Bioinformatician – Cancer Genomics, Glasgow

Ad Warrior Ltd; Glasgow; On-site; GBP 30,000 - 48,000; Full time

Benefits offered by this job

Competitive salary

40.5 days annual leave including bankH

Defined contribution pension scheme

Free life assurance scheme

Employee Assistance Programme

Interest free season ticket loans

Additional maternity pay for 6 months

Shared parental leave including up to

Cycle to work scheme

Employee discount schemes

On-site secure parking

Job summary

The Rao lab at Cancer Research UK Scotland Institute in Glasgow invites applications for a Bioinformatician position to join an ambitious research group at an early stage. You will analyze and integrate large-scale genomics, transcriptomics and proteomics data and shape the computational strategy.

You will lead data-analysis pipelines, work with experimental researchers, translate findings into testable hypotheses, and contribute to epigenetic regulatory network insights in cancer research.

Qualifications

• PhD in bioinformatics or related field; strong research background.
• Significant experience in academic research environment.

Responsibilities

• Lead computational projects and build robust data-analysis infrastructure for the group.
• Analyze and integrate large-scale genomics, transcriptomics and proteomics datasets.
• Develop new computational approaches and generate mechanistic insights from complex data.
• Collaborate with Dr Rao and experimental researchers to translate findings into testable hypotheses.

Education

PhD in Bioinformatics, Computational Biology, Genomics or related discipline

Job description

The Rao lab at Cancer Research UK Scotland Institute in Glasgow invites applications for a Bioinformatician position to join an ambitious research group at an early stage. You will analyze and integrate large-scale genomics, transcriptomics and proteomics data and shape the computational strategy.

You will lead data-analysis pipelines, work with experimental researchers, translate findings into testable hypotheses, and contribute to epigenetic regulatory network insights in cancer research.