Senior Machine Learning Scientist
Role details
Job location
Tech stack
Job description
We are looking for a Senior Machine Learning Scientist to help turn biological and experimental data into predictive models., 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. 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., * 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
Do you have experience in Statistical analysis?, Do you have a Doctoral degree?, * 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 & conditions
- 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
About Bactobio
We are a London-based biotechnology startup using breakthrough technologies in synthetic biology, next-generation sequencing and machine learning to cultivate the 99% of previously unculturable microbes. These microbes constitute the biggest bioresource in life, and our exclusive access allows us to discover novel chemicals that can be applied across a variety of markets. We are impact-driven. Our first goal is to solve the growing antimicrobial resistance crisis through novel antibiotics and stabilise global food security through novel natural biodegradable fungicides. If you require alternative methods of application or screening, you must approach the employer directly to request this as Indeed is not responsible for the employer's application process.
