Senior Bioinformatics Scientist

SRG; Cambridge; On-site; GBP 55,000 - 75,000; Full time

Job summary

SRG in Cambridge is seeking a Senior Computational Scientist / Bioinformatician to join its clinical cancer genomics team. The role focuses on developing bioinformatic algorithms and pipelines and prototyping data analysis solutions for early R&D in cancer diagnostics.

You will lead computational projects, apply sequencing data analyses, and contribute to product ideas with hands-on coding in R or Python.

Qualifications

• PhD or MSc in computational biology, bioinformatics, or an equivalent experience.
• Significant, proven experience in bioinformatics.
• Proficiency in R or Python for scientific programming.
• Experience supervising project execution as computational technical lead.
• Experience analyzing large-scale clinical/omics or drug data; preference for NGS/genomics data.

Responsibilities

• Develop bioinformatic algorithms and pipelines for cancer genomics.
• Prototype data analysis solutions for early R&D in diagnostic tools.
• Lead first implementation of bioinformatics pipelines for product investigation.

Skills

Bioinformatics

Scientific programming

Project leadership

Algorithms/pipelines

Large-scale omics data

Education

PhD/MSc in computational biology/bioinformatics

Job description

SRG are recruiting for a Senior Computational Scientist / Bioinformatician to join a clinical cancer genomics company who are developing innovative diagnostic tools. Based in Cambridge, they are seeking an experienced Computational Scientist to develop bioinformatic algorithms and pipelines and prototype data analysis solutions for the early R&D phase. This will initially be contract position of 9-12 months with the potential to become a permanent position.

Key Responsibilities

As the Senior Computational Scientist, you will be supporting the development of pioneering new cancer diagnostic approaches. Key duties will include:

• Contribute to the development of novel methodologies and algorithms.
• Perform computational analysis from new and custom assay prototypes (e.g., NGS-based assays).
• Provide innovative in-silico solution to investigate or interpret existing and novel data, using internal or external data sources.

Provide first implementation of Bioinformatics pipeline to aid initial product investigation.

Required

• A PhD, MSc or similar qualification in computational science / Bioinformatics or relevant equivalent experience.
• Significant, proven experience in Bioinformatics.Proficiency with scientific programming (e.g., R or Python)
• Experience in supervising project execution for the creation of products/algorithms as computational technical lead
• Proven track record in creating algorithms, pipelines, or custom analytical solutions
• Hands on experience with analysis and interpretation of large scale clinical, biological/omics or drug data sets, with a preference for NGS/genomic/transcriptomics data.