Associate Director Oncology Translation Big Data Mining

Location: Stevenage (UK)

Please Note: This role will temporarily be based at Stevenage.  However, the Company plans to relocate its offices to Cambridge, UK. The location of this role will therefore subsequently change to Cambridge UK, in accordance with timelines to be set by the Company.  The relocation is currently proposed to take effect by early 2029.

We are seeking a highly skilled and experienced individual to join our team as an Associate Director of Oncology Bioinformatics within the Oncology Research Unit. The successful candidate will lead acquisition and analysis of large-scale cancer molecular and clinical data to drive translational decisions and support the oncology pipeline. You will partner with scientists, computational teams and project leads to turn data into clear, actionable insights that will aid the progress of GSK’s early pipeline.

A key requirement is solid understanding of computational multiomic approaches in cancer biology, including data generation protocols, data management, and data analysis, as well as translational research skills to derive meaningful and reproducible biological insights that can help project decision making. Documented expertise in the analyses of multi-omics datasets and interpretation of analysis outcomes in a translational setting is necessary whilst experience in complex molecular data integration will be advantageous. Expertise in building data foundations (data engineering, pipelines, standards) is highly desirable for this role. The successful candidate will be part of multidisciplinary teams to answer complex scientific/clinical questions and will need to have strong communication skills and the ability to convey complex ideas and concepts to a range of stakeholders, including peers and leaders.

This role offers strong scope for scientific growth, visible impact on programs, and the chance to work at the intersection of biology, data and clinical translation to help get ahead of disease together.

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

· Ingest, analyse and integrate large-scale pre-clinical and clinical oncology datasets (genomics, transcriptomics, proteomics, and clinical data) to generate reproducible biological and translational insights.

· Provide scientific input and expertise in driving the development and adoption of fit-for -purpose data and informatics infrastructure and pipelines.

· Lead cross-functional workstreams with biologists, clinicians, AI/ML engineers and statisticians to translate findings into testable hypotheses.

· Communicate results clearly to diverse stakeholders through written reports and concise oral briefings.

· Collaborate with cross-functional data and tech teams to support the development and implementation of oncology genomics strategies.

· Evaluate and implement new pipelines, methods and tools (including cloud-based solutions) that streamline access to information and interpretation of findings for translational impact.

· Stay up-to-date with the latest advancements and trends in oncology genomics and molecular data technologies.

· Ensure compliance with relevant regulations and guidelines in the field of oncology genomics.

· Mentor and coach colleagues, and contribute to a collaborative, inclusive team environment.

Why you?

Basic Qualifications & Skills:

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

- PhD in a quantitative subject e.g. Bioinformatics, Biostatistics, Computational Biology, Genomics, Computer Science or related field.
- Significant hands-on experience on analysis and integration of cancer multi-omics and clinical datasets.·
- Strong programming skills in Python and/or R, and significant experience building reproducible data and analysis pipelines and infrastructure.
- Experience working with cloud platforms and scalable compute environments.
- Demonstrated ability to communicate complex analyses to non-specialist audiences.
- Prior work in pharmaceutical or biotech translational research or data teams.
- Track record of collaborative work in multidisciplinary project teams.

Preferred Qualifications & Skills:

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

- Experience building curated, analysis-ready molecular and clinical datasets that enable machine learning and advanced statistical methods.
- Familiarity with managing and integrating single-cell and spatial omics data, including formats, metadata standards, and scalable storage.
- Publication record or presentations demonstrating scientific impact.
- Experience leading projects or supervising team members.

Closing Date for Applications – 25/11/2026 (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.

Skills
Applied Statistics, Data Analysis, Data Engineering, Data Science, Datasets, Drug Development, Drug Discovery Process, Drug Target Identification, Genetic Analysis, Genomic Analysis, Machine Learning (ML), Software Engineering

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.

GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.

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 at [email protected] where you can also request a call.

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  Recruitment FAQ guide. Click the link where you will find answers to multiple questions we receive

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