Oxford BioMedica is a pioneer of gene and cell therapy and our work is helping to deliver life changing treatments.
Gene and cell therapy is the treatment of disease by the delivery of therapeutic DNA into a patient’s cells, providing long term and potentially curative treatments for a wide range of diseases. With the potential to transform medicine, the sector holds significant promise with the first commercial products now launched and others rapidly approaching the market.
Our recent successes are driving significant growth. As such, we are looking to recruit a Bioinformatician to drive the development of proteomics work streams, within Oxford BioMedica’s Research Department. The department is involved in the design, development, and production of lentiviral vectors for external and internal programs. The position will support the proteomics team who will be responsible for the development of research-level technologies and aid in the transition to Process R&D and QC analytics groups. The position will work closely with the research groups working on understanding cell and viral/vector biology.
We are seeking a highly motivated individual to take the lead in:
Bioinformatics support for proteomics pipelines
Analysis of cellular pathways using quantitation methods (both label and label free techniques)
Omics data analysis and integration incorporating proteomics, metabolomics and transcriptomics
Development and implementation of pipelines for protein quantitation and identification
Support the development of targeted quantitative assays to further research programmes and transition into QC
Development of novel proteomics approaches to address key research questions
Integration of omics data from metabolomics, transcriptomics and proteomics
Assist in the transfer of methods into QC analytics
Post-doctoral or Industry experience and PhD in a relevant Science subject
Expertise in analysis of MS-MS datasets using Spectronaut, Maxquant, Skyline or equivalent software
Knowledge of tools used for gene ontology and pathways analysis
Knowledge of clustering methods for analysis of differential expression
Expertise in setup/deployment and administration of linux-based systems, including cloud-based systems
Awareness of the importance of data backup
Integration of ‘omics’ datasets
Construction of bioinformatics pipelines for reproducible data analysis
Advise/assist wet lab scientists in appropriate statistically powered experimental design and data analysis
Data visualisation and experience in presentation of data to a non-bioinformatician audience
Expertise in R, Python, Bash & Perl.
Knowledge of Illumina and Nanopore sequencing technologies and associated data analysis techniques, including use of appropriate programs for QC, alignment and differential expression analysis. Filtering and alignment of specific reads based on bam tags
Experience of de novo assembly methods and analysis of WGS and targeted sequencing approaches
Familiarity with tools used for CRISPR assay design and analysis of pooled CRISPR screens
Experience with communicating and interaction with third party clients/collaborators/partners
knowledge of virology/vectorology of viral vectors for gene therapy
An understanding of GMP / GCP requirements
Good aptitude for creative thinking and problem solving
Direct line management experience and the ability to drive multiple activities