At a Glance
- Tasks: Transform scientific workflows into scalable AI solutions for life sciences partners.
- Company: Join a pioneering tech firm shaping AI in the life sciences sector.
- Benefits: Enjoy competitive pay, flexible hours, generous leave, and equity donation matching.
- Other info: Dynamic role with opportunities for travel and professional growth.
- Why this job: Make a real impact in life sciences while collaborating with world-class research centres.
- Qualifications: 8+ years in a technical role, preferably in life sciences or scientific computing.
The predicted salary is between 72000 - 88000 £ per year.
In this role you will be the primary technical advisor for life sciences partners to maximize Claude’s impact from discovery to deployment. You will translate scientific workflows into scalable AI solutions and help institutions become AI-native through Claude tools. You’ll design accelerators, capture deployment challenges, and contribute to ecosystem-level improvements with engineering and product teams. This position offers meaningful collaboration with world-class research centers and a path to shape AI adoption in life sciences.
Pay / Benefits
- competitive compensation
- optional equity donation matching
- generous vacation and parental leave
- flexible working hours
- office space for collaboration
Responsibilities
- Serve as the main technical advisor to life sciences partners throughout Claude adoption
- Translate end-to-end scientific workflows into impactful solutions from discovery to deployment
- Drive partners to become AI-native using Claude Code and Claude Science enablements and process evolution
- Design and lead cohort-based accelerators to scale expertise across multiple institutions
- Identify deployment challenges and feed findings back to product, engineering, and research
- Spot patterns across partners to inform ecosystem-level developments (domain data sources, benchmarks, reusable agent skills)
- Create scalable technical content (presentations, demos, tutorials, sample code) to reduce hand-holding
- Travel to partner sites for workshops and deep dives
- Help shape team processes and culture during scale-up
Key requirements
- 8+ years in a technical role with customer-facing exposure
- Experience in life sciences, biomedical research, or scientific computing; genomics/neuroscience/drug discovery experience is a plus
- Experience working with academic or mission-driven scientific organizations
- Familiarity with LLM implementation patterns (prompt/context engineering, evaluation frameworks, agent architectures, retrieval)
- Strong teaching/mentoring skills and ability to help others succeed
- Scrappy, multi-hat mentality with ability to navigate ambiguity and advance the mission
Applied AI Engineer, Beneficial Deployments (Life Sciences) employer: Humanloop
Anthropic is an exceptional employer that prioritises the well-being and growth of its employees while fostering a collaborative and innovative work culture. With a focus on creating reliable AI systems, employees are encouraged to take ownership of their projects and contribute to meaningful advancements in technology. Located in a vibrant office space, the company offers competitive compensation, generous benefits, and flexible working hours, making it an ideal place for those looking to make a significant impact in the field of AI.
