Ying Liu

Scientific and evidence strategy leader with 15+ years of experience turning real-world healthcare data into clear scientific, clinical and strategic insights. Excellent in scientific and medical narrative development, creating clear, action-oriented materials that support customer engagement, stakeholder understanding and evidence-based decision-making. Strong cross-functional and multi-stakeholder collaborator able to work effectively with pharmaceutical companies, biotech organizations, CROs, academic partners, HCPs, and internal cross-functional teams to translate evidence into locally relevant recommendations and action-oriented solutions.

Broad therapeutic-area foundation spanning cardiometabolic/metabolic disease, oncology and rare diseases, with experience in patient journey assessment, care pathway insights, multi-omics interpretation and real-world evidence translation. Rapid learning agility and adaptive execution, quickly assimilating unfamiliar scientific and therapeutic contexts, identifying key evidence and stakeholder needs, and delivering high-quality outputs with clarity, speed and precision.

Director - Scientific and Advisory Services at Diaceutics PLC (2022-01 – Present)

• Scientific strategy and evidence translation: translated real-world, clinical workflow and multi-source healthcare data into insights supporting brand strategy, evidence planning, launch readiness and customer engagement.
• Tactical planning and execution: developed strategic readouts, educational materials and client-ready recommendations with clear objectives, milestones and outputs supporting pharmaceutical scientific and commercial teams.
• Customer-facing scientific engagement: led advisory, educational and insight-generation projects, synthesizing evidence and expert input into clear narratives for HCP, TL/KOL/KEE, client and internal stakeholder audiences.
• Evidence generation and thought leadership: led practice gap and real-world evidence outputs translating complex data into insights on patient attrition, care pathway gaps and opportunities for practice improvement.
• Cross-functional execution: partnered with analytics, client engagement, medical, commercial and publication teams to build insight frameworks, interpret datasets and deliver compliant scientific outputs.
• Capability building and scientific training: developed trainings, knowledge-sharing forums, proposal input and AI-enabled workflows to improve research efficiency, evidence synthesis and deliverable quality.
• Recognition: Performance rating of "Exceeds Expectations" (2024 & 2025 review cycle).

Scientific Consultant at Toronto Bioscience Consulting Group (2016-01 – 2022-12)

• Bridged academia and industry, translating emerging science into commercially relevant opportunities for life science clients.
• Developed strategic proposals and scientific rationale for clinical and translational research projects.

Senior Scientist, Translational Research at iCarbonX (2019-01 – 2022-12)

• Led translational research programmes applying multi-omics, digital health and real-world data integration to disease classification, patient stratification and precision treatment selection.
• Partnered with data science teams to design analytical approaches and interpret complex multi-source datasets, translating results into biological and clinical insights.

Scientist, Translational Research (Metabolic Disorder Division) at iCarbonX (2018-01 – 2019-12)

• Delivered biomarker discovery and validation work in metabolic disease using omics-based approaches.

Research Associate, Islet Core Laboratory at University Health Network (2016-01 – 2018-12)

• Conducted translational research in islet biology and diabetes, supporting collaborative academic and industry research projects.

Research Fellow at University of Toronto (2012-01 – 2016-12)

• Investigated metabolic and endocrine mechanisms of disease; published manuscripts and presented findings to academic and clinical audiences.

PhD Candidate and Laboratory Manager at York University (2005-01 – 2012-12)

• Completed doctoral research in biology and physiology while managing laboratory operations, budgets, training and compliance.

Internship and Residency at Shanghai International Obstetrics and Gynecology Hospital (1997-01 – 1999-12)

• Clinical rotations in obstetrics and gynaecology as part of medical training.

Certificate in Data Science and Statistics – Massachusetts Institute of Technology, Institute for Data, Systems, and Society (IDSS) (2022-01 – 2022-12)

PhD in Biology (Physiology) – York University (2005-01 – 2011-12)

BSc in Biology – York University (1999-01 – 2004-12)

MD in Gynaecology and Obstetrics – Shanghai Jiao Tong University (1995-01 – 1998-12)