Lead Bioinformatician

Everyone should have access to innovative therapies that represent the promise of lasting cures. At Theolytics we are working to transform patients’ lives, through world leading science, with a great team. Our discovery platforms harness the power of viruses to systematically identify therapies optimised for a chosen patient population, with a focus on oncology (


We are looking for a Lead Bioinformatician to join our multidisciplinary and dynamic team. The successful applicant will be supporting the identification and development of therapeutics at the interface of cancer and virology. The role will include developing strategies to analyse viral diversity; exploring viral evolution and functional genomics; and collaborating across projects to deliver strategic research and development goals.


This position represents an excellent opportunity for someone to drive bioinformatics research in a translational setting, building a team to drive and enable the development of novel therapeutics to clinical application. The role would ideally suit a Senior Bioinformatician looking to develop their career and embrace the challenge of developing Theolytics’ informatics strategy. We are looking for a self-starter with excellent communication skills, who can interact with a diverse group of scientific disciplines and is happy to jump in when required in what will be an exciting work environment.  



  • Perform exploratory analyses to uncover novel insights from viral and cancer genomics datasets.

  • Lead the development of a bioinformatics team and informatics infrastructure to expertly drive data science efforts at Theolytics.

  • Work closely with lab-based scientists to guide NGS experiment design and derive meaningful insights from analyses.

  • Design and implement pipelines to process NGS (Illumina and Oxford Nanopore) datasets.

  • Collate and present findings at internal and external meetings.

  • Cultivate collaborations with external specialists.

  • Contribute to key strategic documents, including reports, presentations and patent applications.

Candidate Profile


  • A PhD or equivalent experience in microbiology/cancer biology/virology and an interest in virus genomics.

  • Several years’ experience in a Bioinformatics role within biotech or a relevant academic setting.

  • Ability and insight to develop a bioinformatics team encompassing systems administration (cloud computing), software and database development, and cutting-edge research bioinformatics.

  • Proven track record in driving research projects to successful completion and experience managing, supervising, or mentoring junior colleagues.

  • Experience processing raw sequencing data with a proven track record of extracting actionable insights from NGS datasets.

  • Ability to communicate effectively within a multidisciplinary environment to drive decision making in NGS projects.

  • Proficient in Python programming and some experience with other programming languages (e.g. R for statistics, JavaScript for web UI or visualisation, C++ for simulation, etc.)

  • Comfortable working in and maintaining a UNIX-like environment.

  • Experience of industry-standard bioinformatics software, including for long- and short-read alignment (e.g. minimap2, bowtie2), for QC (e.g. FastQC, fastp), for manipulation (e.g. samtools, picard tools), and for visualisation (e.g. IGV).

  • Experience with version control software (e.g. Git, Bitbucket).

  • Confident leading bioinformatics projects independently, seeking expertise through external collaboration where needed, to shape bioinformatics strategy at Theolytics.

Desirable - these are a great to have and we would be keen to hear from candidates who have a mixture of any of these.


  • Keen interest in viral population biology, cancer biology and functional genomics.

  • Familiarity with long-read sequencing data (Oxford Nanopore, PacBio). 

  • Experience building and maintaining analysis pipelines (e.g. using SnakeMake).

  • Expertise in best practices for software development.

  • Interest in building user-friendly analysis pipelines and interactive data visualisation tools (e.g. using Shiny).

  • Experience in the design and analysis of RNAseq/scRNAseq experiments.

  • Confident applying biostatistical methods.

  • Experience in the implementation of relational databases (e.g. SQL).

  • Active interest in knowledge sharing at the wet/dry lab interface.

  • Some hands-on experience of cancer biology/virology laboratory methods.

  • Experience in using or managing cloud computing platforms.


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