Computational Biology & Machine Learning Scientist

JR United Kingdom; Manchester; On-site; GBP 45,000 - 65,000; Full time

Job summary

A cutting-edge biotech organization in Manchester seeks a Computational Biology & Machine Learning Scientist. The role involves developing advanced machine learning models to analyze complex biological data, supporting the mission of decoding the immune system. A strong background in machine learning and statistical modeling is essential, alongside a relevant doctoral degree and experience in biological data analysis.

Qualifications

• PhD or MSc with equivalent experience required.
• 3+ years in academia or biotech applying ML/AI.

Responsibilities

• Design and implement machine learning models for biomedical challenges.
• Customize computational methods for biological data analysis.
• Drive ML-based pipelines for diagnostic or therapeutic design.

Skills

Machine Learning

Statistical Modeling

Data Handling

Visualization

Bioinformatics

Computational Biology

Software Development Best Practices

Python

Education

PhD in Computational Biology, Bioinformatics, Computer Science, Statistics, or related quantitative discipline

Tools

TensorFlow

PyTorch

Job description

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Computational Biology & Machine Learning Scientist, manchester

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Client:

Skills Alliance

Location:

manchester, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

4

Posted:

06.06.2025

Expiry Date:

21.07.2025

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Job Description:

Computational Scientist – Machine Learning & Immunology & Biologics

A cutting-edge biotech organization is seeking highly motivated Computational Scientists to support the mission of decoding and engineering the immune system. The role focuses on developing advanced machine learning and statistical models to analyze complex biological data, particularly immune repertoires and multimodal datasets.

About the Role

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

• Design and implement machine learning models—particularly language models, diffusion models, or graph neural networks—tailored to biomedical challenges.
• Build novel computational methods for interpreting biological sequences and structural data.
• Customize existing tools and develop new ones for integrative analysis and visualization of large-scale systems immunology data.
• Drive ML-based pipelines for diagnostic or therapeutic design.
• Benchmark computational methods and optimize performance across datasets.
• Lead or contribute to collaborative projects spanning academic, clinical, and industry domains.

Required Qualifications

• PhD (or MSc with equivalent experience) in Computational Biology, Bioinformatics, Computer Science, Statistics, Physics, or related quantitative discipline.
• Strong background in machine learning and statistical modeling, with a demonstrated ability to solve complex biological problems.
• Proven track record of scientific productivity (e.g., peer-reviewed publications).
• Hands-on experience in data handling, visualization, and biological data analysis.
• Proficient in Python, familiar with software development best practices.
• Practical experience with TensorFlow and/or PyTorch.

Preferred Qualifications

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