Senior Postdoctoral Fellow

We are seeking a talented and motivated Senior Computational Postdoctoral Fellow to lead the analysis for Project JAGUAR, a landmark multi‑country initiative generating one of the world’s most comprehensive single‑cell immune transcriptomic resources from diverse Latin American ancestries. This 3‑year role sits at the heart of an equitable, international consortium focused on scientific discovery, capacity building, and inclusive collaboration. You will play a key role in advancing large‑scale single‑cell analysis, shape analytical strategy, and lead a distributed and equitable analysis model involving partners across seven Latin American countries.

This position offers a rare chance to work at global scale in a project that is as much about science as it is about capacity building, equity, and reshaping international collaboration. You will work closely with local teams, contribute to training and shared analytical development, and help steward a model that empowers researchers across the region to lead future genomic initiatives.

If you are excited by big data, global partnerships, and impactful questions at the heart of human diversity and immune regulation, we would love to hear from you.

• Overseeing the end‑to‑end analysis of a multimillion‑cell PBMC scRNA‑seq dataset
• Developing and optimising pipelines for QC, integration, clustering, annotation, and cell‑state modelling
• Performing genetic and ancestry‑aware analyses, including regulatory variant mapping and donor‑level modelling
• Coordinating and mentoring analysts across Latin America, ensuring coherent, high‑quality, and equitable analytical contributions
• Driving joint interpretation, reporting, and publication of consortium findings
• Developing scalable workflows and documentation to support consortium‑wide training, reproducibility, and knowledge sharing
• Contributing to strategic planning for downstream analyses, extensions, and cross‑modal integration

Project JAGUAR is a major collaborative effort between the Trynka Group at the Wellcome Sanger Institute and partner institutions across seven Latin American countries. The project is a unique, first‑of‑its‑kind effort designed to close a major gap in global genomics research by creating a deeply characterised single‑cell cohort representing the rich ancestry diversity of Latin America.

We have generated millions of immune single‑cell profiles using scRNA‑seq, scATAC‑seq, CITE‑seq profiling, and enriched with genotyping, ancestry inference, and general health questionnaire metadata. Our collaborative analysis framework is co‑developed with analysts in Latin America, ensuring equitable contributions, shared ownership, and long‑term capacity building. This model is transforming how international genomics collaborations are designed and delivered. Our goal is to understand how genetic variants and ancestry shape immune function, and to provide a foundation for more equitable and globally representative human genomics.

• Demonstrable experience with single‑cell RNA‑seq analysis, including QC, integration, clustering, and annotation.
• Proficiency in Python and/or R for large‑scale data analysis.
• Experience developing reproducible workflows, pipelines, and scalable data‑processing frameworks.
• Knowledge of population genetics, ancestry inference, or genetic association analyses.
• Experience working with high‑dimensional datasets and statistical modelling.
• Demonstrated ability to lead complex analysis projects and coordinate work across multiple partners or teams.
• Proven ability to work independently and deliver research projects.
• Excellent communication skills with experience engaging diverse and multicultural research teams.
• Experience training, mentoring, or supporting junior analysts or collaborators.
• Interest in contributing to capacity building and equitable international science.
• PhD in computational biology, bioinformatics, statistical genetics, genomics, or a related field.
• Publication record demonstrating experience in high‑quality computational research.
• Proven ability to develop and maintain effective working relationships with a wide range of persons of differing…