Computational Biology Data Scientist (Grade 7)

Computational Biology Data Scientist (Grade 7)

University of Liverpool
Liverpool, United Kingdom

General Description
The University of Liverpool is seeking a highly skilled Computational Biology Data Scientist to join the Computational Biology Facility (CBF) within the Liverpool Shared Research Facilities. This role offers the opportunity to contribute to a broad portfolio of cutting-edge biological and clinical research projects, including work aligned with initiatives such as the Experimental Arthritis Treatment Centre for Children at Alder Hey Children’s Hospital.

The successful candidate will play a central role in analysing complex multi-omics and clinical datasets, developing bespoke computational and statistical solutions, and delivering high-quality bioinformatics support across multidisciplinary research programmes. The position involves close collaboration with clinicians, experimental scientists, and fellow data specialists to interpret findings and generate impactful insights into human health and disease, particularly in paediatric autoimmune conditions.

The post holder will design and implement analytical pipelines, integrate diverse datasets, and contribute to study design, data visualisation, and dissemination of research outcomes through publications. The role also includes opportunities to support training activities, develop teaching materials, and remain at the forefront of computational biology methodologies, including emerging AI and data science approaches.

This is a full-time, fixed-term position for an initial period of two years, with potential for extension. The role follows a hybrid working model, with a minimum on-campus presence requirement. The University fosters a collaborative and inclusive environment that supports professional development, innovation, and knowledge exchange.

Eligibility Criteria

• PhD in bioinformatics, computational biology, systems biology, or a closely related discipline, or equivalent professional experience
• Postdoctoral-level experience or equivalent expertise in computational biology or data science

Required Expertise/Skills

• Strong experience applying statistical, computational, and bioinformatics techniques to biological research questions
• Demonstrated expertise in analysing multi-omics datasets and integrating them with clinical data
• Proficiency in programming and development of analytical pipelines
• Ability to design, implement, and interpret complex data analyses
• Excellent communication, presentation, and teamwork skills
• Experience collaborating within multidisciplinary research environments
• Commitment to reproducible research and best practices in data management
• Interest or experience in emerging methodologies such as AI or generative approaches is desirable

Salary Details
£39,906 – £46,049 per annum (Grade 7)

#J-18808-Ljbffr