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CZ Biohub Chicago is hiring a computational biologist (spatiotemporal multi-omics focus) to build the analytical foundation for a spatiotemporal multi-omics technology platform, developing data workflows and visualization tools that integrate proteomics, metabolomics, and imaging mass spec data with ML/transfer-learning approaches. Requires a PhD in bioinformatics, computer science, statistics, computational biology, or a related field.

Part of CZ Biohub's Data team, this role designs data representations and tokenization strategies for genomics data (bulk/single-cell sequencing, functional genomics, CRISPR screens) to train biological foundation models. The scientist works across experimental, computational, and AI teams with broad autonomy.

A companion role to the Genomics data scientist position, this CZ Biohub Data team role designs data representations and tokenization strategies specifically for imaging data (microscopy, spatial) to enable novel biological foundation model architectures, coordinating across experimental, data engineering, and AI research teams.

Tenure-track Junior Chair / Assistant Professor position to build an independent research program applying artificial intelligence to drug discovery within a translational liver disease institute. The role combines wet-lab-adjacent translational research with computational method development for identifying and optimizing drug candidates.

The McCarroll Lab at the Broad Institute seeks a computational scientist to develop and optimize analysis methods for single-cell RNA-seq, ATAC-seq, and multiome datasets studying genetic and neurobiological factors in brain disorders. The role involves building analytical tools, creating data visualizations, and developing optimal workflows for high-data-volume experiments in close collaboration with scientists and software engineers across the Broad and Harvard Medical School. Salary $88,000–$124,000; Cambridge, MA (Hybrid); posted June 23, 2026.

The Sabeti Lab (Harvard/Broad collaboration) seeks a research scientist to develop PCR and CRISPR-based diagnostic assays for point-of-care deployment in West Africa, targeting infectious disease detection including viral diagnostics and nucleic acid amplification. The role involves both assay development and travel for technology implementation in the field. Salary $88,000–$124,000; Cambridge, MA; posted June 26, 2026.

Prof. Gioele La Manno's Laboratory of Brain Development and Biological Data Science at EPFL offers two PhD tracks: developing AI systems combining foundation models and knowledge graphs for molecular atlas interpretation, or applying spatial multi-omics and metabolic intervention to study lipid dysregulation in neural tube defects. Both are fully funded 4-year positions within the EDCB doctoral program.

The Broad Institute's Gerstner Center for Cancer Diagnostics is hiring a Computational Associate II to implement, optimise, and apply bioinformatics workflows for liquid biopsy assays detecting circulating tumour DNA, with a focus on cancer detection and monitoring algorithm development. The role involves collaborating with laboratory staff on experiment design, presenting findings, and contributing to manuscript preparation. Requires a Bachelor's in Bioinformatics, Computational Biology, Computer Science, or equivalent plus 2+ years' experience (or Master's), with proficiency in R or Python and Unix/Linux. Salary: $58,000–$80,667; posted 29 May 2026.

Lead image analysis pipelines for the Optical Pooled Screening (OPS) program within the CELLxSTATE initiative, integrating fluorescent microscopy with multi-omics data to decode cellular decision-making using AI. The role is based in San Francisco, CA (Hybrid ~3 days/week) and requires PhD-level Python-based image analysis experience, knowledge of OME-Zarr/AnnData formats, and an open-science commitment.

Apply computational and statistical methods to large-scale single-cell and spatial transcriptomics datasets to develop clinically meaningful insights and diagnostic biomarkers as 10x Genomics builds out its clinical diagnostics division. Requires a PhD in bioinformatics or computational biology, 5+ years post-PhD industry experience, and deep expertise in single-cell NGS data analysis; based in Pleasanton, CA.

Genentech's AI Biology & Translation (AIBT) group is seeking a Senior or Principal Machine Learning Scientist in South San Francisco, CA to apply advanced machine learning to perturbation biology data for drug discovery and translational research. The position sits within Genentech's R&D division and targets candidates with strong ML expertise applied to biological systems. Genentech is a member of the Roche Group with over $14.7B invested in R&D annually.

The LTS4 Laboratory at EPFL is recruiting a postdoc within the SATURNA multi-partner research initiative, focused on decoding RNA dynamics and disease mechanisms through AI innovation combined with context-aware biology. The role involves developing high-quality research programs, mentoring junior researchers, and collaborating with SATURNA industry and academic partners. A PhD in computational biology, AI, computer science, electrical engineering, physics, or applied mathematics is required; start date is Fall 2026.

Two postdoctoral positions in Prof. Charlotte Bunne's Artificial Intelligence in Molecular Medicine (AIMM) Lab at EPFL, spanning the School of Computer and Communication Sciences, School of Life Sciences, and EPFL AI Center. The research agenda covers biological foundation model architecture development—novel pretraining objectives, tokenisation, scalable architectures—multimodal learning across diverse biological data types, and agentic interfaces for drug discovery. PhD in machine learning, computer science, or computational biology plus large-scale AI development experience and a solid biological background are required; start Fall 2026.

10x Genomics is building a clinical diagnostics division and seeks a senior computational scientist to translate single-cell and spatial transcriptomics into clinically actionable biomarkers and diagnostics. The role requires implementing and optimizing ML and statistical algorithms on some of the largest single-cell biomedical datasets, developing scalable bioinformatics pipelines, and distilling complex biological findings into clinical insights. Requires a PhD in bioinformatics or computational biology with a minimum of 5 years of post-PhD industry experience and deep expertise in single-cell NGS.

Postdoctoral position in the CHI Lab supervised by Prof. David Clifton (Chair of Clinical Machine Learning, Oxford) to develop machine learning approaches for large-scale clinical datasets including physiological time-series, blood tests, medications, and diagnoses. The role involves creating analytical protocols, publishing peer-reviewed articles, and leading team members. Requires a PhD in AI, signal processing, or related field with strong Python/MATLAB programming and a solid publication record.

Three-year fixed-term research assistant position at the Human Technopole (Milan) to develop and optimize advanced proteomics workflows including single-cell, spatial, plasma, and clinical proteomics using mass spectrometry platforms. The role requires a PhD in biology/chemistry/biochemistry and at least 5 years of bottom-up proteomics experience, with proficiency in tools such as MaxQuant, DIA-NN, FragPipe, and Spectronaut. Background in machine learning applied to proteomics data analysis is valued.

Postdoctoral position in Prof. Matthias Mann's Department of Proteomics and Signal Transduction in Munich, focused on integrative analysis of large-scale proteomics, lipidomics, glycomics, and clinical datasets for Parkinson's disease research within an international consortium. The role involves developing machine learning methods for biomarker discovery and patient stratification, and building reproducible bioinformatics pipelines. Requires a PhD in bioinformatics, computational biology, or biostatistics and proficiency in Python.

Senior scientist role at 10x Genomics (Pleasanton, CA) to translate leading single-cell and spatial transcriptomics assay technologies into clinical diagnostics applications. Responsibilities include implementing computational and statistical methods on large-scale single-cell/spatial datasets, designing and validating biomarkers, and building reproducible bioinformatics pipelines across hundreds to thousands of samples. Requires a PhD in bioinformatics or computational biology plus a minimum of 5 years of post-PhD industry experience.

The Scherzer Lab at Yale School of Medicine seeks a Postdoctoral Associate to build AI-driven digital twins of Parkinson's disease patients by integrating genomics, transcriptomics, single-cell spatial multi-omics, biosensor data, and electronic health records. The role involves developing deep learning models across the genome-to-cell-to-patient spectrum and leading high-impact publications toward therapeutic discovery. Requires a PhD in computational biology, bioinformatics, or computer science, strong Python skills, an ML framework background, and a first-author publication record. Closing date: 1 July 2026.

Interdisciplinary postdoc in the Clinical Genomics team led by Dr. André Kahles at the Biomedical Informatics Lab, ETH Zurich, developing innovative diagnostic technologies based on long-read sequencing. Requires a strong background in sequence bioinformatics, algorithms, and data structures within a team bridging clinical genomics and computational method development. Position offers the opportunity to publish in leading genomics and bioinformatics venues.