At a Glance
- Tasks: Develop evaluation frameworks for AI in clinical operations and global development.
- Company: Join a leading pharma organisation at the forefront of AI innovation.
- Benefits: Two-year postdoctoral appointment with opportunities for hands-on experience and collaboration.
- Other info: Work with diverse teams and cutting-edge AI tools in a dynamic environment.
- Why this job: Make a real impact by shaping how AI is evaluated in clinical settings.
- Qualifications: PhD or equivalent experience in clinical, biomedical, or related fields required.
The predicted salary is between 35000 - 45000 £ per year.
We are deploying generative AI agents across clinical operations and global development workflows: clinical data review, anomaly detection in trial data, protocol Q&A for site teams, Informed Consent Form generation and translation, and protocol element document assembly. Each system needs rigorous evaluation. In specialized clinical contexts, "good" is not a single number. It depends on the user, the regulatory context, the therapeutic area, and the cost profile of errors. We are looking for a postdoctoral researcher to help us develop the evaluation frameworks, rubrics, and quality systems that determine when these AI agents are ready for our scientists, clinical operations specialists, and site teams to rely on.
Key Responsibilities
- Develop evaluation frameworks and rubrics for AI agents operating in clinical operations and global development contexts.
- Define quality dimensions for specialized outputs, e.g. clinical data queries, anomaly detection, protocol Q&A responses, ICF content, regulatory documents, that reflect how clinical-ops users actually judge quality.
- Design and run human evaluation protocols with clinical, regulatory, and site-facing subject matter experts.
- Build benchmark datasets and evaluation pipelines that the broader GenAI organization uses across AI applications.
- Partner with our AI engineering teams to translate evaluation findings into measurable improvement.
- Contribute to the methodology of how a regulated pharma organization evaluates AI in clinical work.
What we're looking for
- Domain expertise: Strong understanding of clinical operations and global development workflows, e.g. clinical data management, monitoring, regulatory documentation, site operations, or related areas.
- Familiarity with how clinical-ops specialists, monitors, regulatory authors, and site teams actually do their work and assess quality.
- PhD or equivalent research experience in a clinical, biomedical, regulatory, biostatistics, or closely related field.
- Enthusiasm for AI agents: Genuine interest in working hands-on with generative AI and agentic systems. Curiosity about how LLMs behave in specialized domains and where they fail. Comfort prototyping with modern AI tooling (LLM APIs, vector databases, evaluation frameworks).
- Aptitude for evaluation systems: Demonstrated ability to develop frameworks, rubrics, and structured assessment protocols. Experience designing evaluations with multiple quality dimensions, expert raters, or non-trivial inter-rater reliability considerations. Strong analytical and writing skills; comfort with ambiguity and unsolved problems.
- Practical skills: Python and the modern ML/data stack. Comfort working across disciplines, e.g. clinical operations, regulatory affairs, AI engineering, data science.
Practical details
- Duration: 2-year postdoctoral appointment.
- Reports to: [TBD].
- Works closely with Generative AI Teams, Scientific Fellow, clinical operations and regulatory subject matter experts across J&J global development.
Post Doctoral Researcher, Evaluation & Standards in Clinical Operations employer: Johnson & Johnson
As a leading innovator in the deployment of generative AI within clinical operations, we offer a dynamic work environment that fosters collaboration and creativity. Our commitment to employee growth is evident through our robust training programmes and opportunities to engage with cutting-edge technology, ensuring that you can make a meaningful impact in the field of clinical research. Located in a vibrant area, our culture promotes inclusivity and encourages a balance between professional development and personal well-being.
StudySmarter Expert Advice🤫
We think this is how you could land Post Doctoral Researcher, Evaluation & Standards in Clinical Operations
✨Tip Number 1
Network like a pro! Reach out to professionals in clinical operations and AI through LinkedIn or industry events. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your evaluation frameworks or any relevant projects. We want to see what you can do, so make it easy for potential employers to understand your expertise.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or mentors. We all know interviews can be nerve-wracking, but the more you practice, the more confident you'll feel when it’s time to shine.
✨Tip Number 4
Apply through our website! We’re always on the lookout for passionate individuals like you. By applying directly, you’ll ensure your application gets the attention it deserves from our hiring team.
We think you need these skills to ace Post Doctoral Researcher, Evaluation & Standards in Clinical Operations
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the role. Highlight your experience in clinical operations and any relevant research you've done. We want to see how your background aligns with our needs!
Show Your Passion for AI:Let us know why you're excited about working with generative AI in clinical contexts. Share any projects or experiences that demonstrate your enthusiasm and curiosity about AI agents and their applications.
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language and avoid jargon unless it's necessary. We appreciate well-structured applications that get straight to the point!
Apply Through Our Website:Don't forget to submit your application through our official website! This helps us keep everything organised and ensures your application gets the attention it deserves.
How to prepare for a job interview at Johnson & Johnson
✨Know Your Stuff
Make sure you brush up on your understanding of clinical operations and global development workflows. Familiarise yourself with how clinical data management, regulatory documentation, and site operations work. This knowledge will help you answer questions confidently and show that you're the right fit for the role.
✨Show Your Passion for AI
Demonstrate your enthusiasm for generative AI and agentic systems during the interview. Share any relevant experiences or projects you've worked on that involved AI. This will not only highlight your interest but also show that you're eager to contribute to the team's goals.
✨Prepare for Evaluation Frameworks
Since the role involves developing evaluation frameworks and rubrics, be ready to discuss your experience in creating structured assessment protocols. Think about examples where you've designed evaluations with multiple quality dimensions and how you approached those challenges.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's approach to AI in clinical operations. This shows your curiosity and engagement with the subject matter. It also gives you a chance to assess if the company aligns with your values and interests.
