Computational Biologist/Principal Scientist, Applied & Translational Omics (m/f/d)

GSK; Stevenage; On-site; GBP 40,000 - 60,000; Full time

Job summary

A global biopharma company in England seeks a Computational Biologist/Principal Scientist to innovate in spatial and single cell data analysis, impacting drug discovery and development. The ideal candidate possesses a PhD and extensive experience in omics data analysis, with strong programming skills in R and/or Python. This role offers collaborative teamwork in a pioneering scientific environment, encouraging professional development and impactful research.

Qualifications

• Extensive experience in analysis of single-cell and spatial omics datasets.
• Ability to evaluate and develop cutting-edge tools for data integration.
• Demonstrated proficiency in R and/or Python for data analysis.

Responsibilities

• Impact drug development pipeline with innovative computational methods.
• Contribute to best practice development for spatial and single cell omics.
• Effectively communicate analysis findings to project teams.

Skills

Single-cell and spatial omics analysis

Proficiency in R and/or Python

Statistical modelling

Data collection and integration

Communication of scientific concepts

Collaboration in multidisciplinary teams

Education

PhD in relevant scientific discipline

Job description

Overview

At GSK, we have bold ambitions for patients, aiming to positively impact the health of 2.5 billion people by the end of the decade. Our R&D focuses on discovering and delivering vaccines and medicines, combining our understanding of the immune system with cutting-edge technology to transform people’s lives. GSK fosters a culture ambitious for patients, accountable for impact, and committed to doing the right thing, making sure that we focus our efforts on accelerating significant assets that meet patients’ needs and have the highest probability of success. We’re uniting science, technology, and talent to get ahead of disease together.

Find out more: Our approach to R&D

Computational Biologist/Principal Scientist, Applied & Translational Omics (m/f/d)

We are seeking a motivated, innovative and enthusiastic computational biologist to join our team. The successful candidate will focus on evaluation and application of novel methods for the analysis and integration of spatial and single cell data to impact the GSK pipeline. Your work will have application across our pipeline, from molecular and cellular characterisation of disease mechanisms and endophenotypes to biomarker discovery, understanding mechanisms of response and informing precision medicine approaches. The successful candidate 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 accountabilities/responsibilities

• Impact the GSK drug development pipeline through development, evaluation and application of innovative computational and statistical approaches to the analysis and interpretation of spatial and single cell data.
• Contribute to the evaluation and development of best practice methods for spatial and single cell omics and to the upskilling of others.
• Work within cross-functional project teams with GSK scientists and external collaborators, with an emphasis on respiratory, immunology, neurodegeneration or metabolic disease.
• Effectively communicate analysis findings, with expert interpretation, to project teams.
• Work with focus and agility to deliver against objectives, demonstrating strong statistical, analytic and critical thinking skills.

Qualifications, knowledge, skills and experience

• Extensive experience in the analysis of single-cell and spatial omics datasets, with proven ability to derive and apply novel insights from these and other emerging genomic technologies.
• Familiarity with, and ability to critically evaluate, the development of cutting-edge tools and frameworks for single-cell and spatial data integration, visualization, and interpretation.
• Strong proficiency in at least one of R and/or Python, with a track record of writing reproducible and scalable code.
• Proven expertise in statistical modelling, hypothesis testing, and data-driven inference.
• Data science skills to collect, integrate, mine, analyse and interpret complex diverse biological data and translate them into testable hypotheses.
• Ability to understand key scientific questions and identify and develop innovative computational solutions to answer them and impact the drug discovery pipeline.
• Demonstrated experience in effectively communicating complex scientific concepts to diverse audiences.
• Demonstrated ability to work effectively multidisciplinary teams.
• PhD or equivalent experience in a relevant scientific discipline (e.g. computational biology, biomedical/biological sciences, biomedical statistics, computational sciences, bioinformatics or machine learning) with a history of impactful scientific publications and/or presentations.

Why GSK?

Uniting science, technology and talent to get ahead of disease together.

GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases – to impact health at scale.

People and patients around the world count on the medicines and vaccines we make, so we’re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.

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