Principal Scientist - Computational Biology

Key Responsibilities

• Partner with scientists to design computational strategies that answer key biological questions.
• Develop and implement bioinformatics pipelines for the analysis of multi-omics datasets.
• Evaluate and introduce emerging analytical methods and technologies where appropriate.
• Analyse RNAseq, proteomics, phospho-proteomics and whole genome sequencing data.
• Integrate pathway databases, network resources and published literature to generate meaningful biological insights.
• Present complex analyses in a clear and impactful way.
• Lead bioinformatics workstreams from conception through to delivery.
• Mentor junior team members.

Requirements

• PhD in Bioinformatics, Computational Biology, Genomics or a related field.
• 4 or more years of post-PhD industry experience.
• Strong programming skills in Python and/or R.
• Proficiency analysing bulk RNA-seq datasets.
• Expertise in statistical analysis of transcriptomics and proteomics data, including differential expression and pathway analysis.
• Experience integrating multi-omics datasets to answer biological questions.
• Strong understanding of molecular biology and drug discovery.
• Excellent communication skills with the ability to collaborate across multidisciplinary research teams.

Qualifications

• PhD in Bioinformatics, Computational Biology, Genomics or a related field.
• 4 or more years of post-PhD industry experience.
• Strong programming skills in Python and/or R.
• Proficiency analysing bulk RNA-seq datasets.
• Expertise in statistical analysis of transcriptomics and proteomics data, including differential expression and pathway analysis.
• Experience integrating multi-omics datasets to answer biological questions.
• Strong understanding of molecular biology and drug discovery.
• Excellent communication skills with the ability to collaborate across multidisciplinary research teams.