Computational Genomics jobs

Investigate differences in animal behaviour using single-nucleus transcriptomic analysis of brain tissue in the School of Psychology. The researcher will collect, process and interpret gene-expression data, maintain reproducible open-source analysis workflows, and contribute to data governance, publications and student supervision. This is a two-year,…

Develop new AI and machine-learning methods for biological research in a tenure-track appointment shared by UC Berkeley’s EECS department and Center for Computational Biology. Topics include predicting cellular responses to genetic, molecular and environmental perturbations, molecular interactions, genotype-to-phenotype relationships, genome and biomolecule…

Develop computational and mathematical methods for soil microbiomes in the Quince Group. The work combines long- and short-read metagenomics with metatranscriptomics, resolves strain diversity using statistical models, and supports predictive models of natural soils and synthetic microbial communities. The full-time appointment lasts three years, with…

VIB’s Center for AI and Computational Biology and KU Leuven’s Department of Human Genetics seek a group leader and professor developing AI and mechanistic mathematical models for biological questions. Potential themes include hybrid mechanistic and deep-learning models, genome-regulation foundation models, single-cell and spatial multi-omics, protein…

VIB.AI and KU Leuven seek a group leader and professor developing AI and mechanistic models for biological research. Possible areas include genome-regulation foundation models, protein structure and interactions, cellular imaging, disease models, digital twins and experimental feedback. The role combines independent research, supervision, teaching and…

Join NIHR BioResource to manage a small team providing genomic datasets and selecting research cohorts. The role supports migration from university high-performance computing to AWS, a variant database and a secure data-sharing environment, while contributing to computational genomics and translational research. The contract initially runs to 31 March 2028.…

Develop quantitative-genetic and genomic methods for aquaculture breeding, combining multi-trait and multi-environment prediction with optimisation and data science. Research covers Look-Ahead Genomic Selection, haplotype stacking and breeding strategies balancing genetic gain, resilience, adaptability, sustainability and genetic diversity. Build simulation…

Twelve funded four-year doctoral studentships begin on 1 October 2027. Students undertake three initial rotations across genomic research groups, including computational and experimental work, before agreeing a final laboratory and project. Funding includes tuition and stipend support regardless of nationality; international students receive visa and…

The Haibe-Kains Lab at Princess Margaret Cancer Centre seeks a researcher for computational oncology, biomarker discovery and treatment-response modelling. Work combines genomic, molecular and clinical data using multimodal learning and foundation models, with reproducible, privacy-aware and federated workflows across collaborating institutions. The…

The Department of Genetics seeks an Assistant or Associate Professor researching pathogen genetics or host-pathogen interactions. Eligible scientific approaches span molecular and cellular mechanisms of infection, immunity and resistance, within-host and population dynamics, evolution and population genetics, using experimental, computational or theoretical…

PhD project in Evgenia Salta's Neurogenesis & Neurodegeneration lab at the Netherlands Institute for Neuroscience, run jointly with Carlos Fitzsimons's group at the Swammerdam Institute for Life Sciences, University of Amsterdam, and funded by the Dutch Research Council (NWO) Open Competition. The project asks how repetitive mild traumatic brain injury…

The Nirschl laboratory develops AI methods for human neurodegenerative disease. Projects combine whole-slide pathology, clinical and imaging records, molecular measurements and spatial omics to study tissue phenotypes and validate biomarkers in Alzheimer’s and Lewy body diseases. Responsibilities include model development and evaluation, reproducible…

Reconstruct and analyse ancient pathogen genomes from metagenomic datasets spanning Neolithic to post-medieval contexts in Eurasia and the Americas. Research combines reference-based and de novo reconstruction with comparative analysis of modern bacterial genomes to investigate pathogen evolution and historical disease. The full-time appointment initially…

Sibylle Vonesch’s Laboratory for Genome Editing and System Genetics seeks a computational postdoctoral researcher for high-throughput studies of genetic variation. MAGESTIC links thousands of precisely engineered CRISPR variants to DNA barcodes, enabling measurement of genotype–phenotype relationships across large cell populations. The project examines how…

Develop computational approaches to understand Gene Writing biology and assess genomic safety. The scientist works with experimental teams on study design and multi-omics analysis, builds reproducible sequencing pipelines and interprets molecular data for research and preclinical programmes. The Somerville role requires onsite work two to three days per…

Support computational studies of why individuals differ in normal brain ageing. The technical role analyses large biological datasets, including single-cell genomic and transcriptomic measurements.

This full-time, two- to three-year position investigates genome stability and trait expression in allotetraploid tomatoes. The project combines whole-genome and transcriptome analysis, recombination studies, phenotyping and graft-compatibility experiments, with opportunities for fieldwork and mentoring. Applications are reviewed until the position is filled.

Develop scalable machine-learning methods and infrastructure for the Brain Health initiative. Integrate digital histology, spatial transcriptomics, MRI and clinical data to model brain-disease progression at cellular resolution. Responsibilities include foundation models, distributed training, robust data pipelines and open-source scientific tools. This…

Integrate phenomic, transcriptomic, genomic and proteomic data to nominate targets and validate immunology and inflammatory-disease hypotheses. Work includes target evidence packages, early patient-population strategies and mechanism-of-action analysis in collaboration with experimental and computational drug-discovery teams.

Translate frontier machine-learning prototypes into scalable systems for drug discovery. The role optimises models such as diffusion networks, transformers and DNA-sequence models in JAX or PyTorch, improves distributed training and inference, and develops research libraries and evaluation tools.

Develop sequence-based deep-learning models of gene regulation and aging. Research predicts gene expression and chromatin accessibility from DNA, interprets genetic variation and connects model predictions with experiments, causal mechanisms and possible intervention points.

Brain Health is a new global collaborative research initiative designed to accelerate understanding of human brain diseases through large-scale human tissue analysis, open science, AI-enabled disease modeling, and translational platform technologies. Building on foundational advances in human brain cell atlases, quantitative neuropathology, single-cell and…

We seek a Scientist I to build the computational backbone of a lab-in-the-loop platform that designs and validates synthetic enhancers for precision cell-type targeting in the brain. In this cycle, model-designed sequences are tested experimentally, and the results retrain the next round of models. You will contribute to an open-source codebase for…

Lead multimodal analysis of mammalian neuromodulatory cell types within the Allen Institute Neural Dynamics accelerator. The project integrates single-cell transcriptomics, reconstructed neuronal morphology, input/output connectivity, and in vitro and in vivo physiology to understand how molecular, structural and functional properties define cell types. The…