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Bioinformatics Software Engineer – Flow Cytometry
Build and maintain regulated machine learning pipelines for flow cytometry at IMU Biosciences. The role covers annotation, model tracking, reproducibility, and compliance for a precision medicine platform.
विवरण
- Run automated cell annotation workflows on large cytometry datasets.
- Produce cell membership files, cell subset ratio tables, and automated reports that flag outliers for quality control.
- Apply locked automated gating ensembles to cross-validation and evaluation data partitions.
- Track and document gating exposure metrics for each patient.
- Set and lock baseline models and numerical stability criteria for flow cytometry feature extraction pipelines.
- Maintain the formal model lifecycle registry, including versioning, freezing, and locking gating ensembles and candidate predictive models.
- Refit shortlisted machine learning models on larger cohorts and freeze final models before blinded clinical evaluations.
- Commit versioned code, pin Conda and Docker environment specifications, and log random seeds and model hyperparameters.
- Act as the primary code reviewer across the computational pipeline.
- Apply controls against data leakage, verify data integrity, and uphold modular coding standards.
- Take part in Independent Method Reviews, traceability audits, and regulatory compliance checks.
- Work with Machine Learning Engineers, Biostatisticians, and Clinical Scientists.
- Report to the Lead Data Scientist.
आवश्यकताएँ
- A master’s degree or Ph.D. in Bioinformatics, Statistics, Computational Biology, Computer Science, Bioengineering, or a related quantitative discipline.
- At least three years of professional experience with high-throughput flow cytometry data in a regulated, academic, or biotech setting.
- Fluency in Python and experience with NumPy, Pandas, SciPy, scikit-learn, and PyTorch.
- Demonstrated use of software engineering practices, including Git, CI/CD, workflow managers such as Nextflow, Docker environment pinning, and ML artifact tracking.
- Familiarity with flow cytometry feature generation and batch-effect harmonisation.
- Familiarity with cross-validation leakage risks in high-dimensional flow cytometry predictive modelling.
- Existing right to work in the UK.
लाभ
- Competitive salary and company bonus scheme.
- Pension.
- Health insurance.
- Life assurance.
- Income protection.
- A fast-paced, collaborative startup environment.
- Opportunities for career development and progression.
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