Machine Learning Research Associate — Plant Genomics & Gene Expression

University of Cambridge; Cambridge; On-site; GBP 34,000 - 48,000; Full time

Job summary

The University of Cambridge invites applications for a Research Associate to join Professor James Locke's group at the Sainsbury Laboratory. The post will develop and apply machine-learning approaches, including DNA foundation models, to study how regulatory DNA sequences influence gene expression dynamics and cell-to-cell variability.

You will build and evaluate computational models linking promoters and regulatory elements to expression, test predictions with quantitative data, and work

Qualifications

• Strong programming skills in Python and/or R.
• Experience applying machine-learning methods to biological data.
• Good understanding of statistical analysis and model evaluation.

Responsibilities

• Develop, adapt and evaluate computational models linking regulatory sequences to gene expression.
• Test models using gene expression measurements and sequencing data.
• Collaborate with experimental researchers to guide tests of regulatory hypotheses.

Skills

Python

R

Machine learning

Statistics

Job description

The University of Cambridge invites applications for a Research Associate to join Professor James Locke's group at the Sainsbury Laboratory. The post will develop and apply machine-learning approaches, including DNA foundation models, to study how regulatory DNA sequences influence gene expression dynamics and cell-to-cell variability.

You will build and evaluate computational models linking promoters and regulatory elements to expression, test predictions with quantitative data, and work