Senior Genomic ML Scientist: DNA Sequence Modeling

Meeveem Limited; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Job summary

Relation in London is seeking a senior data scientist to work on DNA sequence modelling, statistical machine learning, and functional genomics in support of target discovery and mechanism elucidation. You will develop and evaluate models that connect genetic variation and regulatory DNA sequence to downstream molecular phenotypes and disease biology.

Embedded in the Rosalind team, you will integrate sequence-derived representations with transcriptomic and epigenomic data, partner with

Qualifications

• PhD in computational biology, machine learning, statistics, genomics, bioinformatics, or a related quantitative discipline.
• Post-PhD experience, ideally including time in an industry, biotech, or pharmaceutical environment.
• Experience with DNA language models, genomic foundation models, or transformer-based sequence models.
• Understanding of statistical machine learning and probabilistic modelling, with experience selecting and evaluating appropriate modelling approaches for complex biological datasets.
• Knowledge of statistical genetics methods (e.g fine-mapping, colocalisation, or variant to gene approaches).
• High proficiency in Python (preferred) and R, with experience working in high-performance computing environments.
• Ability to operate independently, driving projects from concept through delivery.

Responsibilities

• Develop and implement machine learning models for DNA sequence, regulatory elements, and genetic variation in disease-relevant contexts.
• Build, evaluate and benchmark models for sequence-to-function tasks such as variant effect prediction, regulatory activity prediction, and the interpretation of non-coding disease signals.
• Integrate sequence-derived representations with transcriptomic, epigenomic, and perturbational datasets to uncover disease mechanisms and support target prioritisation.
• Partner closely with experimental and machine learning researchers to validate hypotheses, interpret results, and guide downstream studies.
• Communicate findings clearly to internal stakeholders, including presenting methods, results, and recommendations.
• Contribute to publications, scientific communications, and project documentation, supporting scientific excellence and external visibility.

Skills

Python

R

Machine learning

Data analysis

Scientific communication

Education

PhD in computational biology

Tools

TensorFlow

PyTorch

Job description

Relation in London is seeking a senior data scientist to work on DNA sequence modelling, statistical machine learning, and functional genomics in support of target discovery and mechanism elucidation. You will develop and evaluate models that connect genetic variation and regulatory DNA sequence to downstream molecular phenotypes and disease biology.

Embedded in the Rosalind team, you will integrate sequence-derived representations with transcriptomic and epigenomic data, partner with