Applied Scientist — AI Studio

## Applied Scientist — AI Studio Apply remote type:
Onsite locations:
Oxford, GBRtime type:
Full time posted on:
Posted Todayjob requisition :
R2600982
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* Job Description:

** We believe in bold ideas, diverse perspectives, and the drive to transform knowledge into impact. Here, your curiosity fuels progress, your voice shapes innovation, and your ambition helps redefine what’s possible within science and learning. We are a culture that obsesses over impact, challenges, and drives what’s next to power infinite possibilities for our customers, colleagues and society at large.
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* About the Role:

** The Applied Scientist serves as the scientific lead within AI Studio engagement pods, partnering with Forward Deployed Engineers to design and deliver solutions for scientific research workflows as part of Wiley’s applied AI professional services practice. This role combines deep domain expertise with applied problem-solving to translate real-world research challenges into AI-enabled solutions that are scientifically rigorous and deployable.

The position requires working directly with customers such as pharmaceutical companies, biotech firms, and materials science organizations to embed AI into evidence-intensive research processes. The Applied Scientist ensures solutions are grounded in authoritative scientific knowledge and meet rigorous standards for accuracy and reliability, while also contributing to early-stage scoping, product development, and long-term customer relationships.
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* Job Responsibilities:

*** Lead the scientific delivery of AI-driven professional services engagements, including:  + Mapping customer research workflows to identify AI opportunities  + Translating scientific problems into technical requirements  + Evaluating AI-generated outputs for scientific accuracy and relevance  + Presenting findings and solutions to senior stakeholders
* Partner closely with Forward Deployed Engineers to bridge scientific and technical domains, ensuring successful solution implementation
* Participate in pre-sales and early scoping discussions to validate scientific feasibility and shape customer engagements before contracts are finalized
* Build and maintain trusted relationships with senior researchers and R&D leaders, identifying opportunities for repeat and expanded business
* Contribute to AI Studio product development by:  + Defining scientific requirements  + Validating product credibility and fitness for use  + Providing domain expertise to support product positioning
* Establish domain authority within the customer base and broader scientific community through ongoing engagement and thought leadership
* Ensure all solutions leverage authoritative data sources, including peer-reviewed research, and adhere to relevant scientific and regulatory standards
* Thrive in sprint-based delivery models with defined outcomes, tight timelines, and direct accountability to customers
** Required Qualifications** :
* Advanced degree in a relevant scientific discipline (PhD preferred)
* Significant post-doctoral or industry research experience (5+ years), ideally in:  + Pharmaceutical or biotech organizations  + Contract research organizations (CROs)  + Materials science or engineering environments
* Demonstrated ability to:  + Evaluate AI-generated outputs for scientific accuracy, grounding, and reliability  + Apply critical thinking to determine fitness of AI solutions for real-world scientific use
* Experience with research workflows in evidence-intensive environments and understanding of how scientific knowledge is generated, validated, and applied
* Strong communication skills, including the ability to:  + Translate between scientific and technical audiences  + Present complex findings to senior stakeholders  + Write clearly for both expert and non-expert audiences
* Experience operating outside traditional academic environments, including:  + Managing ambiguous problems  + Delivering against defined outcomes under time constraints  + Working directly with external stakeholders
* Familiarity with AI tools or applications in a research context (preferred)
* Industry-specific expertise (depending on focus area), such as:  +…