Dr. Zhangshu Joshua Jiang

Medical Doctor | Data Scientist | Innovating patient care through real world data and AI
Manchester, GB.

About

A dual-qualified physician and AI/Data Scientist dedicated to transforming healthcare through innovative technology and patient-centric solutions. As a Foundation Doctor with intensive care training and a Clinical Data Scientist, I specialize in developing advanced AI applications, including Large Language Models and NLP pipelines, for clinical decision support and workflow optimization. Proven leader in digital health innovation, academic education, and quality improvement, with a track record of enhancing patient care, improving data accessibility, and driving measurable outcomes within NHS systems. Seeking to leverage deep clinical insight and technical expertise in roles that integrate cutting-edge AI research with direct patient impact.

Work

NHS Clinical Entrepreneur Programme
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NHS Clinical Entrepreneur

Summary

Selected for Cohort 9 as a Dementia Innovator, focusing on developing innovative solutions for dementia care.

Highlights

Participating in a prestigious national program to foster innovation and entrepreneurship within the NHS, specifically as a Dementia Innovator.

Lancashire and South Cumbria Secure Data Environment Programme
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Clinical Data Scientist and AI Research Fellow

Summary

Leading the development and deployment of advanced AI and data science solutions to enhance healthcare interoperability and clinical decision-making within the NHS.

Highlights

Architected and open-sourced OMCP (Model Context Protocol server), enabling secure, role-based LLM access to OMOP CDM databases, facilitating natural-language-to-SQL translation and audit-grade analytics.

Integrated transformer-based NLP into federated OMOP CDM workflows, extracting structured clinical concepts from free-text notes and automating ETL pipelines to significantly reduce data-to-insight time.

Developed and deployed agentic Large Language Model (LLM) systems that converted natural language queries to SQL, improving data accessibility for clinical staff and reducing extraction times.

Designed and implemented machine learning models for multimodal patient data analysis, achieving measurable improvements in diagnostic accuracy.

Led the integration of NLP pipelines into the OMOP Common Data Model, enhancing healthcare interoperability and contributing to a 62M+ node biomedical knowledge graph for AI-driven clinical reasoning.

Deployed and maintained Azure-based AI solutions, providing clinical decision support and automating report generation.

Bridged technical data science expertise with practical clinical applications within the NHS framework, ensuring AI implementations delivered measurable improvements in healthcare delivery and patient outcomes.

Lancashire Teaching Hospitals NHS Foundation Trust
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Medical Doctor (Foundation Doctor)

Summary

Provided comprehensive medical care across diverse specialties, including intensive care, general practice, psychiatry, gastroenterology, ENT, and upper GI surgery, while leading digital transformation initiatives.

Highlights

Managed complex patients in a 32-bed Intensive Care Unit, including post-operative, trauma, and medical emergencies, contributing to daily rounds and morbidity & mortality reviews.

Performed 47 independent arterial line insertions and 87 independent ultrasound-guided cannulations, demonstrating advanced procedural proficiency.

Assisted with 12 independent central line insertions and managed ventilator support for critically ill patients.

Applied evidence-based protocols to enhance patient deterioration recognition and escalation, leading multidisciplinary team coordination and family communication.

Delivered primary care services in underserved urban communities, managing chronic diseases (diabetes, COPD, hypertension) and addressing social determinants of health through collaborative efforts.

Provided specialized care for complex GI cases, managed ENT conditions, assisted in robotic and open surgeries, and delivered perioperative care for patients with oesophageal and pancreatic malignancies.

Clerked and provided ongoing care for inpatients with severe affective and psychotic disorders, carrying out risk assessments, leading MDT ward rounds, and facilitating therapeutic groups and family liaison.

Education

The University of Sheffield

MBChB - Bachelor of Medicine and Surgery

Medicine

Languages

English

Native

Chinese

Native

Spanish

Proficient

Certificates

Retrieval Augmented Generation (RAG) with LangChain
GMC Full Registration with License to Practice

Issued By

General Medical Council

Advanced Life Support (ALS)

Issued By

Resuscitation Council UK

Skills

Programming Languages

Python, SQL, R, Java.

AI/ML Frameworks

TensorFlow, PyTorch, scikit-learn, Hugging Face, OpenAI APIs, Transformers.

Healthcare Standards & Informatics

FHIR, OMOP CDM, SNOMED-CT, ICD-10/11, LOINC, Electronic Health Record (EHR) data structuring and analysis, Clinical decision support system development, Natural Language Processing for medical records, Clinical workflow optimization, Digital health solutions.

Cloud Platforms

Azure, AWS, GCP, Healthcare Compliance.

Clinical Skills

Advanced life support, Critical care management, Multidisciplinary team leadership, Clinical decision-making, Evidence-based medicine application.

Research & Innovation

AI/ML model development for healthcare applications, Clinical data analysis and interpretation, Health technology assessment and implementation, Academic writing and presentation.

Leadership & Management

Project management, Team coordination, Change management, Digital transformation, Educational programme development and delivery, Stakeholder engagement and communication.

Projects

SharePoint Clinical Handover System Implementation

Summary

Led a digital transformation project to transition from paper-based to cloud-based clinical handover systems within a hospital trust.

Clinical Audit & Innovation Projects

Summary

Conducted quality improvement projects and implemented new clinical protocols to enhance patient care pathways.

National Medical Education Leadership: Finals 2 Foundation Series

Summary

Organized and led a 14-week national medical finals revision series for aspiring doctors.