Computational Biology & Machine Learning Scientist

JR United Kingdom; Basingstoke; On-site; GBP 40,000 - 70,000; Full time

Job summary

A leading company in the UK seeks a Computational Biology & Machine Learning Scientist to design and implement advanced machine learning models for biomedical challenges. The ideal candidate will have a PhD or equivalent experience and a robust background in machine learning, statistical modeling, and biological data analysis. This role involves working on collaborative projects to decode and engineer the immune system with innovative techniques.

Qualifications

• Strong background in machine learning and statistical modeling applied to biological data.
• Proven scientific productivity with publications.
• Experience in data visualization and handling biological datasets.

Responsibilities

• Design and implement machine learning models for biomedical challenges.
• Create computational methods for interpreting biological sequences.
• Develop tools for integrative analysis of large-scale systems immunology data.

Skills

Machine Learning

Statistical Modeling

Data Handling

Visualization

Python

Education

PhD in Computational Biology

MSc with equivalent experience

Tools

TensorFlow

PyTorch

Job description

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Computational Biology & Machine Learning Scientist, Basingstoke

Skills Alliance is seeking highly motivated Computational Scientists to support the mission of decoding and engineering the immune system. The role involves developing advanced machine learning and statistical models to analyze complex biological data, including immune repertoires and multimodal datasets.

About the Role

As part of a collaborative Computational Biology team, you will:

• Design and implement machine learning models—such as language models, diffusion models, or graph neural networks—for biomedical challenges.
• Create computational methods for interpreting biological sequences and structural data.
• Develop tools for integrative analysis and visualization of large-scale systems immunology data.
• Drive ML-based pipelines for diagnostic or therapeutic development.
• Benchmark methods and optimize performance across datasets.
• Lead or contribute to collaborative projects across academic, clinical, and industry sectors.

Qualifications

• PhD (or MSc with equivalent experience) in Computational Biology, Bioinformatics, Computer Science, Statistics, Physics, or related field.
• Strong background in machine learning and statistical modeling with experience solving biological problems.
• Proven scientific productivity (e.g., peer-reviewed publications).
• Experience in data handling, visualization, and biological data analysis.
• Proficiency in Python, with familiarity with software development best practices.
• Experience with TensorFlow and/or PyTorch.

Preferred Qualifications

• 3+ years post-graduate experience in academia or biotech/pharma applying ML/AI to biological datasets.
• Experience with immunology, especially TCR/BCR repertoire analysis or protein design & biologics.
• Deep expertise in areas such as:
• Language models for sequence analysis
• Graph ML in biomedical networks
• Experience with GPU computing (cloud or HPC).