Description

427061 Associate Director/Scientific Leader, Oncology Translation Big Data Mining

We are seeking a highly skilled and experienced individual to join our team as an Associate Director/Scientific Leader of Oncology Translation - Big Data Mining within the Oncology Translational Research Team. The successful candidate will have a key role in the analysis of large-scale cancer multiomic and clinical data, applying cutting edge algorithms and closely collaborating with AIML and project teams in supporting GSK oncology translational research.

They will need a solid understanding of computational multiomic approaches, cancer biology and translational research to derive meaningful and reproducible biological insights that can help project decision making. Documented expertise in the analyses of multi-omic datasets (in solid and/or haematological malignancies) and interpretation of analysis outcomes in a translational setting is necessary whilst experience in complex molecular data integration will be advantageous. 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.

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

• Process and analyse large scale somatic genomic datasets (e.g. WES/WGS, transcriptomics, proteomics) and combine clinical/phenotypic data to derive biological insights.
• Integrate complex molecular data to derive insights and understand the underlying biology.
• Lead multidisciplinary teams effectively to answer complex scientific questions with a clear view on clinical application.
• Stay updated on emerging technologies and methodologies in big data analytics and apply them to ongoing projects.
• Collaborate with cross-functional teams to support the development and implementation of oncology genomics strategies.
• Present findings clearly and effectively to stakeholders, ensuring alignment with project goals.
• Foster a culture of collaboration, innovation, and continuous learning within the team.
• Ensure compliance with relevant regulations and guidelines in the field of oncology genomics.

Why you?

Basic Qualifications & Skills:

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

• PhD or equivalent experience in data science, bioinformatics, computational biology, or a related field.

• Considerable experience and proven record in cancer computational research (combined academic and or industry experience), including a deep understanding of computational approaches for large-scale multi-omic analysis.
• Experience in cancer research and proven ability to apply computational methods in answering translational research questions and deriving clinically meaningful insights through integration of multi-omic data with clinical/phenotypic information.
• Strong programming skills in Python, R, or similar languages.
• Demonstrated ability to work collaboratively in multidisciplinary teams.
• Excellent communication skills to convey complex data insights to diverse audiences.

Preferred Qualifications & Skills:

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

• Experience of contributing to translational research in a matrix team environment, with exposure to industry drug discovery and clinical development teams.
• Evidence of independence in leading research projects and ability to apply cutting-edge statistical or bioinformatical methods.
• Experience in complex molecular data integration including single cell data and spatial analyses.
• Familiarity with machine learning and advanced statistical methods.
• Knowledge of cloud computing tools and platforms (e.g., AWS, Google Cloud).
• Excellent problem-solving and analytical skills to address complex scientific questions.
• Strong collaboration and partnership skills to work effectively with cross-functional teams.
• Proactive, 'can-do' mindset that bridges ideas to realizable and deliverable solutions to solve problems.
• Highly organized with good attention to detail.
• Sense of urgency, flexibility, integrity, and accountability.

Closing Date for Applications 24th of September, 2025 (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 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.   

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 on [email protected] or 0808 234 4391.  The helpline is available from 8.30am to 12.00 noon Monday to Friday, during bank holidays these times and days may vary.

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