Sleep/EEG/MEG Expert Consultant for AI Model Evaluations

Logistics: Level: Manager, Director, VPLocation: RemotePay rate: $100- $350p/hrDuration: Micro-consulting project, 4-6 hrs/total1099 Opportunity About: Clora's Client is a VC-backed, AI technology company developing AI agents that will fundamentally change how biomedical research and clinical development is done. The Client is looking for a Sleep Medicine/EEG/MEG expert with experience assessing EEG as a clinical trial biomarker, conducting Python analysis code alongside a written report, evaluating Event-Related Potential (ERP) paradigm design and component interpretation, conducting spectral analysis, including aperiodic/1-f separation, source localization and head modeling, conducting AASM-compliant sleep scoring, AND/OR assessing connectivity metrics and their volume-conduction pitfalls. Candidates can be clinical neurophysiologists, neuroscientists/computational neuroscientists, sleep medicine physicians, or registered polysomnographic technologists, who have experience with hands-on analysis of human EEG datasets, not solely theoretical or literature-based experience, and have practical expertise in preprocessing decisions, including filtering, referencing, ICA, artifact handling, and channel rejection, as well as how these choices can bias downstream results. Note - The micro-consulting engagement. This consultant will be given 2 assignments, estimated at approximately 2 hrs each for a total of 4-6 hrs of work. Responsibilities:Help the team establish a quality control pipeline to evaluate EEG data (spectral or sleep staging)Assess the output of AI models and train them based on real-world expert judgement creating a set of rules and rubrics including failures modes.Consultant will be given 1-2 assignments, estimated at approximately 2 hrs each for a total of 2-6 hrs of work, where the consultant will run the Client's proprietary agent through a series of skill assessments, review the output/report, analyze if the agent did everything as expected including used the right references, tools, assumptions, context, etc, and share the findings and reasoning with the team. Ideal Candidate:Clinical neurophysiologists, neuroscientists/computational neuroscientists, sleep medicine physicians, or registered polysomnographic technologists who have worked/supported the biotech, pharmaceutical, or medical device industriesExperience with hands-on analysis of human EEG datasets, not solely theoretical or literature-based experienceCandidates should have practical expertise in preprocessing decisions, including filtering, referencing, ICA, artifact handling, and channel rejection, as well as how these choices can bias downstream results.Excellent communication and interpersonal skills, with the ability to discuss complex topics and convey insights to stakeholders.Ability to articulate reasoning, not just conclusions.