Applied Scientist — AI Studio in Oxford

Applied Scientist — AI Studio in Oxford

Oxford Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Wiley Edge

At a Glance

  • Tasks: Lead AI-driven projects, translating scientific challenges into innovative solutions.
  • Company: Join a pioneering company transforming knowledge into impactful discoveries.
  • Benefits: Competitive salary, flexible work hours, and opportunities for professional growth.
  • Other info: Dynamic workplace promoting continuous learning and career development.
  • Why this job: Make a real difference in science and learning with cutting-edge AI technology.
  • Qualifications: Advanced degree in science and experience in research or industry.

The predicted salary is between 60000 - 80000 £ per year.

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.

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.

  • 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 (Ph D 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

  • Life sciences (e. g., pharmacology, clinical research, regulatory science) and understanding of regulatory standards
  • Chemistry, materials science, or engineering, with experience in experimental or quantitative research

We power infinite possibilities.

For more than 200 years, we’ve transformed knowledge into discoveries that shape the world.

Today, our global team of innovators, creators, and experts is driving what’s next in science, education, and publishing—creating impact that reaches everywhere.

We’re not just observers of progress.

We’re the ones accelerating scientific breakthroughs, advancing learning, and sparking innovation that redefines entire fields and improves lives.

Here, your talent matters.

Your ideas have room to grow.

And your work creates breakthroughs that can change everything.

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 tasupport@wiley. com for assistance.

We are proud that our workplace promotes continual learning and internal mobility.

Our values support courageous teammates, needle movers, and learning champions all while striving to support the health and well‑being of all employees.

We offer meeting‑free Friday afternoons allowing more time for heads‑down work and professional development, and through a robust body of employee programming we facilitate a wide range of opportunities to foster community, learn, and grow.

We are committed to fair, transparent pay, and we strive to provide competitive compensation in addition to a comprehensive benefits package.

  • Salary Range: 53,000 GBP to 75,867 GBP #LI-JG1
  • #J-18808-Ljbffr

Applied Scientist — AI Studio in Oxford employer: Wiley Edge

Wiley Edge is an exceptional employer that fosters a collaborative and innovative work culture, where you can lead cutting-edge AI projects in the vibrant tech hub of [Location]. With a strong commitment to employee growth, we offer continuous learning opportunities and the chance to work alongside industry experts, making a meaningful impact in the pharmaceutical and biotech sectors. Join us to be part of a forward-thinking team that values your contributions and supports your professional journey.

Wiley Edge

Contact Details:

Wiley Edge Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Applied Scientist — AI Studio in Oxford

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We think you need these skills to ace Applied Scientist — AI Studio in Oxford

Scientific Expertise
AI Tools Familiarity
Problem-Solving Skills
Research Workflow Evaluation
Communication Skills
Stakeholder Engagement
Critical Thinking

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Wiley Edge. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Wiley Edge

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Wiley Edge!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.