Computational Immunologist

Alchemab is a brand new startup based in the UK, applying deep learning methods to antibody repertoire data for drug discovery. We are seeking a computational expert with AIRR-seq experience to build our core platform and perform data analysis.

This position involves working closely with the scientific team to establish standards and practices for our end-to-end data pipeline. The successful candidate will be involved in patient stratification, large-scale omics data analysis and visualisation, as well as target identification within a virtual team.

Responsibilities:

• Perform in-depth analysis of human disease datasets, including antibody/B cell receptor sequencing, RNAseq, and single-cell sequencing.
• Develop predictive models for stratifying patient groups, evaluating antibody repertoires, and facilitating data-driven target discovery.
• Support the team in building and maintaining a secure data infrastructure.
• Advise on and assist in validating targets using in silico approaches (e.g., FGWAS, GWAS).
• Collaborate with the Data Science research group and external partners in Oxford, Cambridge, and elsewhere.
• Effectively communicate, interpret, summarise, and visualise data for diverse audiences.
• Stay current on emerging discoveries and methodological advancements to enhance our platform.

We offer a highly competitive salary range of £60,000 - £100,000 per annum, depending on experience.

• A PhD (or exceptional masters-level degree) in Computer Science, Bioinformatics, or a related field.
• Experience working with large-scale genomic or functional genomic datasets.
• Proficiency in Python and/or R programming languages.
• Strong expertise in integrating and analysing high-dimensional omics data relevant to immunology and therapeutics.
• Background in building infrastructure for large-scale data analysis and storage.
• A passion for collaborating with the Alchemab team to drive transformative change.
• Excellent communication and teamwork skills.
• Expertise in working with AIRR-seq data.
• A minimum of 5 years' industry experience.
• A pre-existing network of external scientific contacts relevant to Alchemab's goals.
• Evidence of strategic scientific direction contributions within a large group.