Applied Scientist — AI Studio

Overview

The Applied Scientist serves as the scientific lead within AI Studio engagement pods, partnering with Forward Deployed Engineers to design and deliver AI-enabled solutions for scientific research workflows. The role combines deep domain expertise with applied problem‑solving to translate real‑world research challenges into rigorous, deployable AI solutions.

• Lead the scientific delivery of AI‑driven professional services engagements.
• Map customer research workflows to identify AI opportunities.
• Translate scientific problems into technical requirements.
• Evaluate AI‑generated outputs for scientific accuracy and relevance.
• Present findings and solutions to senior stakeholders.
• Collaborate closely with Forward Deployed Engineers to bridge scientific and technical domains.
• Participate in pre‑sales and early scoping discussions to validate scientific feasibility.
• Build and maintain trusted relationships with senior researchers and R&D leaders.
• Contribute to AI Studio product development by defining scientific requirements and validating product credibility.
• Ensure all solutions leverage authoritative data sources and adhere to scientific and regulatory standards.
• Thrive in sprint‑based delivery models with defined outcomes and tight timelines.

• Advanced degree in a relevant scientific discipline (PhD preferred).
• Significant post‑doctoral or industry research experience (5+ years), ideally in pharmaceutical/biotech, CROs, or materials science/engineering environments.
• Demonstrated ability to evaluate AI‑generated outputs for scientific accuracy, grounding, and reliability.
• Experience with research workflows in evidence‑intensive environments and understanding of how scientific knowledge is generated, validated, and applied.
• Strong communication skills: translating between scientific and technical audiences, presenting complex findings to senior stakeholders, and writing clearly for expert and non‑expert audiences.
• Experience operating outside traditional academic environments, including managing ambiguous problems and delivering against defined outcomes under time constraints.
• Familiarity with AI tools or applications in a research context (preferred).
• Industry‑specific expertise such as life sciences (pharmacology, clinical research, regulatory science) or chemistry/materials science/engineering in experimental or quantitative research.

Wiley is an equal opportunity/affirmative action employer. We evaluate all qualified applicants and treat all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, protected veteran status, genetic information, or based on any individual’s status in any group or class protected by applicable federal, state or local laws. Wiley is also committed to providing reasonable accommodation to applicants and employees with disabilities.

Applicants who require accommodation to participate in the job application process may contact  for assistance.