Group Lead
Platform Development

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 Group Lead of Platform Development to join our team. The successful applicant will drive the identification and development of therapeutics at the interface of cancer and virology. To fully realise the potential of our discovery platforms we combine expertise from diverse areas including virology, cancer biology, molecular biology and bioinformatics; we’re looking for a candidate with the ability to span multiple disciplines and collaborate across matrixed teams and projects.The candidate must be able to prioritise and manage multiple research activities and possess a broad range of technical expertise and knowledge in cancer biology / virology, and next-generation sequencing with a good understanding of bioinformatics.  


This position represents an excellent opportunity for someone looking to take leadership responsibility to drive research in a translational setting, building a team of scientists and bioinformaticians to enable the development of novel therapeutics to clinical application. The role will include developing and executing on strategies to: analyse viral diversity; explore viral evolution and functional genomics; deconvolute therapeutic mechanisms (preclinically, and for translation to the clinic setting); and collaborate across projects to deliver strategic research and development goals. 


  • Develop Theolytics discovery platform  enabling the next generation of therapies harnessing viruses to combat disease; 

  • Introduction and execution of new pipeline projects and innovative platform approaches;

  • Prioritisation of workloads and coordination of scientific work streams and processes;

  • Build, lead and develop a team of multidisciplinary scientists;

  • Establish and maintain collaborative relationships with external parties;

  • Evaluate and implement state-of-the-art short and long read sequencing; 

  • Collate and present research findings at both internal and external meetings; and

  • Contribute to a range of key strategic documents including: reports and presentations, patent applications, and regulatory filings.

Candidate Profile

Required skills and experience include:

  • A PhD in Cancer Biology, Virology, Genetics, Genetic Engineering  or similar discipline, with relative track record in quality postdoctoral research or industry experience;

  • A track record in managing projects and supervising or collaborating closely with bioinformaticians and lab based scientists;

  • Planning, troubleshooting & hands on execution of omics experiments: construction of libraries for short-read and long-read sequencing;

  • Ability to communicate effectively within a multidisciplinary environment to drive decision making in NGS and bioinformatics projects;

  • Initiative, and a willingness and propensity to take on responsibility, and the ability to lead and motivate others; 

  • Evidence of impactful research experience as demonstrated by high-quality publications, patents and/or presentations at national/international conferences; and

  • Strong written and verbal communication and presentation skills suitable for a diverse target audience.


Advantageous skills, experience and attributes include:

  • Pharmaceutical and/or biotech industry experience;

  • High motivation for, and commitment to, research on anticancer therapies and drug discovery;

  • Experience of cancer biology or virology methods (e.g. cell culture and molecular biology techniques including genetic editing systems);

  • Insight to develop a bioinformatics team encompassing systems administration (cloud computing), pipeline and database development, and cutting-edge research bioinformatics;

  • Knowledge of good practice in bioinformatics (e.g. version control, reproducibility,  data management), R and/or Python programming skills and hands-on experience analysing NGS datasets;

  • Track record of upholding health and safety regulations in a laboratory environment; and

  • A collaborative attitude with a flair for problem-solving.


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