We are looking for AI Data Specialists to support the improvement of AI-generated content in Finnish . Job Type: Freelance Location: Work from home Work Schedule: Part-time - 10+ hours per week. Flexible - work whenever you want.
Principal Clinical Scientist
Job description
Principal Clinical Scientist (AI Training)
About the Role
What if your expertise in clinical trial design and regulatory-grade data interpretation could directly shape how AI reasons about biomedical evidence — influencing systems used by researchers and clinicians worldwide?
We're looking for a Principal Clinical Scientist to bring senior-level rigor to AI-driven research workflows. You'll work with cutting-edge AI teams to ensure clinical data used in training and evaluation meets the standards expected in real-world regulatory submissions.
This is a fully remote, flexible contract role built for experienced clinical scientists who want to do meaningful work — on their own schedule.
- 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, regulator-ready datasets for AI training
- Interpret and audit clinical trial results for accuracy, consistency, and regulatory relevance
- Evaluate AI-generated clinical analyses for scientific soundness and alignment with FDA, EMA, or equivalent regulatory expectations
- Provide structured expert feedback that helps AI models reason more accurately about clinical trial data, outcomes, and evidence
- Flag methodological gaps, ambiguities, or misrepresentations in AI-generated clinical content
Who You Are
- Senior-level professional with deep experience designing clinical trial protocols for regulatory submission
- Highly skilled at interpreting clinical data for regulatory agencies such as the FDA, EMA, or equivalent bodies
- Strong grounding in clinical research methodology, biostatistics, or translational science
- Detail-oriented and systematic — you hold clinical data to the highest standards of rigor
- Comfortable working independently and asynchronously in a remote, task-based environment
Nice to Have
- Prior experience with data annotation, data quality evaluation, or AI content review
- Familiarity with AI tools or language model outputs in a scientific context
- Background in biomedical informatics, health technology assessment, or evidence synthesis
Why Join Us
- Work directly on frontier AI systems making an impact in clinical and biomedical research
- Influence how AI understands, evaluates, and communicates 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 teams and labs at the cutting edge of the field
- Potential for ongoing work and contract extension as new projects launch
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