Senior Machine Learning Scientist
full-time•London
About this role
Senior Machine Learning Scientist
Department: Data Science
Employment Type: Permanent - Full Time
Location: London
Reporting To: Head of Data Science
Description
We are looking for a Senior Machine Learning Scientist to help turn biological and experimental data into predictive models.
Company
Bactobio is a London biotech startup. We work to solve the antimicrobial resistance crisis across healthcare and agriculture by producing the next generation of market-leading antimicrobials. Since inception in 2020, Bactobio has built a deeptech platform that combines AI, synthetic biology, and multiomics to routinely discover new antimicrobial classes from nature. Our antimicrobial platform is fully operational, and we now successfully target the worst diseases and build portfolios of new, safe, and effective antimicrobial classes that bypass resistance that we then move towards commercialisation.
Bactobio is a London biotech startup. We work to solve the antimicrobial resistance crisis across healthcare and agriculture by producing the next generation of market-leading antimicrobials. Since inception in 2020, Bactobio has built a deeptech platform that combines AI, synthetic biology, and multiomics to routinely discover new antimicrobial classes from nature. Our antimicrobial platform is fully operational, and we now successfully target the worst diseases and build portfolios of new, safe, and effective antimicrobial classes that bypass resistance that we then move towards commercialisation.
Our culture is built around impact, empowerment, and collaboration. We attract incredible scientists from world-leading institutions, mix them with operational experts, and provide guidance through industry leaders acting as mentors. We strongly believe that diversity combined with open and inclusive conversations lead to better solutions. As a result, we have created a collaborative work environment, where ambitious people enjoy working together to make the world greener and safer.
Role
This is a senior, high-impact role at the heart of our discovery engine. The models that you build will shape what we test next to help turn biological and experimental data into predictive models. You’ll work across bioinformatics, wet lab science, and software to make machine learning a practical driver of scientific progress.
This is a senior, high-impact role at the heart of our discovery engine. The models that you build will shape what we test next to help turn biological and experimental data into predictive models. You’ll work across bioinformatics, wet lab science, and software to make machine learning a practical driver of scientific progress.
You’ll thrive here if you’re passionate about the intersection of AI and biology, you’re motivated to push boundaries, and you want your work to be tightly connected to real experiments, real decisions, and real outcomes. You won’t just be a cog in the machine. Rather, you’ll be a creative technical voice with meaningful ownership.
This is an applied research role that ships real code. We explore new ML ideas and approaches with the goal of turning insight into something that runs, gets used, and moves our platform forward.
Team
You’ll be joining a vibrant, tight-knit, and highly collaborative team of about fifty people. We sit and work together and take genuine interest in one another's work. Day-to-day, you’ll collaborate with wet-lab and automation scientists, other data scientists, bioinformaticians, and software engineers, with plenty of exposure to the broader company journey too.
You’ll be joining a vibrant, tight-knit, and highly collaborative team of about fifty people. We sit and work together and take genuine interest in one another's work. Day-to-day, you’ll collaborate with wet-lab and automation scientists, other data scientists, bioinformaticians, and software engineers, with plenty of exposure to the broader company journey too.
Everyone who writes code at Bactobio contributes regularly to the same shared codebase. We care about well-designed data models, best practices with sensible implementations, and building a tech stack that’s productive, maintainable, and genuinely enjoyable to work in.
Key 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.
Skills, Knowledge and Expertise
- 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
Other facts
Tech stack
Machine Learning,Computational Biology,Bioinformatics,Statistical Modelling,Python,Data Science,Collaboration,Predictive Modelling,Experimental Design,Omics Data,Mentoring,Software Development,Deep Learning,Data Management,Biological Data,Research
About Bactobio
Bactobio is a London-based biotechnology company that uses breakthroughs in genomics, machine learning and bioengineering to culture the 99% of microbes that have previously been unculturable.
Our exclusive access to nature’s greatest bioresource allows us to unlock novel chemistries that have evolved to be effective, specific and biodegradable.
Our first targets are to discover novel antibiotics against the worst bacterial infections and help make plant protection sustainable.
Team size: 11-50 employees
Website: http://bacto.bio
LinkedIn: Visit
Industry: Biotechnology Research
Founding Year: 2020
What you'll do
- The Senior Machine Learning Scientist will turn high-level scientific goals into precise, data-driven research questions and methodologies. They will collaborate closely with lab scientists and lead the development of ML methods to model microbial communities and predict metabolite production.
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Frequently Asked Questions
What does a Senior Machine Learning Scientist do at Bactobio?
As a Senior Machine Learning Scientist at Bactobio, you will: the Senior Machine Learning Scientist will turn high-level scientific goals into precise, data-driven research questions and methodologies. They will collaborate closely with lab scientists and lead the development of ML methods to model microbial communities and predict metabolite production..
Why join Bactobio as a Senior Machine Learning Scientist?
Bactobio is a leading Biotechnology Research company.
Is the Senior Machine Learning Scientist position at Bactobio remote?
The Senior Machine Learning Scientist position at Bactobio is based in London, United Kingdom. Contact the company through Clera for specific work arrangement details.
How do I apply for the Senior Machine Learning Scientist position at Bactobio?
You can apply for the Senior Machine Learning Scientist position at Bactobio directly through Clera. Click the "Apply Now" button above to start your application. Clera's AI-powered platform will help match your profile with this opportunity and guide you through the application process. You can also learn more about Bactobio on their website.