Senior Bioinformatician

You will be an experienced Bioinformatician with roots in maths and statistics. Exposure to machine learning tools will be advantageous but not a deal breaker. Youll need to be well versed 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. Youll 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.

Ideally You Will Have

• 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)
• Exposure to Cloud environments (Ideally AWS)

Please use the below link for job application and quicker response.

Remote Work :

No