Computational Biologist - Translational

Key Skills

Python Programming, Deep Learning, PyTorch, TensorFlow, R Programming, Biomarker analytics, Genomic data, Stratification analysis

Job Description

We are seeking motivated computational biologists to join our dynamic and expanding team. The candidates will focus on analysis and integration of diverse and complex genomic data to impact translation of our targets to the clinic. Your work will have application across our pipeline, from multi-omic characterisation of disease endophenotypes to biomarker discovery and patient stratification.

The successful candidates will work in a multidisciplinary, collaborative and scientifically driven environment, interacting with GSK scientists and external collaborators to advance drug discovery and clinical development. Additionally, you will be encouraged and supported to continue to build your scientific profile through presentations, development programmes and peer-reviewed publications.

Key responsibilities:

This role will provide YOU the opportunity to progress YOUR career, these responsibilities include some of the following…

• Deliver innovative analysis and integration of genomic data with tangible impact on the GSK pipeline.
• Work within cross-functional project teams with GSK scientists and external collaborators, with an emphasis on immunology, neurodegeneration or metabolic disease.
• Effectively communicate analysis findings, with expert interpretation, to project teams.

Why you

Basic Qualifications:

We are looking for professionals with these required skills to achieve our goals:

• PhD or equivalent experience in computational biology, biomedical/biological sciences, biomedical statistics, computational sciences, bioinformatics or machine learning.
• Experience in a programming language (such as R or Python) for complex data analysis.
• Solid understanding of analytical and statistical methods relevant to large scale analysis of biological data sets.
• Ability to work effectively multidisciplinary teams.

Preferred experience:

If you have the following characteristics, it would be a plus:

• Experience in the analysis and integration of multi-omics data, including at the single cell level.
• Experience in the analysis of genomic data linked to clinical phenotypes or measures for reverse translation and/or patient stratification.
• Experience in predictive biomarker analytics.
• Experience in analysing data sets related to immunology, neurodegeneration or metabolic disease.
• Skills to collect, integrate, mine and analyse complex biological data and translate them into testable hypotheses.
• Experience in communicating complex scientific concepts to diverse audiences.
• Publication record in peer reviewed journals.

Closing Date for Applications: 7th June COB

Please take a copy of the Job Description, as this will not be available post closure of the advert.? 
When applying for this role, please use the ‘cover letter’ of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application.