The Data and Predictive Sciences (DaPS) department of Research Technologies is focused on harnessing the power of GSK’s data-as-an-asset to drive research productivity and unlock upper quartile ambitions.

As an Investigator in Data Sciences aligned to Molecular Modalities & Pre-clinical Sciences, you will collaborate with scientists into develop and deliver consistent high-quality, high-impact industry-leading data sciences solutions ready for industrialization.

Data & Predictive Sciences will only be successful by working in close collaboration with Research Tech, Therapeutic Areas, Scientific Digital & Tech, Onyx Research Data Platform, AIML, Risk & Compliance, and across lines within the function itself. Success will require developing and fostering a high-performing team culture of collaboration, curiosity, consistency, agility, quality, peer review, and continuous improvement with a relentless focus on realizing value through end-user uptake and measurable impact. If this sounds like a culture you will thrive in, please apply. 

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 practises; 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  

• Deliver data solutions with measurable cross-organizational impact and value, including but not limited to: code libraries, analytical pipelines, data processing pipelines, visualizations, front-end tools, etc.
• Design and build solutions that leverage existing or planned cloud infrastructure from partner functions in Scientific Digital & Tech and GSK's Onyx Research Data Platform.
• Partner with Bioimaging Analytics to conceptualize and lead state-of-the-art interactive data visualization in the Imaging Decision, Exploration and Augmentation suite, surfacing relevant information from large data fabric and knowledge graph, denoising and accelerating the decision-making process
• Enable facile data collation, preparation, and storage, perform exploratory data analysis to identify trends, patterns, and anomalies in the data and communicate findings.
• Manage your projects using basic project management and appropriate communications.
• Contribute to the overall Data & Predictive Sciences goals and objectives via implementation of relevant components of those objectives.
• Collaborate with research scientists and stakeholders to understand data needs and deliver appropriate solutions. Work with your Team Leader to prioritize your book of work.
• Demonstrate a strong commitment to teamwork and partnership with all stakeholder functions.
• Work with other data scientists to build an understanding of the business context, systems, environment, strategy and people aligned to this area.  This includes an understanding of the relevant internal and external high-volume data sources, validity and domains of such data aligned with business objectives.
• Be a standard bearer for proper ways of working, engineering discipline, process improvement, etc. for the entire Research Tech organization.
• Work across Data Sciences teams to contribute to peer review, quality, consistency and enterprise thinking.
• Seek and be responsive to peer feedback to grow your skills and impact.
• Continuously improve your skills and knowledge to keep abreast of advancements in this rapidly evolving field. 

Why you? 

Basic Qualifications & Skills:

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

• PhD (or extensive years professional experience with a Masters) in bioinformatics or a relevant scientific domain
• Proficiency in one or more programming languages: e.g. Python (preferred), R, Java, including toolchains for documentation, testing and operations.
• Experience in using image analysis tools like ImageJ, CellProfiler, 10X Space Ranger and Loupe Browser.
• Scientific knowledge and/or acumen to understand GSK's biological research data
• Experience translating complex multi-dimensional data into biological understanding
• Experience building bioinformatics pipelines and databases with large scale biological data

Preferred Qualifications & Skills:

Please note the following skills are not necessary, just preferred, if you do not have them, please still apply: 

• Strong experience with image processing and analysis techniques, particularly for analysing histological images or spatial data, such as object detection and tracking, instance/semantic segmentation, features extraction and selection.
• Strong knowledge and experience with statistical methods and machine learning techniques applied to high-dimensional data, including clustering, dimensionality reduction, data fusion across different domains, semantic networks, regression models, and spatial modelling. Knowledge of data manipulation libraries (e.g. pandas, scikit-learn, PyTorch) would be advantageous.
• Experience with bioinformatics tools and packages (e.g., Seurat, Scanpy, SpatialIDE, Giotto) for analysing transcriptomics data.
• Architect and implement computational solutions that can be scalable on cloud-based infrastructures including Azure, and Google Cloud ecosystem.
• Familiarity and/or experience with concepts related to Data Fabric, Data Mesh, and Data as an asset.
• Knowledgeable in the art of data visualization, business dashboarding, and UI/UX.
• Experience with modern software development tools / ways of working (e.g. Object-Oriented Programming, git/GitHub, DevOps tools, CI/CD, metrics / monitoring) 

Closing Date for Applications – Friday 20th September 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).

We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are.

Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us on Ukdiversity.recruitment@gsk.com or 0808 234 4391. 

Please note should your enquiry not relate to adjustments, we will not be able to support you through these channels. However, we have created a UK Recruitment FAQ guide. Click the link and scroll to the Careers Section where you will find answers to multiple questions we receive .

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