pinpoint

Bioinformatics Applied AI Engineer

Bactobio

London, GBR

Full-time

Entry · 2+ years experience

Hybrid

GBP 45000-65000 yearly / year

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Key skills for this role

PythonLLMknowledge graphs

Collaborate daily with wet-lab scientists to turn ambiguous scientific decisions into well-specified tasks with clear success criteria.
Design and build multi-step LLM workflows that query biological data and knowledge graphs and produce recommendations with traceable reasoning.
Build benchmarking infrastructure and curate evaluation datasets.
Keep up with frontier model capabilities, and iterate on models, prompts, tool design, and orchestration.
Contribute to our software platform, especially data architecture, pipelines, and model/workflow deployment.

A Master's or PhD in a quantitative field with a significant ML/AI component, or at least two years of ML/AI-focused industry experience.
Strong understanding of LLMs (including tool use and evaluation), knowledge graphs, and multimodal data.
Comfort working with biological data (omics and experimental metadata) and collaborating with domain experts.
Proficiency in Python, with substantial experience in modern ML and data science tooling.
A research or industry track record applying ML in biotech or adjacent scientific settings.
Experience shipping production code in a shared codebase.

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 paid sabbatical leave after 5 years of service
Diverse team of colleagues (check out our website to meet us)
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