Postdoctoral Researcher in Genomics and Computational Medicine

Responsibilities

• Advancement of the research group’s strategy for molecular precision healthcare using diverse biobank‑scale DNA sequencing resources, including whole exome and whole genome sequencing, in collaboration with the leadership team.
• Development of the research group, supervision, development and management of junior staff and students.
• Developing bioinformatic workflows that integrate population‑scale genomics research with data from single cell experiments to identify disease‑relevant cell types and states.
• Mining of electronic health records to sample patient cohorts for genetic analysis.
• Implementation and development of statistical techniques to associate rare and structural variation in the human genome with health outcomes at scale, including deep learning‑derived variant prioritisation methods.
• Using genetically anchored causal inference methods to advance understanding of the genetic causes and mechanisms underlying diverse diseases and their subtypes in ethnically diverse populations.

• PhD in genomics, statistical genomics, genetic epidemiology or a closely related discipline.
• Stage‑appropriate track record of high‑impact research and publications in genomics, multiomics, and/or single‑cell analysis.
• Evidence of successful grant funding and managerial experience, depending on career stage.
• Experience in generation and/or analysis of high‑throughput genomic data.
• Experience in genome‑scale association analyses using large‑scale whole‑genome or whole‑exome sequencing data.
• High level of proficiency in computational genomics, e.g., variant annotation.
• Processing and analysis of multimodal single‑cell ‘omics data, including sc‑RNAseq or sc‑ATACseq, ideally linked to germline genetic variation.
• Aptitude for biological inference and clinical translation.
• Demonstrable extensive experience with principal programming languages in HPC or cloud environments.
• High level proficiency in the English language.