Biological Machine Learning Internship, Bactobio

• Ideal candidates will have deep learning experience, programming skills, and at least a basic understanding of molecular biology or genetics

• We are looking for passionate and driven PhD students who have an industry internship as a funded component of their doctoral program and are interested in exploring life at a dynamic biotechnology start-up
• These are fully immersive, on-site placements at our London office and laboratories and last a minimum of three months
• Reporting To: Neythen Treloar
• In this role, you will explore and apply DNA large language models at Bactobio
• Working with microbiological DNA sequencing data and state-of-the-art foundation models (e.g. , DNABERT, Nucleotide Transformer), you’ll have the freedom to experiment with various datasets, methodologies, and evaluation techniques
• Ultimately, you’ll shape the project’s direction, with opportunities to focus on areas such as model fine-tuning, the development of benchmarking tools and approaches, embedding investigation, and multimodal modelling
• Our previous interns come from a range of programmes, including PIPS, iCASE, and MRC LID

• Screening Call
• On-site Interview

• New lab and office space in central London
• Learning and development opportunities
• Bike2work scheme
• Enhanced Sick Pay
• Weekly team activities including board games, sports activities, and socials on Fridays
• Complimentary snacks, fruits, tea, coffee, soft drinks...
• Flexible start and finish times within the company’s core hours
• Diverse team of colleagues (check out our website to meet us)
• 25 days holiday
• Pension plan

With the highest genetic diversity of any organisms on earth, bacteria hold tremendous potential for novel treatments, gene therapy, and commercial applications. But to this day, under 1% of all bacteria have been cultured in labs for chemical discovery.