Embedded AI Scientist for Biomedical Deployment

Methodfi; Greater London; Hybrid; GBP 60,000 - 85,000; Full time

Job summary

A leading AI research firm is seeking a candidate to embed its Pleiades models with early partners, focusing on understanding workflows and translating challenges into deployable solutions. The ideal applicant will possess strong collaborative and communication skills, deep technical fluency in data science or computational biology, and programming experience in Python or R. This role involves hybrid work arrangements and offers opportunities for substantial personal growth within a dynamic team environment.

Qualifications

• Strong applicants often have depth in some of these and interest in growing into others.
• Collaborative, low-ego, team-oriented mindset balancing scientific rigour with operational pragmatism.
• Comfortable with data science/ML/computational biology end-to-end.

Responsibilities

• Embed with early design partners to understand data and objectives.
• Translate real-world problems into deployable solutions using Pleiades.
• Establish deployment best practices.

Skills

Collaborative mindset

Excellent communication skills

Deep technical fluency

Programming skills (Python, R)

Background in research-to-production transition

Familiarity with compliance and data governance

Comfort with ambiguity

Experience building tools for ML/AI

Prior deployment experience in regulated environments

Job description

A leading AI research firm is seeking a candidate to embed its Pleiades models with early partners, focusing on understanding workflows and translating challenges into deployable solutions. The ideal applicant will possess strong collaborative and communication skills, deep technical fluency in data science or computational biology, and programming experience in Python or R. This role involves hybrid work arrangements and offers opportunities for substantial personal growth within a dynamic team environment.