Our exclusive client is an expanding biopharmaceutical company based in Cambridge. The company is engaged in the discovery and development of human monoclonal antibody therapeutics using novel monoclonal antibody therapeutic platforms
They are looking to recruit an outstanding bioinformatician to join their Bioinformatics team. You will be part of a multidisciplinary team of laboratory scientists, computational biologists, and software developers. Using your computational and biological understanding, you will assist the discovery teams with data analysis and optimal lead candidate selection methods using our novel platform. In addition, you will have a role in the continuing bioinformatic development of the novel platform. Using the large datasets continually being generated by the client, you will develop novel algorithms, analytical tools, and pipelines to incorporate into the software platform. You will have the opportunity to analyse large data sets and influence the development of the companys technology strategy moving forwards.
Run analysis pipelines, and perform data QC
Analyse and visualise large antibody datasets to inform lead candidate selection
Develop and refine NGS analysis pipelines and antibody repertoire analysis tools
Develop in-silico methods for analysing antibody sequence and assay data
Implement tools developed into the novel software package
Present results at internal company meetings
Come up with ideas to test and further develop the companys technology strategy moving forwards
PhD or equivalent degree in immunology, computational biology, bioinformatics, or similar discipline
Hands-on experience of NGS technologies, tools and processing pipelines
Knowledge of immunology with an understanding of B cell biology
Demonstrated ability to develop bioinformatic tools
Proficiency in the use of R, python and bash scripting
Experience in the use of relational databases
Ability to contribute independently and collaboratively and to excel in a fast-paced environment
Strong track-record of scientific achievement
Experience with antibody repertoire sequence analysis, or antibody discovery
Experience with machine learning
Experience with software development using scrum
Proficiency in the use of KNIME
Proficiency in the use of Java
Proficiency in the use of RShiny
If this role sounds like it could be of interest to you, or you would like to find out what else the market has to offer, please contact Matthew Walsh on or email an up to date version of your CV to
If however, you do not feel that this is the right role for you, please forward these details on as we do have a generous referral scheme in place.
Please note, due to the high volume of applications, if you do not receive a response within 48 hours, your application has not been successful on this occasion.
Key Terms: Bioinformatic, bioinformatician, antibody, antibodies, monoclonal, NGS, next-gen sequencing, antibody sequence, assay, immunology, computational biology, bioinformatics, B Cell, biology, R, python, bash, scripting, relational database, repertoire sequence analysis, antibody discovery, machine learning, scrum, software development, KNIME, Java, RShiny, Cambridgeshire, Cambridge, UK
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