Senior Bioinformatics Scientist - NGS & Genomics (Hybrid)

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

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