About Oxford Biotherapeutics: Oxford BioTherapeutics (OBT) is a biotechnology company developing antibody therapeutics for the treatment of cancer. You will play an integral role in the discovery of novel therapeutics. Our OGAP® discovery platform is based on the world's largest cancer specific membrane protein library, directly measuring plasma membrane protein expression in patient tumours. It is used to identify highly tumour specific antigens for novel first-in class Antibody Drug Conjugate (ADC), Bispecific, T-cell Engager (BITE®) and Chimeric Antigen Receptor (CAR) targets. Our lead asset, OBT076, is an ADC in Phase 1b clinical development. Our clinical and pre-clinical pipeline is balanced between internal programs, focused on ADCs and checkpoint regulators, and externally partnered programs with key innovators in oncology such as Boehringer Ingelheim, Genmab with future collaborators in the pipeline. Purpose of the Role To improve the mass spectrometry-based quantification algorithm used within OBT's OGAP platform for proteins identified across a range of sample types. Roles and Responsibilities: This role will involve: Review of current protein quantification algorithms in use at OBT. Liaising with the Bioinformatics team to identify requirements for improvements and to set expectations. Review of publications related to mass spectrometry-based protein quantification. The selection of the optimal method based on the nature of the data within OGAP and the identified requirements. Design, development of a computational algorithm to implement the method. Working with the Information Systems team to implement the new process alongside the existing ones within OGAP. Full system and performance testing. Subsequent fine-tuning based on feedback and experience gained. Please note the roles and responsibilities for the position include but are not limited to the above. Knowledge, Experience, and Skills: Essential: Degree in either one of the physical sciences, computing or mathematics. Programming experience. Previous experience in development algorithms for modelling scientific data. Strong mathematics skills. Desirable: PhD in one of the physical sciences, computing or mathematics. Experience in handling large scientific quantitative data sets. Experience in understanding mass spectrometry data and its processing. Knowledge of mass spectrometry techniques in proteomics. To thrive in this role, you will need to: Have a passion for data and its application to new scientific discoveries Be enthusiastic about learning new methods Be self-motivated Have an agile approach to your work Benefits Offered: One of our top priorities is to maintain the health and wellbeing of our employees and their families. To achieve this goal, we offer comprehensive benefits. Private health care (Bupa) Health Cash Plan Generous pension scheme with potential employer contribution of up to 10% (based on match contributions) Discretionary Annual bonus scheme Free onsite parking Office snacks Enhanced holiday entitlement above statutory minimum plus public holidays Employee Referral Bonus Program Annual training budget for professional development New hire stock options Team building events and activities Equal Opportunities Statement We are committed to equality of opportunity for all employee and applications from individuals are encouraged regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships.