expertise in order to support a new team’s delivery supporting high content data analysis, phenotypic profiling etc. The role also requires you to build analytical models to extract information from a range of complex data sets, allowing the team to use computational techniques in order to accelerate drug discovery.
The ideal candidate will have experience of helping develop a ‘best practice’ approach to complex data analysis as the overall goal here is to build an analytical platform to support the manipulation of intricate scientific data in discovery research.
*PhD in Computer Science, Bioinformatics, Life Sciences or other relevant areas
*Experience and a passion for mathematics, statistics, biological image analysis, machine learning and data visualisation
*Expertise with Machine Learning Packages and DEEP learning toolkits such as TensorFlow, Theano, McNet etc
*Excellent theoretical understanding and real hands-on experience with deep learning and a range of more classical supervised and unsupervised machine learning methods, including but not limited to ensemble learning techniques (e.g. boosting, Random Forests) kernel methods (e.g. SVM), (non-linear) dimensionality reduction and feature selection methods are required. Practical knowledge of Bayesian methods and Natural Language Processing is a plus
*Proficiency in R, Python, Pipeline Pilot, KNIME
*Fluency in big data management tools, Hadoop, NoSQL datastores and RDBMS
*Adaptable and able to work in highly complex environments to deliver high quality work
There are great benefits that come with this position, such as Pension, Healthcare, Life and Disability Insurance, as well as a very competitive salary and the opportunity to work within a highly respected company with Life Sciences.
Please do not hesitate to contact Harvey Uppal at email@example.com or call (+44) 121 616 3407 to discuss this opportunity further.
Keywords: Discovery, Analytics, Science, Bioinformatics, R, Python, KNIME, Deep Learning, Machine Learning, Theano, TensorFlow, Big Data, NLP, SVM, Drug Discovery, BioPharma, UK, Belgium
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Job Reference: UKBLGHU_1513943040
Broadcast As: 18372
Salary To: Negotiable
Job Type: Full Time
Job Term: Permanent
Recruitment Consultant: Harvey Uppal