feed

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.

SpatialAgent is an autonomous LLM-driven agent that spans the full spatial biology research workflow — experimental design, multimodal spatial transcriptomics/scRNA-seq analysis, and hypothesis generation — using 72 specialized tools and 17 guided skill templates. It runs in autonomous or co-pilot mode and matched or outperformed human scientists on benchmark tasks across ~2 million cells from brain, heart, and colitis-model tissue.

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.

Three-year postdoctoral fellowships for scientists with a PhD in a biological discipline proposing to work abroad, well-suited to computational biologists moving into experimental collaborations. Letter of Intent window opens March 12, 2026 and closes May 12, 2026 (9:00 AM ET); full proposals are due September 24, 2026 (9:00 AM ET). Fellowships start between April 2027 and January 2028; funding covers a living allowance plus research/travel allowance (amount varies by host country).

For researchers 2-7 years past PhD who want to establish their own independent research team in any field, on a bottom-up (no pre-set priorities) basis. Funding is up to €1.5 million over 5 years (up to €1M/€2M extra for lab set-up or relocation from a non-associated third country). The next call (ERC-2027-STG) is expected to open around July 2026 with a deadline around mid-October 2026 (exact date TBC on the EU Funding & Tenders Portal).

SPATIA is a multimodal deep learning framework from the Harvard MIMS lab that jointly models cell imagery and gene expression to predict and generate spatial cell phenotypes. It uses cross-attention to fuse morphology with transcriptomics and transformer modules to aggregate niche- and tissue-level context, and can generate cell morphology images conditioned on predicted state transitions via flow matching.

OpenProteo is an open-source Rust library (with Python bindings and a CLI) that reads proprietary mass-spectrometry raw formats from Thermo, Bruker, and Waters instruments and converts them into standard mzML, without requiring vendor SDKs or Windows-only DLLs. It's an umbrella project pairing with sibling crates OpenTimsTDF (Bruker timsTOF) and OpenWRaw (Waters MassLynx).

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.

FLAMES v2.6.0 (Bioconductor 3.23) is a modular, protocol-agnostic R/Bioconductor package for full-length isoform analysis from long-read single-cell and spatial RNA-seq data. It supports droplet-based and combinatorial barcoding single-cell methods as well as spatial transcriptomics workflows, and scales to multi-sample cohort analyses. Key outputs include isoform detection, alternative splicing quantification, and differential splicing analysis integrated with Bioconductor's genomic infrastructure.

fRagmentomics characterizes cell-free DNA fragments overlapping somatic mutations from BAM files, supporting multiple data formats and mutation representation conventions. It is designed for liquid biopsy and cancer genomics applications. New in Bioconductor 3.23.

MetaboAnnotatoR performs feature annotation on LC-MS all-ion fragmentation (AIF) datasets using fragment ion libraries, enabling automated metabolite identification in untargeted metabolomics workflows. New in Bioconductor 3.23.

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.

RFantibody (Nature 2025) is an integrated pipeline for structure-based de novo antibody and nanobody design, combining RFdiffusion (backbone generation), ProteinMPNN (CDR sequence design), and fine-tuned RoseTTAFold2 (structure validation). Cryo-EM confirms atomic accuracy of designed VHHs targeting influenza haemagglutinin and C. difficile toxin B. Free for academic and commercial use.