Collate, clean and prepare epidemiological datasets from a range of sources, ensuring data quality.
Apply and help develop machine learning models, including feature preparation, model selection, fitting, and hyperparameter tuning.
Conduct exploratory data analysis and produce descriptive statistics and clear visualisations.
Contribute to model evaluation and validation, including selecting appropriate performance metrics demonstrating model generalisability to the real world.
Ensure all activities comply with data protection legislation, research ethics requirements, and information governance procedures for handling sensitive health data.
Work proactively and on own initiative, responding constructively to feedback from the line managers / principal investigators.
Carry out other duties, commensurate with the grade and remit of the post.

A minimum of 38 days annual leave, including bank holiday and closure days (pro rata), with the ability to purchase more.
Flexible working opportunities, including hybrid working for some roles.
Generous pension scheme.
A wide range of discounts and rewards on shopping, eating out and travel.
A variety of staff networks, providing opportunities for social interaction, peer support and personal development (for example, Race Equality, LGBT+, Women's and Parent's networks).
Recognition Awards to reward staff who go above and beyond in their role.
A commitment to your development access to learning and mentoring schemes, integrated with our Academic Career Pathways.
A range of generous family-friendly policies
paid time off for parenting and caring emergencies
access to menopause support in the workplace
paid time off and support for fertility treatment
and more

22 permanent Scientific jobs in Rotherham