Senior Computational Biologist

2 weeks ago


Cambridge, Cambridgeshire, United Kingdom Lifelancer Full time
Job Title: Senior Computational Biologist

You will be an experienced Bioinformatician, with roots in maths and statistics. Exposure to machine learning tools and frameworks will be necessary. You'll need to be well-versed in working with NGS data and developing bioinformatics tools for clinical interpretation. This role has a high level of impact, as you will be developing and implementing bioinformatics solutions across the whole product pipeline. You'll need to be a good communicator as you will be collaborating and working closely with multidisciplinary teams.

Key Responsibilities:
  • Developing and implementing novel mathematical models and statistical analyses for variant calling and detection of minimal residual disease
  • Develop machine learning methods for improving probe efficiency and selectivity
  • Providing insights into data that improves assay performance
  • Develop high-quality code
Ideal Candidate:
  • PhD in computational biology/bioinformatics/other related field
  • Post-doc or industry experience post PhD
  • Strong background in maths and statistics
  • Experience working within Oncology
  • Experience processing, analysing and interpreting NGS data
  • Exposure to ML tools and frameworks eg Tensorflow, Pytorch
  • Proficient programming skills (Ideally Python)
  • Familiarity with standard software engineering tools (Jira, Git, CI/CD)
  • Experience using workflow management systems (Nextflow, Snakemake, WDL)
  • Cloud computing experience (Ideally AWS)

Lifelancer is a talent-hiring platform in Life Sciences, Pharma and IT. The platform connects talent with opportunities in pharma, biotech, health sciences, healthtech, data science and IT domains.



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