Associate Director/Scientific Leader Oncology Translation Big Data Mining

GSK; Stevenage; Hybrid; GBP 90,000 - 120,000; Full time

Job summary

A global pharmaceutical company in the UK is seeking an Associate Director/Scientific Leader specializing in Oncology Translation and Big Data Mining. This role involves analyzing large-scale cancer data, leading multidisciplinary teams, and leveraging computational methods for impactful research. Candidates should hold a PhD and have significant experience in cancer computational research. The position offers a hybrid work model with competitive benefits, including a salary and annual bonus.

Benefits

Annual bonus based on company performance

Health-care and well-being programmes

Pension plan membership

Shares and savings programme

Qualifications

• Proven record in cancer computational research with large-scale multi-omic analysis.
• Ability to apply computational methods to translational research questions.
• Experience in complex molecular data integration.

Responsibilities

• Process and analyze large-scale somatic genomic datasets.
• Lead multidisciplinary teams to solve complex scientific queries.
• Stay updated on big data analytics technologies.

Skills

Cancer computational research experience

Programming skills in Python

Strong communication skills

Multidisciplinary teamwork

Education

PhD in data science, bioinformatics, or related field

Tools

Cloud computing tools (AWS, Google Cloud)

Job 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 multi‑omic and clinical data, applying cutting‑edge algorithms and closely collaborating with AI/ML and project teams in supporting GSK oncology translational research.

The role requires a solid understanding of computational multi‑omic 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 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, health‑care and well‑being programmes, pension plan membership, and shares and savings programme. Our Performance with Choice programme offers a hybrid working model, empowering you to find the optimal balance between remote and in‑office work.

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.

Basic Qualifications & Skills

• 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

• 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 – 14th of December, 2025 (COB)

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.

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.

Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities, contact us at [e-mail] 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.