Imperial College London


Faculty of MedicineSchool of Public Health

Clinical Research Fellow



+44 (0)7904 843 810dipender.gill




School of a Public HealthMedical SchoolSt Mary's Campus





I am an Advanced Clinical Research Fellow, specialising in leveraging human genetic data to help unravel cardiometabolic disease mechanisms and offer insight into therapeutic opportunities. Concurrently, I am the Lead for Integrated Omics at the Health Analytics section of Lane Clark & Peacock (LCP). My background is as a Clinical Pharmacologist and General Internal Physician, with more than 11 years of experience within the National Health Service, a Genetic Epidemiologist with more than 200 publications, and as an expert at optimising the integration of human-centric evidence to inform drug development, with more than 3 years of experience in this capacity at the pharmaceutical company Novo Nordisk.

My role at LCP is to lead a multi-disciplinary team focused on leveraging multi-omics data, including genomics, metabolomics, and proteomics, to unravel disease mechanisms, inform drug development efforts, and study the effects of healthcare interventions. My combined expertise in medicine, genetic epidemiology and drug development uniquely positions me as a leading authority on the applications of omics data for generating clinically translatable insights.

I am currently on the Editorial Board of BMJ Medicine, serve as an Editorial Advisor at BMC Medicine, and remain active in research with an H-index of 39, contributing to several international genetic consortia, including the International Stroke Genetics Consortium and the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE).



Patel A, Gill D, Shungin D, et al., 2024, Robust use of phenotypic heterogeneity at drug target genes for mechanistic insights: Application of cis-multivariable Mendelian randomization to GLP1R gene region., Genet Epidemiol, Vol:48, Pages:151-163

Larsson SC, Chen J, Gill D, et al., 2024, Risk Factors for Intracerebral Hemorrhage: Genome-Wide Association Study and Mendelian Randomization Analyses., Stroke

Bassett E, Broadbent J, Gill D, et al., 2024, Inconsistency in UK Biobank Event Definitions From Different Data Sources and Its Impact on Bias and Generalizability: A Case Study of Venous Thromboembolism., Am J Epidemiol, Vol:193, Pages:787-797

Yuan S, Larsson SC, Gill D, et al., 2024, Concerns about instrumental variable selection for biological effect versus uptake of proton pump inhibitors in Mendelian randomisation analysis., Gut

Bouras E, Gill D, Zuber V, et al., 2024, Identification of potential mediators of the relationship between body mass index and colorectal cancer: a Mendelian randomization analysis., Int J Epidemiol, Vol:53

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