Biomarker Lead

Major Accountabilities

• Acts as BMD strategic and scientific leader in Japan at project or collaboration level to lead
  biomarker strategies and plans with the various local and global team members.

• Develops deep understanding of the translational biomarkers for a project/program (and associated clinical studies), focused on compound, disease, target, and pathway biology.

• Establishes scientific partnerships with local KOLs around biomarkers and translational research.

• Supports health authorities’ interactions around biomarkers and translational research.

• Ensures alignment and connectivity with other BMLs, therapeutic area leads and heads across assets, indications, and therapeutic areas.

• Partners with Biomarker Study Experts (BSE) and BMD Line Function Subject Matter Experts (SMEs) on the study strategic planning, and BM implementation.

• Is responsible for the contextualization and interpretation of the biomarker data including CSR review.

• Cooperates closely with Therapeutic Area Biomarker Head (TABH) or Therapeutic Area Biomarker Lead (TABL) as well as BMD Line Functions to enable the development of project/study level biomarker strategy and plans, implementation, contextualizing, and interpretation.

• Is an enterprise partner and strategic leader in the matrix environment, able to integrate and represent projects in the internal/external scientific discussions and initiatives. 

Education/Experience:

• PhD, MD, MD/PhD, or MS degree is required.
• Good understanding of biology and translational research that can be applied to questions of patient’s selection, enrichment, dose selection, efficacy and response, disease progression, mechanism of actions, among others.
• Scientific excellence supported by academic and/or industry career track, and/or high-quality publications; clinical and/or biological expertise.
• Significant relevant experience after your MD/PhD/postdoc including drug development, clinical research/development, or translational research.
• Track record of contributions to clinical programs and studies in pharma industry (or biotech) is strongly preferred.
• Experience and familiarity with quantitative research and data is preferred, examples include biostatistics, omics profiling, AI/ML, bioinformatics, computational biology, clinical imaging, machine learning, or data science.
• Proven success in leading and partnering in multidisciplinary matrix teams across Pharma/biotech, or academic institutions.
• Creative and innovative leadership, experience in balancing big picture thinking with detailed analyses and operational aspects.
• Well-developed interpersonal and leadership skills with strong presence and ability to influence and navigate large organizational structures as well connect and network with KOLs.

Languages:

• Fluent Japanese (oral and written), Fluent English (oral and written)