Snabbfakta

    • Cambridge

Ansök senast: 2024-12-03

Bioinformatician (upstream)

Publicerad 2024-10-04

Role Overview:

Cranleigh STEM has partnered with an exciting biotech start-up who are recruiting for a highly skilled Bioinformatician (upstream) to join their Data Team based in Cambridge. In this key position, you will be responsible for optimising sample and data processing while validating bioinformatics pipelines. You’ll work closely with the development and integration of bioinformatics workflows into our existing pipelines, built using Nextflow. Additionally, you will conduct technical analyses to assess data quality and support wet lab process improvements, as well as explore mutational and epigenetic signatures for biomarker identification.


Main Duties & Responsibilities:

  • Assist in developing bioinformatics pipelines for processing omics data (e.g., FASTQ to VCF)
  • Implement testing protocols for the company’s bioinformatics workflows
  • Validate pipelines to suit specific use cases and optimize for high-throughput processing
  • Conduct technical data analysis to evaluate quality and collaborate with the lab team to refine wet lab methods
  • Investigate technical limitations of methodologies and provide recommendations
  • Support R&D projects by contributing bioinformatics expertise
  • Document analysis for design history and future commercialization efforts
  • Respond to ad-hoc data requests from laboratory and clinical teams


Skills & Qualifications:

  • PhD or Master’s in Bioinformatics, Genetics, Mathematics, Statistics, Engineering, Computer Science, or a related field
  • Upstream bioinformatics experience
  • Experience with Nextflow workflow language
  • Expertise in creating and customizing bioinformatics pipelines for different use cases
  • Proficient in scientific programming (Python and/or R)
  • Strong ability to summarize analysis results and communicate actionable insights
  • Critical evaluation of analytical methodologies and results in an R&D setting
  • Familiarity with data management best practices


Desirable Skills:

  • Experience implementing unit tests for bioinformatics pipelines
  • Previous experience analyzing cancer-associated signatures from NGS or methylation data
  • Experience working with clinical trial samples
  • Knowledge in developing diagnostic products
  • Understanding of handling human genomics data under UK GDPR regulations
  • Familiarity with Git and version control systems

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