Director, Integrative Sciences

GSK; Stevenage; Hybride; GBP 150 000 - 230 000; Plein temps

Avantages offerts par ce poste

Healthcare

Annual bonus

Pension plan membership

Shares and savings programme

Hybrid work model

Résumé du poste

GSK seeks a visionary Director of Integrative Sciences to lead translational biomarker strategies and diagnostic platform innovation within Oncology Translational Medicine. The role focuses on cutting-edge approaches like AI/ML, multi-modal omics, and biomarker-driven clinical development for ADCs and other modalities.

The candidate will guide analytical strategies, data interpretation, and cross-functional collaboration, with a relocation timeline to Cambridge, UK.

Qualifications

• PhD in computational biology, bioinformatics, machine learning or related field required.
• 7+ years in Pharma/Biotech or academia with oncology research and biomarker analysis focus.
• Ability to lead cross-functional teams and influence in a matrix environment.
• Experience with emerging diagnostic platforms and translational medicine.
• Advanced knowledge of statistical methods for high-dimensional data.
• Experience with GitHub, R Shiny, R Markdown and cloud/HPC environments.

Responsabilités

• Lead innovation in diagnostic technologies, including multi‑modal biomarker platforms and imaging.
• Develop oncology foundational models and AI/ML analyses on complex datasets.
• Apply analytical methods to enable biomarker discovery and diagnostic strategies for ADCs and other modalities.
• Oversee integration of oncology models to inform translational medicine and clinical development.
• Collaborate with cross-functional teams to derive meaningful insights from complex biology.
• Identify, evaluate, and implement emerging technology platforms for diagnostic innovation.
• Communicate data analysis outputs clearly to senior leaders and non-technical partners.
• Champion integration of biomarker strategies into clinical development plans.

Connaissances

Computational biology

Bioinformatics

Machine learning

Computational pathology

AI/ML

Formation

PhD in computational biology or related field

MD degree (preferred)

Outils

GitHub

R Shiny

R Markdown

Cloud / HPC environments

Description du poste

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

Director, Integrative Sciences

We are seeking a visionary leader to join our Oncology Translational Medicine Integrative Sciences team as the Director of Integrative Sciences.

This role will focus on driving innovation in diagnostic technology platforms, leveraging cutting-edge approaches such as oncology foundational models, real world data, multi-modal omics data, AI/ML, computational pathology, and biomarker discovery to transform how we understand and treat cancer. The successful candidate will play a pivotal role in shaping biomarker, diagnostic, and clinical development strategies, particularly in the context of antibody-drug conjugates (ADCs), T cell engagers and other advanced therapeutic modalities, while maintaining responsibilities for analyzing clinical trial biomarker data to enable translational medicine approaches.

For candidates seeking to be located at our Stevenage site, 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 Ware in accordance with timelines to be set by the Company. The relocation is currently proposed to take effect by early 2029.

Key Responsibilities

In this role you will

• Lead innovation in emerging diagnostic technologies, including ctDNA, computational pathology, advanced imaging techniques, and multi-modal biomarker platforms, to enhance patient stratification, therapeutic targeting, and mechanism-of-action insights.
• Develop and apply oncology foundational models and AI/ML analytical approaches to complex clinical, real-world and biomarker datasets, including high-dimensional data such as single-cell transcriptomics, spatial omics, proteomics, and cfDNA.
• Serve as a subject matter expert in application of analytical methods and emerging diagnostic technologies to enable biomarker discovery and diagnostic strategies to optimize patient selection, dose determination, and combination therapy approaches with a focus on antibody-drug conjugates (ADCs).
• Oversee the integration of oncology foundational models to inform translational medicine and clinical development strategies ensuring robust interpretation, practical implementation and timely communication across matrix teams.
• Collaborate with cross-functional teams, clinical development, CPMS (Clinical Pharmacology and Modelling Simulation), Diagnostic, Translational Research, and AI/ML teams, to evaluate and apply complementary data analytics approaches for meaningful insights into complex biology.
• Lead efforts to identify, evaluate, and implement emerging technology platforms to advance diagnostic innovation and support pipeline growth.
• Provide leadership and accountability for clear and timely communication of data analysis outputs, complex analytical principles, and models to diverse stakeholders, including senior leaders and non-technical partners.
• Champion the integration of biomarker and diagnostic strategies into clinical development plans, ensuring alignment with oncology research unit and translational medicine objectives
• Drive the application of computational pathology and AI-driven image analysis to enhance diagnostic capabilities and biomarker discovery in oncology programs.
• Support the evaluation of academic partnerships and external technology platforms, ensuring alignment with Oncology Translational Medicine goals and innovation priorities.
• Contribute to due diligence efforts for business development opportunities, leveraging expertise in advanced analytics and emerging diagnostic technologies.

Why you?

Basic Qualifications & Skills:

• PhD degree or equivalent experience/training in computational biology, bioinformatics, machine learning, computational pathology, or a related field.
• 7+ years of applied experience in Pharma/Biotech or an academic setting, with a focus on oncology research, diagnostic innovation, and biomarker analysis.
• Demonstrated ability to lead and influence cross-functional teams in a matrix environment, driving alignment and delivering impactful outcomes.
• Experience with emerging diagnostic platforms and technologies, including their application to translational medicine and clinical development.
• Demonstrated advanced knowledge of statistical and analytical methods relevant to the analysis of complex high-dimensional heterogeneous datasets.
• Experience with GitHub, development of R Shiny applications/R markdown, and working in cloud or high-performance computing (HPC) environments.

Preferred Qualifications & Skills:

• MD degree with oncology clinical development experience is highly desirable and considered an upside for this role.
• Expertise in oncology foundational models and AI/ML analytical approaches applied to complex biomarker datasets.
• Proficiency in coding skills (e.g., R, Python) and strong working knowledge of bioinformatics databases, resources, and tools.
• Proven ability to analyze and interpret high-dimensional datasets (e.g., single-cell and spatial transcriptomics, proteomics, cfDNA) using advanced modeling techniques.
• Experience with computational pathology and AI-driven image analysis in the context of diagnostic innovation.
• Strong knowledge of clinical trial biomarker data analysis and its application to precision medicine strategies.
• Demonstrated experience with antibody‑drug conjugates (ADCs) and their associated biomarker and diagnostic strategies.
• Proven leadership experience in driving diagnostic innovation and implementing emerging technologies in oncology research.
• Strong track record of integrating preclinical and clinical biomarker data to inform translational medicine strategies.
• Familiarity with regulatory requirements and data standards for transitioning programs into clinical trials.
• Strategic mindset with the ability to influence and drive decision-making in a matrix environment.

#LI-GSK

Please take a copy of the Job Description, as this will not be available post closure of the advert.

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

Skills

Analytical Thinking, Clinical Data Interpretation, Clinical Data Review, Clinical Development, Clinical Trial Designs, Clinical Trials Monitoring, Digital Fluency, Drug Regulatory Affairs, Executive Presence, Hematology and Oncology, Learning Agility, Matrix Leadership, Real World Evidence (RWE), Scientific Presentations

• If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $189,750 to $316,250. The US salary ranges take into account a number of factors including work location within the US market, the candidate’s skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. If salary ranges are not displayed in the job posting for a specific country, the relevant compensation will be discussed during the recruitment process.

Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees.

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.

If you require an accommodation or other assistance to apply for a job at GSK, please contact the appropriate Recruitment Staff by emailing us at [e-mail].

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.

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 https://openpaymentsdata.cms.gov/