Life Sciences Research Advisor

Put your PhD to work at the frontier of AI. Bring the research you know best and help train the AI models used by millions, on your own schedule, from anywhere. You'll design hard scientific problems, catch where today's best models reason wrong, and set the expert standard they learn from. Workada connects skilled contributors with meaningful AI work. Your expertise makes AI systems smarter, safer, and more useful for everyone. We're building a life-sciences community of PhDs who can push advanced models to the edge of real scientific reasoning, and we want you in it. What You'll Do As a contributor, you'll draw on your specialized research and published findings to stress-test advanced AI models. You'll design complex scenarios based on your own expertise to identify where models struggle with high-level scientific reasoning. By surfacing subtle reasoning errors and providing expert-validated corrections, you help set the standard that teaches AI to think more like a scientist. Your work ensures that the next generation of models is grounded in rigorous evidence and accurate technical logic. Specialties We're Looking For If your PhD is in a life-science field, there's likely a place for you. We're building depth across genomics, molecular and cell biology, immunology, neuroscience, biochemistry, medicinal chemistry, pharmacology, structural biology, microbiology, bioinformatics, physiology, and ecology and evolution (among others). You're a Great Fit If - You hold, or are completing, a PhD in a life-science field, or have equivalent research depth. - You can draw on your own published papers (work you authored or co-authored and already have accessible) as the source material for your Tasks. - You read primary literature fluently and think critically about study design, statistics, and evidence. - You have a precise, adversarial eye; you enjoy finding the exact point where an argument breaks and explaining it cleanly. - You're honest about uncertainty, distinguishing what the evidence shows from what you'd like it to show. No AI or machine-learning background needed. Your scientific judgment is the expertise we're after. Materials You Can Use Almost any piece of your work can seed a Task, for example: - Published papers - Figures and the data behind them - Result tables and summary statistics - Datasets and supplementary files - Experimental images and readouts - Sequences, structures, and other domain-specific data - Methods, protocols, and the analysis code behind them