Research Associate

This job is with Autolus Therapeutics, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

Role Summary 

We are looking for a motivated Research Associate level scientist to join a multidisciplinary group of researchers within the Binder Discovery Group. This role will focus generation and characterisation of new antibody-based proteins targeting a variety of cancer antigens, TME factors and cell engineering targets to develop and improve CAR T cell therapy.

Successful candidates will need creativity, curiosity and a strong scientific rationale to develop and assess novel antibodies and cell targeting entities as well as help drive projects towards the clinic. A strong background of lab-based research showing independence as well as a solid understanding of immune-oncology therapeutic strategies will be a significant advantage.

This work will be performed in close collaboration with the wider Autolus R&D teams and successful applicants will work within a wider context of translational and cell manufacturing divisions. Rapid translation to clinical testing is a key motivation of the company. This is a unique opportunity to work at the forefront of immunotherapy in rapidly moving and truly multi-disciplinary field. 

Key Responsibilities 

• Mammalian cell culture techniques including aseptic work with multiple different cell lines and culture types.
• Molecular biology techniques including PCR, cloning, DNA analysis, modelling of cloning using appropriate software (snapgene etc).
• Characterisation of antibody and CAR T cell performance including;
  • Protein analyses techniques; Purification, ELISA, Biacore SPR, SEC chromatography, DSF etc.
  • Cell analysis techniques; Cell culture, flow cytometry, Incucyte, cytokine assays, cytotoxicity assays. 
• Clear and concise documentation of laboratory findings in electronic lab notebook.
• Plan and execute experiments with conflicting timelines.
• Interpret complex data sets using statistics packages and present conclusions concisely including in presentations to R&D teams and VP/CSO.
• Any other duties as required following consultation with the post holder.

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