AI Strategy & Transformation Manager developing AI strategies integrating human qualities at ValueNet. Seeking innovations and efficiencies through AI applications while prioritizing human - centered approaches.
About the role
- Consultant in Life Sciences R&D Data & AI leveraging machine learning to solve critical R&D questions. Collaborating with global teams in London or Barcelona for innovative treatments and diagnostics.
Responsibilities
- Take ownership of specific components and deliverables within complex Data & AI projects, ensuring scientific rigor and customer relevance
- Manage the execution and delivery of small‑scale customer engagements, ensuring they meet defined timelines, scope and customer expectations
- Present findings and recommendations to Life Sciences R&D teams with clarity and strong communication
- Guide and coordinate other consultants to ensure timely, high‑quality outputs
- Engage directly with customers to understand their R&D and regulatory requirements, translating them into actionable solution strategies
- Contribute to the development of project methodologies and approaches, leveraging analytical insights and R&D subject‑matter expertise
- Work with Clarivate Consulting leads to scope solutions, estimate effort, and support delivery planning
- Collaborate with global Technology Consulting and Solution Architecture teams to enable large-scale R&D use cases
- Develop white papers, blogs, reference implementations and presentations that showcase Data & AI capabilities internally and externally
- Contribute ideas and solution designs for new accelerators, prototypes and proof‑of‑concepts
- Stay up to date with the evolving AI field and regularly share insights with colleagues across Consulting and Product teams
Requirements
- Bachelor’s degree or equivalent in a Life Sciences discipline
- 5 years of relevant experience, preferably in Life Sciences or Healthcare consulting
- Strong understanding of the Drug Discovery and Development lifecycle, including clinical development programs, key regulatory requirements, safety considerations, and major development milestones
- Demonstrated experience with Generative AI, including LLM architectures, frameworks, prompt engineering and few‑shot learning
- Experience with natural language processing for medical and scientific content analysis, interpretation and generation
- Knowledge/experience with digital healthcare tools design and development
- Familiarity with Life Sciences terminologies and ontologies
- Experience supporting or managing specific workstreams within R&D, regulatory, safety, or clinical analytics projects
- Exposure to designing or validating AI/ML‑based accelerators, prototypes, or research tools
- Experience working with multi‑disciplinary teams involving data engineering, product development, and technical architecture.
Benefits
- Private Medical Insurance or Health Cash plan
- Generous Pension Plan contribution rates
- Income protection insurance
- Life insurance
- Sports Club Subsidy (Company pays 50% of gym membership, or up to £500)
- Emergency Childcare or Adult care cover
- Eyecare vouchers
- From 25 Days Annual Leave + 8 Bank Holidays (option to buy and sell Annual leave)
- A modern culture environment combined with all the financial and stability advantages of working for a large business.
- Active volunteering community, with paid hours of volunteering time.
- Private Health and Life & Disability insurances.
- Tax-free benefits (Ticket Restaurant scheme, kindergarten and transport cards).
- Free Language classes (Catalan, Spanish and English).
- Global and dynamic employee base (more than 20 nationalities).
- 30 working days of vacation.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Location requirements
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