Clinical Scientist (Oncology) - Japan
gsk
Job description
About the role
GSK is looking for a Clinical Scientist (Oncology) in Japan who is responsible and accountable for the clinical scientific outputs of assigned projects and studies. The role covers about 2 to 4 projects at a time and works closely with Japan Development, Japan Regulatory Affairs, Japan Medical and other colleagues, as well as the global Medicines/Vaccines Development Team.
Key responsibilities
- Provide matrix leadership of the Japan clinical team (Clinical Science, Clinical Operations, Medical Writing, Biostatistics, Data Management) to ensure integrated planning and execution oversight.
- Lead Japan's clinical development strategy and plan, including clinical positioning, development plan and study design, to deliver differentiated medicines and vaccines.
- Review clinical study documents (protocol, informed consent form, case report forms, statistical analysis plan) and regulatory documents (CTD, briefing documents, responses to regulator queries).
- Act as a co-decision maker with Japan MDL/JVDL/CDL to resolve disputes within the clinical team.
- Work with the central clinical team on a global and Japan clinical development strategy, and represent the project internally and externally (regulators, ethics committees, healthcare professionals, patient groups).
- Produce evidence outputs: interpret study data for the Clinical Study Report, and prepare abstracts, posters and presentations for meetings, congresses and journals.
- Oversee quality and compliance in Japan clinical development, including risk management, and escalate issues where needed.
Required profile
- Japanese MD licence.
- Scientific, medical and regulatory knowledge of disease, treatments and guidelines.
- Experience contributing to projects and working with multiple stakeholders.
- High-level English and fluent Japanese.
Required skills
- Strategic assessment and decision making for clinical development plans and study designs.
- Solid understanding of clinical research and biostatistics principles.
- Ability to analyse and interpret moderately complex information using statistics and visualisation.
- Stakeholder management, matrix leadership and cross-functional collaboration.
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