Bactobio

Senior Machine Learning Scientist

Bactobio

full-time

Posted on:

Location Type: Hybrid

Location: London • United Kingdom

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Job Level

Senior

Tech Stack

Python

About the role

  • 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
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
machine learningcomputational biologybioinformaticsstatistical modellingsequence modelsgenomic language modelsproteomic language modelsPythondata sciencepredictive modeling
Soft Skills
collaborationmentoringcommunicationproblem-solvingcuriosityleadershipjudgmentsupporting othersteamworkadaptability