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BACKGROUND

An exciting new opportunity for a Principle Scientist within Computational Biology has recently become available. Working as part of a world leading Pharma company based in Germany, you will be joining a growing team, utilising your strong technical experience to develop new analysis approaches.

This innovative and leading company will be looking for a talented Principle Scientist with a proven background in Computational Biology or Bioinformatics. This person will have a demonstrable skill set in NGS applications & RNA-Seq and will be involved with developing robust NGS pipelines.

RESPONSIBILITIES

Develop new analysis strategies for RNA-Seq, single cell RNA Seq and NGS approaches.
Interface with the NGS lab to develop outsourcing strategies.
Carry out data analysis in order to generate test hypothesis for new therapeutic concepts.
Contribute to projects during all phases, from experimental design to downstream analysis.
Develop automated analysis pipelines.

REQUIREMENTS

PhD degree in Computational Biology or related field
Excellent and broad knowledge of Bioinformatics, Computational Biology, with a key focus on RNA-Seq and other NGS applications
Solid background in statistics and experimental design
Proven expertise in Python, R/Bioconductor and ideally one other programming language
Familiar with Linux, local/cloud based HPC environments

COMPENSATION

On offer is a fantastic opportunity to progress your career within Bioinformatics & Computational Biology, working with some of the brightest minds in the industry. A successful Principle Scientist can expect a competitive salary and package DOE.

HOW TO APPLY

If you are interested in this opportunity or would like some more information then please don't hesitate to contact Jack Lacy via jlacy[at]pararecruit.com or call 0121,616,3476.

Key Words:
NGS, Pipeline, Python, R, Bioconductor, IT, Software, Biologist, Biology, Programmer, Scientist, Principle, Expert, Drug Discovery, RNA, RNA - seq, Version Control, Linux, Science, Life Science, Jobs in Science, Computational, Comp Bio.

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