Overview
Research Assistant / Associate (Ecology) at The University of Sheffield. Salary information provided by the university; base pay range announced by the university. Fixed-term, full-time position funded by a Wellcome Trust Collaborative Award in Science, with collaboration across Manchester, Sheffield, Liverpool and Dundee.
Responsibilities
* For Research Associate (Grade 7): take responsibility for effective decision-making in support of research, develop research plans, and manage day-to-day research tasks.
* Use data analysis and visualization to understand prospective biomarkers and identify relationships between them.
* Identify the most consistent, non-redundant, and relevant features for model construction.
* Select and apply appropriate techniques for predictive model development and validation.
* Develop reproducible analyses, curate code on repositories, and ensure data are securely stored and backed up.
* Prepare material for presentations and present findings at meetings and conferences.
* Draft publications and submit to refereed journals; prepare internal and sponsor reports.
* Coordinate with postdoctoral researchers at other sites and organise regular collaborative meetings.
* Supervise PhD, undergraduate and PGT students as agreed; advise on data analysis techniques.
* Be an active team member, support junior colleagues, and promote a collegial working environment.
* Develop contacts and collaborations within the School and wider research community; contribute to bids for future grants.
* Carry out other duties commensurate with the grade and remit of the post.
* For Research Assistant (Grade 6): take responsibility for effective decision-making in support of research, develop research plans with support from the PI, and manage day-to-day tasks.
* Use data analysis and visualization to understand prospective biomarkers and identify relationships between them.
* Identify the most consistent, non-redundant, and relevant features for model construction.
* Select and apply appropriate techniques for predictive model development and validation.
* Develop reproducible analyses, curate code on repositories, and ensure data are securely stored and backed up.
* Prepare material for presentations and present findings at meetings and conferences.
* Contribute towards drafting publications and submit to refereed journals.
* Contribute to writing of research and progress reports, and other reporting obligations.
* Coordinate with postdoctoral researchers at other sites and organise regular collaborative meetings.
* Support supervision of UG/PGT students as agreed and advise on data analysis techniques.
* Be an active team member, support junior colleagues, and promote a collegial working environment.
* Develop contacts and collaborations within the School and wider research community; contribute to writing bids for future grants.
* Carry out other duties commensurate with the grade and remit of the post.
Qualifications
Research Associate (Grade 7) essentials: PhD in a quantitative biology discipline, statistics or machine learning; proven track record in statistical modelling or machine learning addressing predictive questions; proficiency in R or Python for statistical methods or ML; strong communication skills; experience working in a collaborative team; excellent data management and documentation skills; ability to analyse and solve problems with long-term implications; ability to manage resources and plan work; flexible with prioritising workloads.
Research Assistant (Grade 6) essentials: BSc or MSc in a quantitative biology discipline, statistics or machine learning; experience with statistical modelling or ML for predictive questions; proficiency in R or Python; effective communication and data analysis abilities; collaborative experience and good data management.
Other information: The post is full-time, fixed-term (available immediately to 31 January 2027). Salary scales vary by grade. Work arrangement and reporting lines are described in the original advert. Closing date: 22/09/2025. If you require adjustments for the recruitment process, contact bioscienceshradmin@sheffield.ac.uk.
Our commitment
We are a Disability Confident Employer and strive to create an inclusive environment that recognises diverse abilities, backgrounds and beliefs. For more information about the university and benefits, see the official pages listed in the original job description.
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