About the job
This job is about leading computational analyses for a collaborative contraceptive discovery project within the School of BioSciences. The impact of this work is significant, as it contributes to innovative research in women’s and reproductive health. The team thrives in a supportive, interdisciplinary environment that values curiosity, inclusion, and career development.
You'll be responsible for
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Leading computational analyses
Lead computational analyses of large ‘omics datasets, including single-cell, spatial transcriptomic, proteomic and metabolomic data.⚗️
Implementing molecular simulations
Implement and optimise molecular docking, molecular dynamics simulations and protein modelling approaches for contraceptive candidate discovery.📈
Developing analysis pipelines
Develop, document and share reproducible, version-controlled analysis pipelines and notebooks using R, Python, Bash and HPC.Key criteria
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Computational biology expertise
Experience with computational biology techniques and methodologies.View
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Data analysis skills
Proven ability to analyze large ‘omics datasets effectively.View
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Programming proficiency
Demonstrated skills in R and Python for data analysis.View
