Genomics Researcher

3 days ago


Cambridge, Cambridgeshire, United Kingdom The Learning Experience #398 Full time
About Us

The Learning Experience #398 is a pioneering startup based in the UK that applies deep learning methods to antibody repertoire data to discover new drugs. We are a close-knit team of innovators passionate about advancing our understanding of immunology and contributing to the development of life-changing treatments.

We are committed to fostering a collaborative and inclusive work environment where talented individuals can thrive and grow. As a key member of our team, you will have the opportunity to work on groundbreaking projects, develop your skills, and contribute to the growth of our company.

Job Summary:

We are seeking a highly experienced Machine Learning Analyst for Immunology to join our team at The Learning Experience #398. As a key member of our scientific team, you will work closely with our founders and collaborators to build our core platform. You will be responsible for performing analysis of human disease datasets, developing computational models to stratify patient groups, and supporting team members to build and maintain a secure data pipeline.

This is an excellent opportunity to work on cutting-edge projects, collaborate with experts in the field, and contribute to the development of our technology platform.

Responsibilities:

  • Perform analysis of large-scale omics datasets including antibody/B cell receptor sequencing, RNAseq, and single-cell sequencing.
  • Develop computational models to stratify patient groups and enable data-driven target discovery.
  • Support team members to build and maintain a secure data pipeline.
  • Advise on and support activities to functionally validate targets using in silico approaches.
  • Collaborate with the team, including Data Science research groups and external partners.
  • Communicate efficiently and interpret, summarise, and visualise data for presentation to different audiences.

Requirements:

  • A PhD (or exceptional cases, a masters-level degree) in Computer Science, Bioinformatics, or a related discipline.
  • Experience 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 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 Alchemab.
  • Evidence of contribution to and influence of the strategic scientific direction of a large group.

What We Offer:

  • Competitive salary: £80,000 - £110,000 per annum.
  • Opportunity to work on cutting-edge projects.
  • Collaborative and dynamic work environment.
  • Professional development opportunities.


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