ML Research Assistant: Epidemiology and Health AI

Dunhillmedical; Sheffield; Hybrid; GBP 58,000 - 70,000; Part time

Benefits offered by this job

Hybrid working opportunities

Generous pension scheme

Excellent annual leave

Job summary

University of Sheffield is seeking a Research Assistant in Machine Learning for Epidemiology to join a project aiming to develop an AI-driven early warning system for Strep A outbreaks. You will integrate diverse datasets, build and validate models, and provide clear visualisations and descriptive statistics.

The role is part-time with hybrid work provisions and a focus on data governance and ethics. The ideal candidate will hold an undergraduate degree in a quantitative discipline, strong

Qualifications

• An undergraduate degree in a quantitative discipline (data science, statistics, computer science, mathematics, epidemiology or related).
• Demonstrable programming skills in Python with common data science libraries (pandas, scikit-learn, PyTorch/JAX).
• Working knowledge of core machine learning methods (regression, classification, clustering).
• Experience in cleaning, wrangling and preparing structured datasets for analysis.
• Experience with data visualization and version control.

Responsibilities

• Collate, clean and prepare epidemiological datasets from multiple sources.
• Apply and help develop machine learning models, including feature prep and hyperparameter tuning.
• Conduct exploratory data analysis and produce descriptive statistics/visualisations.
• Contribute to model evaluation and validation with appropriate performance metrics.
• Ensure data handling complies with governance and ethics requirements.
• Work proactively with line managers and principal investigators.
• Carry out other duties commensurate with the grade.

Skills

Python programming

Data wrangling

Data visualization

Version control

Descriptive statistics

Written and verbal communication

Education

Undergraduate degree in a quantitative discipline

Tools

Pandas

Scikit-learn

PyTorch

JAX

Job description

University of Sheffield is seeking a Research Assistant in Machine Learning for Epidemiology to join a project aiming to develop an AI-driven early warning system for Strep A outbreaks. You will integrate diverse datasets, build and validate models, and provide clear visualisations and descriptive statistics.

The role is part-time with hybrid work provisions and a focus on data governance and ethics. The ideal candidate will hold an undergraduate degree in a quantitative discipline, strong