Associate Director Oncology Translation Big Data Mining

1054 GlaxoSmithKline Services Unlimited

Stevenage

Hybrid

GBP 110,000 - 140,000

Full time

3 days ago
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Benefits offered by this job

Hybrid work model
Annual bonus
Healthcare programmes
Pension plan
Shares plan

Job summary

GSK is seeking an Associate Director of Oncology Bioinformatics to lead acquisition and analysis of large-scale cancer molecular and clinical data. You will collaborate with scientists and data teams to turn data into actionable translational insights supporting the oncology pipeline.

The role requires strong multi-omics expertise, translational research skills, and experience building data infrastructures. A hybrid working model and competitive benefits are offered.

Qualifications

  • 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.

Responsibilities

  • 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.

Skills

Python
R
Data pipelines
Cloud computing
Communication
Cross-functional collaboration

Education

PhD in quantitative subject

Job description

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:
  • 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:
  • 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)

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 UKRecruitment.Adjustments@gsk.com 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.

Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at https://openpaymentsdata.cms.gov/

We are 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. Getting ahead means preventing disease as well as treating it, and we aim to impact the health of 2.5 billion people around the world in the next 10 years. 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 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.

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