For a more detailed and up-to-date description, please visit: https://www.immunocore.com/careers/jobs/desc/5121670002
MAIN PURPOSE OF JOB
To provide focused bioinformatics expertise to support the analysis and data management of proteomics-based data. This individual will develop tools to assist the proteomics department with the analysis of large immunopeptidomic datasets. In addition, the individual will work closely with the software development team to aid the development of the mass spectrometry database and associated tools which permit integration with transcriptomics/genomics data sources. The Proteomics Bioinformatician will be a point of communication for access to proteomics data and bespoke analytics for the wider Research team.
KEY RESPONSIBILITIES
- Work with the software development team to build a database of HLA peptides based on in house mass spectrometry data.
- Develop tools/apps to help the Proteomics department (and other departments across the organization) interrogate the data present in the HLA peptide database (currently being developed) and any other data generated by mass spectrometry.
- Test and develop tools to allow for the analysis of large Proteomics/Immunopeptidomics datasets
- Benchmark new software (both commercial and open source) for the analysis of proteomics data
- Develop and implement tools to perform quality control analysis of proteomics and mass spectrometry data and enable
Essential
- Strong proficiency with Python, Linux OS and shell scripting bash
- Familiarity with cloud infrastructures, particularly Amazon Web Services
- Awareness of pipelining systems, such as Luigi, Nextflow, Airflow, Seven bridges
- Theoretical and practical experience with the analysis of Proteomics data
- Skilled in the application of advanced techniques for statistical analysis and data interrogation and interpretation, such as dimensionality reduction algorithms
- Familiarity with variety of publicly available functional annotation tools (GO, KEGG, COG), clustering analysis, protein-protein interaction analysis, pathway analysis, proteome and genome databases.
- Awareness of machine learning based techniques
- Excellent communication skills, oral and written, to explain complex bioinformatic analysis to non-experts
- Understanding of molecular biology, cell biology, immunology or related discipline.
- Significant experience of independent research in academic or industrial setting, or transferable skills gained from professional experience
- Proposed and driven changes in working practices that have improved efficiency, supported teams through adoption and change.
- Presented detailed scientific findings and papers to internal and external audiences
- Recorded results in a concise and timely way, and in compliance with agreed standards
- Mentored and coached less experienced colleagues in scientific practices and theory
Desirable
- Hands on experience with software for the analysis of mass spectrometry data, such as but not limited to PEAKS, Proteome Discoverer, MaxQuant , Skyline, ProteinPilot
- Led a project small team, formally or informally, including project management
- May have experience of developing databases, using SQL or similar, and pairing with a user-friendly interface
- May have experience of building next generation sequencing (NGS) analytical pipelines
- Practical experience in implementing machine learning workflows
