Data Science jobs

Three-year postdoctoral position at the Faculty of Psychology, University of Bergen, in the Technological Advancements cluster of the AI LEARN centre, which investigates how advanced, human-centred AI technology can empower human learning. The fellow will develop, evaluate and validate methods for synthetic data generation that enable secure and trustworthy…

Support NIHR BioResource cohort discovery by linking genomic, phenotypic, demographic and clinical data. Prepare research cohorts and de-identified datasets, manage metadata assets and work with researchers on data protection and security. The role is based at Cambridge Biomedical Campus and initially funded until 31 March 2028. Full-time hours are 37 per…

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…

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…

Join the PERCS project’s spatial-science synthesis work on perennial restoration in agricultural landscapes. Model ecological and biodiversity benefits, prioritize restoration locations and build a practical digital tool for project partners. Collaborate across disciplines and communicate findings through papers, reports and workshops under Matthew…

The Bioinformatics and AI Expertise Unit at VIB–KU Leuven’s Center for Cancer Biology seeks a data scientist to develop and evaluate LLM-based tools for research. The role connects agents to analysis pipelines, high-performance computing, databases and research protocols, supporting multi-omics and spatial-data work. Responsibilities include assessing…

Research neural interfaces, implantable neurotechnology, neural decoding and closed-loop brain-computer interfaces. Topics include electrode and sensor design, biocompatible materials, high-channel-count recording and stimulation, neurophotonic probes combining optical stimulation with electrophysiology, and adaptive or deep-learning decoders. The…

Develop digital platforms for energy-system research in Mérida Labs using the UBC Smart Hydrogen Energy District. Projects combine renewable energy and hydrogen technologies, datasets, simulation, optimisation and machine learning to support decarbonisation research. The fellow works with academic and industry partners, mentors students and helps identify…

Join the Algorithms and Visualization Group in ETH Zurich’s Social Networks Lab to develop methods for football match and performance analysis. Research uses event and player-tracking data and includes collaboration with professional football stakeholders, teaching and student supervision, and development of an independent research agenda. The full-time…

Studio D3 (data-driven discovery) at the Allen Institute brings scientists from mathematical and quantitative backgrounds, both experienced in biology and new to it, to biology's hardest questions with new mathematical, computational and theoretical approaches to living systems. Fellows work in a collaborative, studio-style environment where data, theory…

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…

The Max Planck School of Biomedical Artificial Intelligence is recruiting its first cohort for 25 fully funded, structured three-year PhD positions at the interface of AI and the life sciences. Doctoral researchers will develop computational and AI methods for molecular and cellular systems, protein and molecule design, complex biological traits and neural…

Statistical Sciences invites applications for a tenure-stream position starting July 1, 2027. Research should advance computational foundations of data science, including simulation, inference, optimization, randomized numerical methods or scalable high-dimensional algorithms. The role combines independent funded research with teaching and service. A…

The Division of Engineering and Applied Science at the California Institute of Technology invites applications for tenure-track and tenured faculty positions. Preference will be given to candidates at the Assistant Professor level; however, extraordinary applicants at the Associate Professor or Full Professor level may also be considered. We seek highly…

Develop communication-efficient, privacy-preserving distributed learning algorithms for streaming data in edge inference networks. The PRIDeL collaboration connects Inria, Simula and NYCU, combining theory or experiments on convergence, generalization, data freshness and differential privacy. The doctorate must be defended by 31 December 2026, and the…

Build an open dataset of human crowd dynamics for the VirtUs team’s FOUL-X project. Coordinate video acquisition at four to six sites in France, validate pedestrian tracking, organize trajectory data and develop metrics comparing crowd behaviour. Work with tracking and modelling researchers while addressing anonymisation, ethics and GDPR. Gross monthly pay…

Develop data-driven models of collective human behaviour in the VirtUs team’s FOUL-X project. Explore generative, imitation-learning and physics-informed approaches using real pedestrian trajectories, adapting models across sites and limited datasets. Work closely with the project’s data-acquisition researchers and evaluate simulation quality. The…

Develop AI methods for battery degradation prediction and discovery of electrolyte and membrane materials in UBC’s SOLID Lab. Combine industrial operational data with experiments and simulations through time-series models, physics-informed learning, explainable AI, generative methods and optimisation. The anticipated start is 1 April 2027. Salary is CAD…

Develop methods to detect, quantify and visualize errors and biases in heterogeneous geographic data for digital twins. Research combines interactive visualization, AI-assisted analysis and empirical evaluation, including crowd-sourced observations and remote-sensing data. The EDT-funded doctorate is hosted by the AVIZ team and supervised by Maria…

The UC Irvine School of Medicine and Department of Psychiatry and Human Behavior are filling two tenure-track or tenured faculty positions (Assistant, Associate or Full Professor) in the Noel Drury, M.D. Institute for Translational Depression Discoveries, which spans the School of Medicine, the School of Biological Sciences and the School of Engineering.…

Lead computational analysis and algorithm development in the Xavier Lab and Klarman Cell Observatory to investigate inflammatory and autoimmune disease mechanisms. Integrate single-cell and spatial transcriptomics, chromatin accessibility, proteomics, metabolomics and microbiome data from human tissues and mouse models. Responsibilities include directing…

Investigate protein-based and polymer materials, including artificial spider silk, microbial proteins and plant-based protein production. Other research themes include computational materials databases and data-driven polymer design.

Develop machine-learning and AI methods for medical data and healthcare research in the Medical Data Science Group. The doctoral project combines computational methods with biomedical applications. The preferred review date is 22 November 2026; later applications are also considered.

Develop multimodal artificial-intelligence methods within RIKEN's research programme. The appointment contributes computational methods and frameworks for integrating different forms of scientific data.