I am recruiting for a brand new startup based in the UK that is working to apply deep learning methods to antibody repertoire data to discover new drugs. We are looking for a computational person with AIRR-seq experience to work on our core platform and do data analysis. Job description follows. Please reach out to me directly if you are interested: uri [at] alchemab.com
74 The Company Alchemab Therapeutics is an exciting, big ambition, fast-paced therapeutics newco. The company brings together cutting-edge technologies including antibody repertoire profiling and deep learning and world-leading expert founders and management team. Alchemab aims to deliver a pipeline of targets and therapeutic candidates over the next 18 months. Beyond this, Alchemab aims to be a transformational large and small molecule therapeutics company with a broad pipeline of internal and partnered novel targets & candidates. The company is currently based in London, but with research activity ongoing in Oxford and Cambridge. The Role The Data Scientist will work alongside the scientific team and will have a foundational role in building Alchemab’s platform. They will work closely with Alchemab’s founders and collaborators to build core components of the end-to-end data pipeline, establishing standards and practices. The Data Scientist will be involved in patient stratification and management, analysis and visualisation of large scale omics data. They will work within a virtual team to support target identification. As the company grows, the Data Scientist will support the scientific leadership team to build, further coordinate and establish Alchemab’s technology platform & team. The Data Scientist will report to the Chief Technology Officer (CTO). Responsibilities Perform analysis of human disease datasets, for example, large-scale omics datasets including antibody/B cell receptor sequencing, RNAseq and single cell sequencing Develop computational models to stratify patient groups, evaluate antibody repertoires and enable data-driven target discovery Support team to build and maintain a secure data pipeline Advise on and support activities to functionally validate targets using in silico approaches (e.g., FGWAS, GWAS) Work collaboratively with the team including Data Science research groups and external partners in Oxford, Cambridge, and elsewhere Communicate efficiently, interpret, summarise and visualise data for presentation to different audiences Keep current on new discoveries and changes in methodologies and approaches that might enhance Alchemab’s platform Work closely with the scientific leadership team to help build Alchemab’s platform and team Experience & Requirements A PhD (or in exceptional cases, a masters level degree) in computer science, bioinformatics or related discipline or similar Experience at working with large-scale genomic or functional genomic datasets Proficient with Python and/or R Mastery in integrating and analysing diverse high-dimensional omics data sets relevant for immunology, oncology, neuroscience, or others therapeutically-relevant fields Experience in building infrastructure for large scale data analysis and storage An ambition to work with the Alchemab team to build a transformative company A team player who proactively and directly communicates and collaborates with other team members Expertise in working with AIRR-seq data 5+ years of industry experience Pre-existing network of external scientific contacts of relevance to Alchemab Evidence of contribution to and influence of the strategic scientific direction of a large group
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74 The Company Alchemab Therapeutics is an exciting, big ambition, fast-paced therapeutics newco. The company brings together cutting-edge technologies including antibody repertoire profiling and deep learning and world-leading expert founders and management team. Alchemab aims to deliver a pipeline of targets and therapeutic candidates over the next 18 months. Beyond this, Alchemab aims to be a transformational large and small molecule therapeutics company with a broad pipeline of internal and partnered novel targets & candidates. The company is currently based in London, but with research activity ongoing in Oxford and Cambridge. The Role The Data Scientist will work alongside the scientific team and will have a foundational role in building Alchemab’s platform. They will work closely with Alchemab’s founders and collaborators to build core components of the end-to-end data pipeline, establishing standards and practices. The Data Scientist will be involved in patient stratification and management, analysis and visualisation of large scale omics data. They will work within a virtual team to support target identification. As the company grows, the Data Scientist will support the scientific leadership team to build, further coordinate and establish Alchemab’s technology platform & team. The Data Scientist will report to the Chief Technology Officer (CTO). Responsibilities Perform analysis of human disease datasets, for example, large-scale omics datasets including antibody/B cell receptor sequencing, RNAseq and single cell sequencing Develop computational models to stratify patient groups, evaluate antibody repertoires and enable data-driven target discovery Support team to build and maintain a secure data pipeline Advise on and support activities to functionally validate targets using in silico approaches (e.g., FGWAS, GWAS) Work collaboratively with the team including Data Science research groups and external partners in Oxford, Cambridge, and elsewhere Communicate efficiently, interpret, summarise and visualise data for presentation to different audiences Keep current on new discoveries and changes in methodologies and approaches that might enhance Alchemab’s platform Work closely with the scientific leadership team to help build Alchemab’s platform and team Experience & Requirements A PhD (or in exceptional cases, a masters level degree) in computer science, bioinformatics or related discipline or similar Experience at working with large-scale genomic or functional genomic datasets Proficient with Python and/or R Mastery in integrating and analysing diverse high-dimensional omics data sets relevant for immunology, oncology, neuroscience, or others therapeutically-relevant fields Experience in building infrastructure for large scale data analysis and storage An ambition to work with the Alchemab team to build a transformative company A team player who proactively and directly communicates and collaborates with other team members Expertise in working with AIRR-seq data 5+ years of industry experience Pre-existing network of external scientific contacts of relevance to Alchemab Evidence of contribution to and influence of the strategic scientific direction of a large group
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