Flow Cytometry & ML Bioinformatics Engineer

Melio Healthcare Ltd.; Greater London; Presencial; GBP 90 000 - 120 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Competitive salary + bonus

Pension and health insurance

Life assurance and income protection

Career development opportunities

Resumo da oferta

IMU Biosciences is seeking a Bioinformatics Software Engineer to drive flow cytometry data engineering, annotation pipelines, and model registry operations for a clinical biomarker discovery platform. You will ensure reproducible, production-grade features and compliant MedDev ML workflows.

In this role you will manage automated cell-type annotation, enforce data integrity, and oversee model artifact registries while leading peer code reviews with ML engineers and biostatisticians.

Qualificações

• Master’s or Ph.D. in Bioinformatics, Statistics, Computational Biology, Computer Science, Bioengineering, or related quantitative field.
• 3+ years of professional experience handling flow cytometry high-throughput data in regulated, academic, or biotech settings.

Responsabilidades

• 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.

Conhecimentos

Python

Git

CI/CD

Nextflow

Docker

ML artifact tracking

Flow cytometry

Cross-validation

Formação académica

Master’s or Ph.D. in Bioinformatics or related field

Ferramentas

NumPy

Pandas

SciPy

scikit-learn

PyTorch

Descrição da oferta de emprego

IMU Biosciences is seeking a Bioinformatics Software Engineer to drive flow cytometry data engineering, annotation pipelines, and model registry operations for a clinical biomarker discovery platform. You will ensure reproducible, production-grade features and compliant MedDev ML workflows.

In this role you will manage automated cell-type annotation, enforce data integrity, and oversee model artifact registries while leading peer code reviews with ML engineers and biostatisticians.