JOB SUMMARY Iambic Therapeutics is seeking a machine learning scientist to extend Enchant-our multimodal transformer-by incorporating genomics, transcriptomics, proteomics, metabolomics, and other omics signals. Your work will focus on target selection and biomarker discovery. You will create robust data pipelines, curate benchmarking datasets, and develop models that combine multi omics information with existing context in Enchant. An understanding … experimental design and the interactions among diverse molecular modalities is essential. This position is remote, with a preference for candidates in Bristol. KEY RESPONSIBILITIES Identify, prioritize, and acquire multi-omics datasets. Build, maintain, and document data pipelines that ingest, quality control, and harmonize large multi omics datasets from public and proprietary sources. Design schemes for pretraining and finetuning Enchant on … multi-omics data. Define benchmarks for target selection and biomarker tasks; source or assemble reference datasets to measure progress. Apply causal inference principles to propose experiments that disambiguate biological mechanisms and validate model outputs. Write high quality, tested code and deploy models across multi GPU or HPC environments; monitor performance and iterate. Stay current with advances in machine learning and More ❯
To Altos We have an opportunity available for a Data Scientist to work in the field of cells, genomics and related areas. Responsibilities - Generate insights and models from multi-omics datasets (using public and internal data) to understand patterns, trends and relationships within data to inform decision-making and solve problems. Design, develops and programs methods, processes, and systems to … across the company. Preferred Qualifications - Strong and demonstrable experience working in an AWS compute environment is a major advantage. Experience integrating prior knowledge from public databases (e.g., KEGG) into omics data analysis pipelines. The salary range for Cambridge, UK : - Scientist I, Data Science : £64,600 - £87,400 Senior Scientist I, Data Science : £88,000 - £132,000 Exact compensation may vary More ❯
for designing and implementing novel machine learning and deep learning methods applied to somatic genomics. This includes identifying research problems that could be addressed through structured or unstructured, complex omics and imaging data and developing appropriate models and analytical solutions. Responsibilities: Develop and implement novel machine learning and deep learning methods to address key challenges in somatic genomics, ranging from … its impact on drug discovery. Additional Preferred Skills: Experience with AI Vision techniques (e.g., image segmentation, classification). Familiarity with Generative AI (LLMs). Experience with large-scale multi-omics data analysis. Hands-on experience with cloud computing (AWS). Location: Cambridge, England At Quotient Therapeutics, we're not just a team; we're pioneers on a mission to revolutionise More ❯
at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life's most devastating diseases. We leverage single-cell multi-omics directly from patient tissue, functional assays, and machine learning to drive disease understanding-from cause to cure. This year, we embarked on an exciting dual collaboration with GSK to tackle … discovery. Your work will shape our culture, strategic direction, and, most importantly, impact patients' lives. Opportunity This is a unique opportunity for a data scientist to work on multi-omics data to drive transformative insights into drug discovery. As a member of the Cross Indication team, you will contribute to identifying and validating drug targets through advanced data analysis and … integrate diverse datasets. By combining biological insights with advanced data analytics, the team drives target discovery and validation initiative. Your responsibilities Develop and implement computational workflows for analysing multi-omics data. Perform data integration to uncover disease mechanisms and identify actionable targets. Design statistical models for analysing transcriptomics and other omics datasets. Collaborate closely with experimental and machine learning teams More ❯
at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life's most devastating diseases. We leverage single-cell multi-omics directly from patient tissue, functional assays, and machine learning (ML) to drive disease understanding - from cause to cure. This year, we embarked on an exciting dual collaboration with GSK to … discovery. Your work will shape our culture, strategic direction, and, most importantly, impact patients' lives. Opportunity This is a unique opportunity for a data scientist to work on multi-omics and perturbational data to drive transformative insights into drug discovery. As a member of the Single Cell and Spatial Omics team, and embedded within one of the ML research teams … domain expertise to challenge ML models that aim to predict and explain cellular decision-making in disease. Your responsibilities Develop and implement computational workflows for integrating and analysing multi-omics data. Design statistical models for analysing transcriptomics and other omics datasets. Use domain and data insights to design meaningful and challenging evaluation tasks for ML models. Collaborate closely with ML More ❯
rolling out GUI-based bioinformatic tools facilitating experimental design and analyses. Proven ability to communicate complex bioinformatic concepts to stakeholders and multidisciplinary teams. General expertise in analyzing and interpreting omics and other biological data sets using statistical and visualization approaches. Good organizational skills, including time management, ability to set priorities and adhere to deadlines. Strong attention to detail and problem More ❯
and computational scientists across Altos. Influence best practices in areas such as Bayesian optimization, causal inference, building and assessing predictive models, analyzing biological networks, and analysis and visualization of -omics data. Maintain documentation and keep up-to-date as needed. Contribute to software releases (e.g. via GitHub, PyPI, Anaconda, Docker Hub). Who You Are The ideal candidate will be More ❯
techniques - including life science foundation models, generative design, uncertainty-aware decision making, and multi-modal data analysis. Responsibilities Perform data integration, mining, and analytics across chemical, biological, and multi-omics datasets to support target identification, hit discovery, and compound optimisation. Design and develop robust machine learning models. Collaborate with platform engineers to integrate ML models into production-grade pipelines, APIs More ❯
reliability. Why Join Us: Meaningful Impact: Contribute directly to research infrastructure that powers discoveries potentially impacting millions of lives. Innovation & Autonomy: Work at the forefront of AI and multi-omics, with the freedom to propose and implement state-of-the-art infrastructure solutions. Exceptional Team: Collaborate with talented colleagues from diverse backgrounds across ML, bioinformatics, and engineering. Growth Opportunities: Continuous More ❯
genomics. Why Join Us: Meaningful Impact: Contribute directly to research infrastructure that powers discoveries potentially impacting millions of lives. Innovation & Autonomy: Work at the forefront of AI and multi-omics, with the freedom to propose and implement state-of-the-art infrastructure solutions. Exceptional Team: Collaborate with talented colleagues from diverse backgrounds across ML, bioinformatics, and engineering. Growth Opportunities: Continuous More ❯
Bonus Points Experience with causal inference and advanced statistical modelling. Experience with building AI features using LLMs and evaluation frameworks. Exposure to MLOps best practices. Knowledge of microbiome data, omics pipelines, or biomarker analytics. Our Hiring Journey Stage 1: Talent Screening Interview - 30 mins - With Laia, Talent Acquisition Manager A first conversation to learn more about your background, motivations, and More ❯
of data management principles and solutions associated with the creation, storage and provision of access to wide ranging health data including but not limited to medical imaging data, multi-omics datasets, textual health records and social data, as well as a range of commercial-in-confidence information. A5 Academic subject specialism in one or more relevant disciplines within the University More ❯
at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life's most devastating diseases. We leverage single-cell multi-omics directly from patient tissue, functional assays, and machine learning (ML) to drive disease understanding - from cause to cure. This year, we embarked on an exciting dual collaboration with GSK to More ❯
omic data at scale. Specifically this team is responsible for the end-to-end processing of samples, including histology, cell sorting, extraction of genetic material and preparation for downstream omics analysis. The role includes oversight of lab operations, defining processes that enable consistent quality, instilling a collaborative, excellence-focused culture where the status quo is constantly pressure tested. We are … an excellent track record of operating and scaling high-throughput labs 3+ years of experience hiring, leading and developing teams of 10+ scientists Expertise in performing genomics and other omics experiments at scale, using automation equipment Experience defining weekly schedules for complex, multi-project and multi-person lab operations Knowledge of health & safety best practices, enabling a safe working environment More ❯
Cancer Research UK Manchester Institute - Computational Immunologist Job Title: Computational Immunologist Category: Other Closing Date: 31/08/2025 Computational Immunologist Salary in the range of£31,000 - £37,000 (dependent upon experience) Job Ref: MI/25/ More ❯
real clinical and research impact. Role focus - Foundation Models for Biology You will play a pivotal role in designing, implementing, and scaling foundational AI models and infrastructure for multi-omics at massive scale. Your work will directly drive breakthroughs in scientific understanding and contribute to transformative applications in medicine and biology. Implement high-performance ML algorithms optimised for massive-scale … impact. Why Join Us: Meaningful Impact: Contribute directly to research infrastructure that powers discoveries potentially impacting millions of lives. Innovation & Autonomy: Work at the forefront of AI and multi-omics, with the freedom to propose and implement state-of-the-art infrastructure solutions. Exceptional Team: Collaborate with talented colleagues from diverse backgrounds across ML, bioinformatics, and engineering. Growth Opportunities: Continuous More ❯
