Neuroscience Specialist

Job Summary

Join micro1's team as a Neuroscience Specialist and play a critical role in shaping the future of clinical AI. Leverage your expertise in adult or pediatric neurology to develop, refine, and validate artificial intelligence systems designed to advance neurological diagnostics and patient care. Contribute to innovative healthcare solutions from the comfort of your home, collaborating with professionals passionate about medical excellence and technology.

Key Responsibilities

• Collaborate with AI developers to train and evaluate machine learning models for neurological diagnostics and treatment recommendations.
• Annotate, review, and interpret clinical data including histories, physical exams, and diagnostic test results to ensure high-quality AI outputs.
• Provide subject matter expertise on disorders of the brain, spinal cord, and peripheral nerves with a primarily nonsurgical focus.
• Analyze the outcomes of neurological procedures and diagnostic tests such as lumbar punctures, EEG, EMG, and nerve conduction studies to inform AI development.
• Communicate clinical findings, feedback, and insights clearly and accurately to interdisciplinary teams in both written and verbal formats.
• Identify potential clinical pitfalls and nuances to improve the robustness and safety of AI-powered solutions.
• Stay updated with the latest advancements in neurology and integrate emerging knowledge into model training and validation processes.

Required Skills and Qualifications

• Medical degree (MD or DO) with board certification or eligibility in Neurology (adult or pediatric specialization welcomed).
• Demonstrated clinical experience in diagnosing, managing, and treating neurological disorders (e.g., Adult and Pediatric Neurologist, General Neurologist, Physician).
• Expertise in interpreting neurological examinations and procedures, including advanced diagnostic testing.
• Exceptional written and verbal communication skills, with a strong attention to clinical detail and clarity.
• Ability to analyze and synthesize complex clinical information for technical and non-technical audiences.
• Passion for advancing medicine through technology, innovation, and multidisciplinary teamwork.
• Experience working with or interest in digital health, informatics, or health AI technologies.

Preferred Qualifications

• Prior experience with AI, ML, or health technology projects in a clinical or research setting.
• Strong familiarity with data annotation and quality assurance workflows.
• Background in both adult and pediatric neurology is a plus.

Key skills/competency

• Clinical AI
• Neurological Diagnostics
• Machine Learning Models
• Clinical Data Annotation
• Medical Expertise
• Nonsurgical Neurology
• EEG/EMG Interpretation
• Interdisciplinary Collaboration
• Digital Health
• AI Model Validation