Senior Computational Scientist

SRG; Cambridge; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

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

Initial 9–12 month contract with potential to become permanent. The candidate will work on computational analyses of assay prototypes, including NGS-based data, and will lead the first implementation of bioinformatics pipelines

Qualifications

• PhD, MSc or equivalent in computational science or Bioinformatics.
• Significant experience in Bioinformatics and programming in R or Python.
• Experience supervising project execution as computational technical lead.
• Proven track record creating algorithms, pipelines, or analytical solutions.
• Hands-on analysis of large-scale clinical/omics data, preferably NGS/genomics.

Responsibilities

• 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 solutions 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.

Skills

Bioinformatics

Programming (R/Python)

Project supervision

Algorithms development

Data analysis

Education

PhD/MSc in computational science or Bioinformatics

Tools

R

Python

Job description

Senior Computational Scientist

Cambridge / Hybrid

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

• 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.