Senior Developer building and evolving ML/AI applications on AWS for Valorem Reply. Collaborating closely with product, architecture, and engineering teams for quality solutions.
About the role
- Senior Machine Learning Scientist at Bactobio developing models to combat antimicrobial resistance through AI and biology integration. Collaborating with scientists to turn insights into actionable predictions for drug discovery.
Responsibilities
- Turn high-level scientific goals into precise, data-driven research questions and methodologies.
- Collaborate closely with lab scientists to design experiments to ensure that our data is robust and useful for meaningful ML.
- Work with bioinformaticians and analytical chemists to shape omics and mass spec data for modelling.
- Lead the development of ML methods to model microbial communities and predict metabolite production and activity, including the use of DNA and protein language models (or closely related sequence/foundation models).
- Build, implement, and refine predictive models that accelerate discovery: guiding cultivation efforts, improving metabolite production, and optimising sample selection across various stages of our pipeline.
- Contribute to our software platform, especially ML-driven data flow, data management, and making models usable by the scientists who rely on them.
- Mentor and support others in the computational team, raising the bar on ML practice while keeping the culture collaborative and curious.
Requirements
- A PhD in machine learning, computational biology, bioinformatics, mathematics, or a related STEM field, or at least four years of ML-focussed industry experience.
- Strong research or industry track record applying ML in biotech or adjacent scientific settings.
- Deep understanding of statistical modelling and ML methods, and good judgement about when to use what.
- Experience designing, training, and fine-tuning sequence models (genomic/proteomic language models, or closely related architectures).
- Advanced proficiency in Python, with substantial experience in modern ML and data science tooling.
- Comfort working with biological data (omics, sequences, experimental metadata) and collaborating with domain experts.
- Proven experience shipping high-quality code in a collaborative environment, including readable, production-ready implementations.
Benefits
- Competitive starting salary
- The chance to be part of a fun, multicultural, kind, ambitious and impact-driven crowd
- Daily access to leaders and mentors in the business
- Brand new, modern labs in Central London with dedicated office space, large balconies, and 360’ views of the London skyline, where we all spend 4 days per week (1 day working from home)
- 25 days holiday + bank holidays
- Paid maternity leave (12 weeks) and paternity/new parent leave (6 weeks)
- Up to 2 months of fully paid sick leave
- Flexible start and finish times within the company’s core hours to fit your preferences
- 4 weeks of fully paid sabbatical leave after 5 years of service
- Diverse team of colleagues (check out our website to meet us)
- Weekly team activities including board games, sports activities, and socials
- Complimentary snacks, fruits, tea, coffee, soft drinks,...
- Access to 1000s of training courses through Udemy, with an allowance for both personal development and work-related training
- Bike2Work scheme
- Employee Assistance Programme offering structured counselling, life and career coaching, legal and financial advice
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