Principal Scientist - Discovery Analytics - Slough

6 days left

Slough, England
Sep 08, 2016
Oct 06, 2016
Harvey Uppal
Result Type
Position Type
Full Time

Principal Scientist - Discovery Analytics - Slough
£60k - £65k (Flexible)

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
*Proficiency in R, Python, Pipeline Pilot, KNIME
*Use of Assay data capture tools such as Screener, ActivityBase, E-WorkBook
*Using analysis software such as Spotfire, R, Vortex, Definiens, CellProfiler, FlowJo, ForeCyt
*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 or call (+44) 121 616 3407 to discuss this opportunity further.

Keywords: Discovery, Analytics, Science, Bioinformatics, R, Python, KNIME, Image Analysis, FlowJo, ForeCyt, Vortex, Definiens

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