Translational Data Leader, Open to flexible working
As the Translational data leader you will report to either the SVP, Head of CPEM or Head of Clinical Biomarkers and will build and deliver a cross organizational translational data strategy. Responsibilities will include aligning and driving the data strategy across Clinical Pharmacology and Experimental Medicine (CPEM functional lines include Discovery Medicine/Early Development, Clinical Biomarkers, Clinical Imaging, Clinical Pharmacology, Modelling and Simulation) and the wider Research and Development organization, working with colleagues from computational biology, clinical and preclinical statistics, data and computational sciences and AI/ML to ensure data to enable implementation of optimal analytical approaches is in place and support identification and ingestion of data sets. The Translational Data Leader will leverage expertise to deliver cutting edge analytical techniques to maximize the value of datasets to drive the discovery, validation, implementation, and visualization of biomarkers and development of key mechanistic insights supporting the GSK pipeline.
This role will provide YOU the opportunity to drive key activities and responsibilities as follows:
- Developing and driving a strategy for identification and optimal investment in, management and utilisation of datasets coming from both internal studies as well as collaborations and the public domain
- Working with Research Unit, Biomarker Scientists and partners (e.g. Functional Genomics and Human Genetics) to ensure generation and leverage of internal and publicly available data to enable the building of multi-omic signatures for pharmacodynamic endpoint assessment, patient stratification, and asset differentiation.
- Working with Discovery Medicine and Research Units to help leverage internal and publicly available data to support indication selection
- Working with Clinical Pharmacology Modelling and Simulation to optimize use of biomarker data in modelling pharmacodynamic response including PKPD and QSP modelling
- Working with computational biology, clinical and preclinical statistics, data and computational sciences and AI/ML groups to coordinate and ensure application of state-of-the-art analytical approaches, identify and ingest relevant data sets and align resource/skillsets to optimally execute clinical and translational studies
- Working with clinical study teams, data management and statistics to implement state-of-the-art analytical approaches aligned to clinical quality standards
- Point of contact for CPEM and Research organization for translational data and analytical questions and liaison to the wider GSK analytical community
- Communicating complex analytical principles to colleagues and stakeholders
We are looking for professionals with these required skills to achieve our goals:
- Advanced degree in Life Science, Bioinformatics or Data Analytics with demonstrated experience in the application of data and advanced analytical techniques to support the use of translational data for biomarker implementation and the application to drug development.
- Experience and track record of identification and clinical implementation of biomarker and other complex datasets in clinical development
- Broad experience of working with different biomarker data types including diverse omics datasets such as transcriptomic (e.g. microarray and RNA-Seq), proteomic (e.g. MSD, Somalogic, O-link etc) and related platforms, with expertise in at least one area
- Knowledge and experience of a broad range of analytical approaches and application of statistics to high dimensional data analysis.
- Strong understanding of biology and the ability to communicate complex analytical principles to non-analytical colleagues and stakeholders
- Knowledge of GCP principles and track-record of working in clinical studies
- Knowledge of data and metadata good practice (e.g. standards, use of ontologies, FAIR principles)
- Awareness and preferably experience of predictive biomarkers including diagnostic development
- Knowledge and experience of biomarker technologies and their clinical implementation
- Understanding of modelling and simulation approaches and advanced analytic techniques (AI/ML) is an advantage.
In addition to the minimum qualifications, the ideal candidate will possess the following:
- Strong interpersonal skills and experience of leading delivery in a matrix environment
- Ability to influence teams and key stakeholders
At GSK, we're a company with a special purpose, to help people do more feel better and live longer. Realising our purpose starts with us. When we feel at our best, we perform at our best. When you set out on your adventure at GSK, we make a deal. You commit to living GSK's values and expectations and performing against our Innovation, Performance and Trust priorities. And in return, GSK commits to providing the right environment for you to thrive. Put simply, it's about you being motivated to do your best work, in a place where you can be you, feel good and keep growing.
Together we build an environment where we can all thrive and focus on what matters most to each of us. It is only through the energy, dedication, drive and passion of all of us that we can be the very best for GSK, and importantly, for our patients and consumers.
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