Logistics:

Level: Manager, Director, VP

Location: Remote

Pay rate: $100- $350p/hr

Duration: Micro-consulting project, 4-6 hrs/total

1099 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 industries
• Experience with hands-on analysis of human EEG datasets, not solely theoretical or literature-based experience
• Candidates 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.