Bioinformatician for a Museum Insect Pollinator Genomics Project at the Natural History Museum, London, UK. Full details for this position at https://jobs.nhm.ac.uk/Job/JobDetail?JobId=431 Job Summary The Natural History Museum has recently been awarded a grant by the UK Natural Environment Research Council for an exciting project to sequence and analyse population-scale genome datasets of a representative set of UK insect pollinators. We will use these data to better understand changes in diversity for this important group, and draws on our experience in leadership roles for the Darwin Tree of Life and Biodiversity Genomics Europe projects. Based in the Life Sciences department, you will work with the project Lead Investigator Ian Barnes, co-Leads Gavin Broad and Ben Price, project co-ordinator Inez Januszczak, core technical staff, and a variety of stakeholders. The project will analyse DNA from modern and museum insect pollinator collections, to assess changes in diversity and selection in these species over the last 100 years. Through comparison with environmental and climate records, we hope to infer the drivers of these changes, and make recommendations to relevant stakeholder groups. You will ensure we have robust and well-documented data analysis methods, which we can use to identify changes in the genomes of key UK insect pollinators. You will work with NHM colleagues and other project partners to ensure that our sampling strategy covers the full historical range of diversity in our chosen species, and to communicate your findings across the project and beyond. Main Responsibilities - Develop and implement bioinformatics pipelines for processing and analysing whole-genome sequencing data from both historical and contemporary insect specimens. - Conduct population genomic and phylogenomic analyses, integrating ancient and degraded DNA datasets with modern genomic data. - Support collaboration between NHM and external project partners, including UKCEH, BBCT, and Natural England, to ensure alignment of bioinformatics analyses with conservation objectives. - Manage and analyse large-scale genomic datasets, applying best practices in quality control, variant calling, and genome assembly where relevant. - Integrate genomic and environmental data to assess historical shifts in genetic diversity and adaptation across UK insect pollinators. - Work closely with the project technician and coordinator to optimize workflows for sequencing, data processing, and metadata curation. - Develop and maintain standardized analytical workflows and reproducible scripts to support long-term pollinator genomic monitoring efforts. - Lead the writing of publications, data management plans, and Standard Operating Procedures (SOPs) to ensure best practices in bioinformatics are followed and documented. - Train and support project collaborators and PhD students in genomic data analysis and bioinformatics methodologies as needed. - Present findings at conferences and workshops, engaging with both academic and applied conservation audiences. - Ensure data management and analysis comply with NHM and UKRI policies, FAIR principles, and open science guidelines. Person Specification The successful postholder will need the following skills and experience: - PhD in bioinformatics, evolutionary biology, genomics, or a related field, with a strong focus on computational analysis of genomic data. - Experience in whole-genome sequencing data analysis, particularly in handling degraded or historical DNA samples. - Proficiency in Unix/Linux environments, scripting languages (e.g., Python, R, Bash), and pipeline development using workflow managers. - Experience with population genomics methods (e.g., SNP calling, demographic inference, selection analysis) and working with large genomic datasets. - Strong skills in statistical analysis and visualization of genomic data. - Demonstrated ability to work independently while effectively collaborating within a multidisciplinary research team. - Excellent scientific communication skills, with a strong publication record in relevant fields, and a demonstrated ability to lead on bringing work to publication. - Prior experience engaging with stakeholders in conservation, museums, or ecological monitoring would be desirable. - Familiarity with pollinator ecology and conservation would be desirable. Ian Barnes (to subscribe/unsubscribe the EvolDir send mail to golding@mcmaster.ca)