# Director, Integrative Sciences

**Company**: GSK
**Location**: Pennsylvania - Upper Providence
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $189,750 to $316,250
**Category**: Healthcare
**Industry**: Healthcare

**Apply**: https://gsk.wd5.myworkdayjobs.com/en-US/GSKCareers/job/USA---Pennsylvania---Upper-Providence/Director--Integrative-Sciences_447479?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_de020f11-6c1

## Description

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.

**Key Responsibilities**

- 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.

**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.

**Benefits:**

- Competitive salary

- Annual bonus based on company performance

- Healthcare and wellbeing programmes

- Pension plan membership

- Shares and savings programme

- Hybrid working model

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## Skills

### Required
- computational biology
- bioinformatics
- machine learning
- computational pathology
- statistical analysis
- analytical methods
- GitHub
- R Shiny applications
- cloud computing
- high-performance computing

### Nice to have
- oncology foundational models
- AI/ML analytical approaches
- single-cell transcriptomics
- spatial omics
- proteomics
- cfDNA
- antibody-drug conjugates
- AI-driven image analysis

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