Computational Biology & Machine Learning Scientist

JR United Kingdom; Oxford; On-site; GBP 50,000 - 80,000; Full time

Job summary

A leading biotech organization in the Oxford district is seeking a motivated Computational Scientist specializing in Machine Learning and Immunology. This role involves developing advanced statistical models for complex biological data analysis, particularly in the field of immunology. Candidates should have a PhD and a strong background in ML, with hands-on experience in tools like TensorFlow and Python. This is an exciting opportunity to contribute to pioneering projects at the forefront of biological research.

Qualifications

• PhD or MSc in relevant quantitative discipline.
• 3+ years post-graduate experience in academia or biotech/pharma preferred.
• Strong background in ML/AI applications to biological data.

Responsibilities

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

Skills

Machine Learning

Statistical Modeling

Python

Data Handling

Visualization

Biological Data Analysis

Education

PhD in Computational Biology, Bioinformatics, Computer Science, Statistics, or Physics

MSc (with equivalent experience)

Tools

TensorFlow

PyTorch

Job description

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Computational Biology & Machine Learning Scientist, oxford district

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Client:

Skills Alliance

Location:

oxford district, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

1

Posted:

31.05.2025

Expiry Date:

15.07.2025

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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).