--- title: 'Bioinformatics Software Engineer at IMU Biosciences' canonical: 'https://feeny.ai/job/bioinformatics-software-engineer-imu-biosciences-london-bxv2q1xdne99' type: 'job' last_seen: '2026-10-13' --- # Bioinformatics Software Engineer at IMU Biosciences - **Company:** IMU Biosciences - **Location:** London, United Kingdom - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-10-12 - **Last confirmed live:** 2026-10-13 - **Apply:** https://jobs.ashbyhq.com/imubiosciences/14fc5e92-e2af-4fe6-9ef2-c09e8305b6a8 ## Job description ## About IMU Biosciences IMU Biosciences has developed proprietary platform technologies that generate and translate vast system-level immune data into actionable insights and tools to drive the development of precision medicines across a variety of diseases. IMU leverages advanced immune profiling with proprietary AI and machine learning analytics to uncover novel clinical immune signatures. IMU continues to establish partnerships with leading pharma and biotech companies to advance disease diagnosis, optimise product selection, and improve patient stratification and monitoring - while also building its own pipeline of innovative products. ## About The Role We are seeking a Bioinformatics Software Engineer to drive the flow cytometry data engineering infrastructure, annotation pipelines, model registry operations, and code governance for an advanced clinical biomarker discovery platform operating under machine learning industry best practices and Medical Device Machine Learning (MedDev ML) standards. In this role, you will be responsible for translating high-dimensional flow cytometry data into reproducible, production-grade features compliant with industry best practices and MedDev ML framework requirements. Your key deliverables will include frozen, reproducible feature pipelines and locked model registry artifacts. You will oversee automated cell-type annotation, manage model artifact registries, enforce data integrity, trace compliance, and handle leakage controls across machine learning partitions while leading peer code reviews. Core Responsibilities - Flow Cytometry Data Engineering & Annotation Pipelines: Execute automated cell annotation workflows on large-scale cytometry datasets; generate cell membership files, cell subset ratio tables, and automated outlier quality-control (QC) reports. Apply locked automated gating ensembles across cross-validation and evaluation partitions, tracking and recording per-patient gating exposure metrics. Establish and lock baseline models and numerical stability criteria for flow cytometry feature extraction pipelines. - Model Registry & Governance: Manage the formal model lifecycle registry—versioning, freezing, and locking gating ensembles and candidate predictive models in adherence with industry best practices and MedDev ML regulatory frameworks. Refit shortlisted machine learning models on expanded cohorts and execute final model freezing prior to blinded clinical evaluations. Ensure full reproducibility by committing versioned code, pinning environment specifications (Conda/Docker), and logging all random seeds and model hyperparameters. - Code Quality, Review & Data Integrity: Serve as a primary code reviewer across the computational pipeline, enforcing strict data leakage controls, data integrity checks, and modular coding standards. Participate in Independent Method Reviews (IMRs), traceability audits, and regulatory compliance verification under industry best practices and MedDev ML guidelines while interfacing closely with Machine Learning Engineers, Bio-statisticians, and Clinical Scientists. ## Team and Ways of Working Embedded in a multidisciplinary team of 4 (ML Engineers, Biostatisticians, and Clinical Scientists) reporting directly to the Lead Data Scientist. Qualification Requirements - Master’s or Ph.D. in Bioinformatics, Statistics, Computational Biology, Computer Science, Bioengineering, or a related quantitative field. - 3+ years of professional experience handling flow cytometry high-throughput data in regulated, academic, or biotech settings. Technical Must-Haves (Essential Skills) - Programming Mastery: Fluent in Python (NumPy, Pandas, SciPy, scikit-learn, PyTorch). - Software Engineering & Version Control: Proven experience with software engineering best practices: Git version control, CI/CD, workflow managers (Nextflow), environment pinning (Docker), and ML artifact tracking. - Cytometry Knowledge: Familiarity with flow cytometry feature generation and batch-effect harmonisation. - Familiarity with cross-validation leakage traps in high-dimensional flow cytometry predictive modeling. Nice-to-Haves (Desirable Skills) - Experience working with clinical trial datasets, industry best practices, and MedDev ML regulations. - Experience in transplant immunology, oncology, or hematologic malignancies. ## Key Competencies Strong collaboration and communication skills, including documenting computational methods for regulatory audits and effectively communicating technical workflows to clinical scientists and cross-functional teams. Why Join Us? - Competitive salary and company bonus scheme - Pension, health insurance, life assurance, and income protection - Fast-paced, collaborative startup culture - Strong opportunities for career development and progression ## About IMU Biosciences ## Company Overview - **One-liner**: IMU Biosciences is building the world’s largest high-definition immune dataset to power precision medicine across immuno-oncology, transplantation, and beyond. - **Entity Type**: Private (Series A – $14.6M raised in Jan 2024) - **Headquarters**: London, United Kingdom - **Founded**: 2019 - **Founders**: Thomas Hayday PhD (Co-founder & Chief Research Officer), Adam Laing PhD (Co-founder, President & CSO), Mario Cantero MBA (Co-founder & COO) ## Core Business - Primary industry: Biotechnology Research / Precision Medicine / Immune Profiling - Target customers: Clinical research groups, pharma, biotech, and diagnostics companies (B2B) - Mission: To transform our understanding of the immune system with HD (High Definition) Immunology, enabling immune-driven precision medicine for diagnosing, monitoring, and treating disease. ## Products & Services - **The IMU Platform**: A massively scalable, high-definition multi-omic immune profiling platform that measures over 100 million data points from a single 2ml blood sample, resolving 2,500 discrete immune cell subsets in real time using proprietary AI/ML analytics. Delivers actionable immune insights at clinical scale. - **Programmes in Immuno-Oncology**: Predictive signatures of response and adverse events to checkpoint inhibition. - **Programme in Hematopoietic Stem Cell Transplantation (HSCT)**: First-in-class predictive screening tool for graft efficacy. - **Programme in Solid Organ Transplantation (SOT)**: Tools to predict graft rejection. - **Partnership Services**: Works with partners across the spectrum of immune health and disease to decode disease mechanisms and improve drug discovery. ## Market Standing - **Valuation/Market Cap**: Not publicly available (private company) - **Key Metric**: Total funding of $14.625M (Seed + Series A) – Series A ($14.6M) led by Molten Ventures and COREangels in Jan 2024. - **Notable Investors/Partners**: Molten Ventures, COREangels; strategic partnerships with pharma, biotech, and diagnostics companies. - **Growth Signals**: Headcount grew +11.6% YoY (33 employees as of mid-2026); building the world’s largest population-level immune dataset with 25,000+ deeply characterised samples; expanding into new therapeutic areas and geographies (presence in Spain, US, Sweden). ## Competitive Advantages - Unmatched resolution and scale: 2,500 immune subsets and 100M+ data points per sample – far beyond traditional low-parameter flow cytometry. - Proprietary real-time AI/ML engine that integrates single-cell proteomics with transcriptomics. - Automated, standardised, and reproducible at clinical scale, enabling deployment across hundreds of thousands of samples. - Largest population-level immune dataset, creating a powerful data moat for discovery and AI model training. ## Strategic Focus - Scale the immune dataset to hundreds of thousands of samples, becoming the universal standard for immune measurement. - Progress multiple programmes toward the clinic in immuno-oncology, HSCT, SOT, and beyond. - Deepen partnerships with pharma and biotech to translate immune insights into clinical action and drug development. - Continue to hire top talent in immunology, computational biology, data science, and engineering to accelerate platform development. ## Why Work Here - Culture: A team of leading immunologists, computational biologists, data scientists, engineers, and company builders driven to translate cutting-edge science into real-world patient impact. - Work model: Hybrid (London HQ), with roles listed as “Hybrid Full-time”. - Notable perks: Opportunity to work on the world’s largest immune dataset, cutting-edge AI/ML, and directly impact patient outcomes. - Engineering culture: Emphasis on building scalable data platforms, real-time AI analytics, and high-throughput lab automation. - Open roles (as of mid-2026): Data Platform Engineer, Senior Software Engineer (Semantics) – applications via [jobs.ashbyhq.com/imubiosciences](https://jobs.ashbyhq.com/imubiosciences). ## Sources 1. [imubiosciences.com](https://imubiosciences.com/) – Company overview, science, programmes, mission 2. [imubiosciences.com/about-us](https://www.imubiosciences.com/about-us/) – Leadership, team, founding story 3. [imubiosciences.com/our-science](https://imubiosciences.com/our-science/) – Platform details, dataset scale, AI analytics 4. [imubiosciences.com/careers](https://imubiosciences.com/careers) – Careers page, open roles, culture 5. [linkedin.com/company/imubiosciences](https://uk.linkedin.com/company/imubiosciences) – Funding, headcount growth, employee breakdown, investors ## Other roles at IMU Biosciences - [Communications and Marketing Manager](https://feeny.ai/job/communications-and-marketing-manager-imu-biosciences-london-99z41w1anh3y) — London, United Kingdom