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Hajira is a GP and leads a research group using big data and artificial intelligence to drive the prevention of long-term conditions and improve outcomes for people living with Multiple Long-Term Conditions (multimorbidity) - through holistic and integrated care.

She leads several parallel research programmes spanning the full translational cycle — from advanced data analysis and epidemiology, through intervention development and trials, to real-world application and clinical implementation. Her work increasingly harnesses artificial intelligence techniques to enhance the analysis of complex health data and to develop more targeted interventions.

Hajira draws on a wide range of primary care and linked electronic health record datasets, including CPRD, SAIL, QResearch, ELSA, CHIA, and international resources from Canada and the USA. She has also curated novel datasets linking health, social, and environmental data to better understand the complex drivers of long-term conditions.

Hajira co-leads the Methodology Workstream for the , which has been established to bring together the NIHR’s translational, applied, and policy research infrastructure. She previously established and chaired the COVID-19 Big Data National Group, and contributes to . She is an honorary fellow at the . She has provided evidence to Government ministers on big data methods and their interpretation,  and is also editor-in-chief of the