Principal Scientist - Computational Science, Non-Clinical Safety

Site Name:UK - Hertfordshire - Stevenage
Posted Date:Aug 29 2024

Principal Scientist - Computational Science, Non-Clinical Safety

The R&D Non-Clinical Safety (NCS) organisation applies cellular and molecular approaches to elucidate mechanisms of toxicity, understand species differences, and identify translational safety biomarkers to inform project decisions.

NCS requires image analysis and data science expertise to support cell and tissue-based imaging studies including analysis of multidimensional datasets such as flow cytometry, contributing to establishing leading platforms to evaluate the safety of new medicines.

We create a place where people can grow, be their best, be safe, and feel welcome, valued and included. We offer a competitive salary, an annual bonus based on company performance, healthcare and wellbeing programmes, pension plan membership, and shares and savings programme.

We embrace modern work practices; our Performance with Choice programme offers a hybrid working model, empowering you to find the optimal balance between remote and in-office work.

Discover more about our company wide benefits and life at GSK on our webpage Life at GSK | GSK

In this role you will

• Design and develop analysis approaches for high throughput, multidimensional data with a focus on supporting flow cytometry and in vitro cell imaging studies.
• Support analyses of next-generation sequencing, RNA seq and multiparameter cytokine data in-line with NCS priorities with a specific focus on the identification of safety biomarkers.
• Identify and implement state-of-the-art data mining methodologies and machine learning algorithms to aid interpretation of cellular and molecular assays.
• Define, refine and implement standards for quality control (QC) and quality assurance (QA) to ensure high quality data and reports building confidence in GSK's integrity and scientific credibility with partners and global regulatory authorities.
• Establish and maintain collaborative working relationships with R&D data- and biological- scientists as part of a cross-functional team.
• Contribute to experimental design based on study objectives and provide custom data visualisations/analytics.
• Translate informatics solutions into business-oriented biomedical understanding with the aim to support decision-making in drug discovery and development processes.
• Execute and optimise analysis algorithms and data flow at scale, employing GSK's computing infrastructure.
• Produce high quality documentation of methods ( e.g., protocol contributions, scope of work), analysis results and interpretation to inform internal decision-making and contributions to regulatory submissions as required.

Why you?

Basic Qualifications & Skills:

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

• PhD in a relevant computational / biological discipline ( e.g., physics, biochemistry, pharmacology, toxicology, mathematics etc. ).
• Experience in analysing multidimensional data sets including flow cytometry and cellular imaging studies.
• Ability to communicate and work collaboratively in a multidisciplinary environment.
• Expertise in scientific computing and programming (R, Python or MATLAB).
• Experience analysing next-generation sequencing and 'omics data to enhance understanding of biological processes (desirable but not essential).
• Previous experience working with non-clinical safety / toxicology data (desirable but not essential).

Closing Date for Applications - September 15th, 2024 (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.

At GSK, we have bold ambitions for patients, aiming to positively impact the health of 2.5 billion people over the next 10 years. R&D is committed to discovering and delivering transformational vaccines and medicines to prevent and change the course of disease. Science and technology are coming together in a way they never have before, and we have strong tech-enabled capabilities that allow us to build a deeper understanding of the patient, human biology and disease mechanisms, and transform medical discovery. We are revolutionising the way we do R&D. We're uniting science, technology and talent to get ahead of disease together.

Find out more:

Our approach to R&D .

Why GSK?

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

GSK is a global biopharma company with a special purpose - to unite science, technology and talent to get ahead of disease together - so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns - as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology).

Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it's also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves - feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together.

As an Equal Opportunity Employer, we are open to all talent. In the US, we also adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to neurodiversity, race/ethnicity, colour, national origin, religion, gender, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class*(*US only).

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