Principal Clinical Scientist
Company: Alignerr Agency
- Location: Madrid, Spain
- Work mode: Remote
- Seniority: Director
- Employment type: Contract
- Posted: 7 days ago
- Offer language: English
Job description
Principal Clinical Scientist (AI Training)
About The Role
What if your career-long expertise in clinical trial design and regulatory science could directly influence how AI understands and reasons about clinical evidence? We're looking for a Principal Clinical Scientist to bring senior-level rigor to AI-driven research — ensuring the clinical data powering next-generation AI systems meets the standards expected in real-world regulatory submissions.
This is a fully remote, flexible contract role designed for experienced clinical scientists who want to work at the frontier of AI and biomedical research. No AI background required — just deep clinical expertise and a sharp eye for scientific quality.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Design and review clinical trial protocols used to generate high-quality, regulatory-grade datasets for AI training and evaluation
- Interpret and audit clinical trial results to ensure accuracy, consistency, and alignment with regulatory standards
- Evaluate AI-generated clinical analyses for scientific soundness and regulatory relevance
- Provide expert, structured feedback that helps AI models reason more accurately about clinical trial data, outcomes, and methodology
- Work independently and asynchronously — fully on your own schedule
Who You Are
- Senior-level experience designing clinical trial protocols for regulatory submission (FDA, EMA, or equivalent)
- Deep expertise interpreting clinical data within regulatory frameworks
- Strong foundation in clinical research methodology, biostatistics, or translational science
- Naturally detail-oriented with high standards for scientific accuracy and consistency
- Clear and effective written communicator able to document feedback in structured formats
Nice to Have
- Prior experience with data annotation, data quality review, or AI evaluation workflows
- Background in pharmacology, epidemiology, or outcomes research
- Familiarity with AI tools or clinical decision-support systems
- Experience working across multiple therapeutic areas or trial phases
Why Join Us
- Work directly on frontier AI systems shaping the future of clinical and biomedical research
- Influence how AI understands, evaluates, and reasons about real-world clinical evidence
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, expert-level work
- Collaborate with leading AI research labs and teams pushing the boundaries of medical AI
- Potential for ongoing work and contract extension as new projects launch
