Snr Data Scientist, Computational Genomics/DNA Modelling
relationrx· Data Science/Computational Biology
LondonFull-timePosted 3mo ago
About the role
Senior data scientist focused on DNA sequence modelling, statistical machine learning, and functional genomics to support target discovery and mechanism elucidation within Relation’s Rosalind team.
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.
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.
- Bonus experience: Familiarity with single-cell transcriptomics or patient-derived datasets; experience interdisciplinary in biotech/pharma; integrating ML with genomics/single-cell/perturbation datasets; familiarity with 3D genome data (Hi-C, Capture-C).
Skills
Required:DNA sequence modellingVariant effect predictionRegulatory activity modellingSequence-to-function modellingPythonHigh-performance computingCommunicationIndependent project executionCollaboration across interdisciplinary teams
Nice to have:R
Benefits
- Not specified in description
Last updated Jul 15, 2026. Interested? Apply on the company site.
About relationrx
Discovering biology’s relationships, curing disease.
Discovering biology’s relationships, curing disease.
biotechmedicinebiologydiseasegenomicstherapy
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