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Data Analyst
2 months ago
We are seeking a highly skilled Data Scientist to join our team at The Learning Experience #398. As a key member of our scientific team, you will play a foundational role in building our platform and working closely with our founders and collaborators to establish standards and practices.
The successful candidate will have a strong background in computer science, bioinformatics, or a related discipline, with experience in working with large-scale genomic or functional genomic datasets. They will be proficient in Python and/or R, with a mastery of integrating and analysing diverse high-dimensional omics data sets relevant for immunology, oncology, neuroscience, or other therapeutically-relevant fields.
Responsibilities- Perform in-depth analysis of human disease datasets, including large-scale omics datasets such as 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 the team in building and maintaining a secure data pipeline.
- Advise on and support activities to functionally validate targets using in silico approaches, such as FGWAS and GWAS.
- Collaborate with the team, including Data Science research groups and external partners in Oxford, Cambridge, and elsewhere.
- Communicate effectively, interpret, summarise, and visualise data for presentation to different audiences.
- Stay up-to-date on new discoveries and changes in methodologies and approaches that might enhance our platform.
- Work closely with the scientific leadership team to help build our platform and team.
- A PhD (or in exceptional cases, a masters level degree) in computer science, bioinformatics, or a related discipline.
- Experience in working with large-scale genomic or functional genomic datasets.
- Proficiency in Python and/or R.
- Mastery in integrating and analysing diverse high-dimensional omics data sets relevant for immunology, oncology, neuroscience, or other therapeutically-relevant fields.
- Experience in building infrastructure for large-scale data analysis and storage.
- An ambition to work with our 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.
- A pre-existing network of external scientific contacts of relevance to our company.
- Evidence of contribution to and influence of the strategic scientific direction of a large group.
