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BACKGROUND

Paramount is currently supporting a global pharmaceutical organisation with the exciting developments within their data science and translational medicine group in the UK. This company is at the forefront of drug discovery, supporting both early and late development projects in therapeutic areas such as the central nervous system (CNS). The data science team themselves are highly skilled in the analysis and interpretation of omics and screening data, advanced data analytics and quantitative methods.

RESPONSIBILITIES

The Post Doc Bioinformatician will apply advanced analytical capabilities to biological domain understanding to reveal mechanistic insight into the disease and drug action. You will establish genomic data processing pipelines and analytical plans to inform target identification, validation and biomarker discovery.

Additional responsibilities:

Affect new target identification, target validation, biomarker discovery and patient stratification using omics data.
Process, analyse and interpret data from omics studies across the portfolio.
Develop approaches to utilize state of the art tools and technologies, or develop new methods where appropriate, to enable the above.

REQUIREMENTS

You will be part of a highly motivated, multi-disciplinary team all driven by a passion to improve decision making in Drug Discovery by leveraging advanced data science methods. The position has a high potential of extension, as others have been in the past, the company are keen to help the successful candidate grow and develop as an early career bioinformatics scientist. This is an excellent opportunity for a PhD graduate or someone with 1-3 years experience in academia who would like to gain experience in a pharmaceutical company.

What we are looking for:

A thorough understanding of bioinformatics, statistics, data mining, and visualization of biological data types and the standard tools used in these domains. Expertise in pre-processing, integration and analysis of different omic data types (e.g. proteomics, gene expression, SNP, metabolomic, epigenetic data, etc.).
Expertise in methods pertinent for functional interpretation of omics data e.g. pathway enrichment, functional module detection, causal reasoning
Familiarity with specific strategies e.g. (eQTL analysis) for analysis of multiple omic data types as well as advanced statistical and machine learning methods
Proficiency in a range of programming languages such as Python or R
Ability to interpret and communicate efficiently the outcomes of analytical work to a non-expert audience in order to trigger efficient decision-making

HOW TO APPLY

Please contact Jade on +44 121 616 3472 for more information or to discuss applying for this role.

Keywords: Bioinformatics, Computational Biology, Screening, Informatics, Statistics, Flow Cytometry, Biological Data, Data Analytics, Berkshire, UK, Genomics, Human Genetics, Pharmaceutical

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