Neuroscience Physician | Remote

Crossing Hurdles; United Kingdom; On-site; GBP 80,000 - 120,000; Full time

Job summary

A healthcare technology firm in the United Kingdom is seeking a qualified medical professional to collaborate on AI model development in neurology. Responsibilities include training and evaluating machine learning models, reviewing clinical data, and communicating findings with interdisciplinary teams. The ideal candidate will possess an MD or DO with neurology board certification, strong clinical experience, and expertise in interpreting advanced diagnostic tests. This role involves close collaboration with AI developers to enhance diagnostic recommendations.

Qualifications

• MD or DO with board certification or board eligibility in Neurology.
• Strong clinical experience diagnosing and managing neurological disorders.
• Expertise in interpreting neurological examinations and advanced diagnostic testing.
• Experience with clinical data annotation and medical data analysis.
• Familiarity with machine learning model evaluation.

Responsibilities

• Collaborate with AI developers to train and evaluate machine learning models.
• Annotate, review, and interpret clinical data including patient histories.
• Communicate clinical findings clearly to interdisciplinary teams.

Skills

Clinical data analysis

Expertise in neurological disorders

Written communication

Verbal communication

Attention to detail

Collaboration

Education

MD or DO with board certification or board eligibility in Neurology

Tools

Machine learning evaluation tools

Digital health technologies

Job description

Overview

Collaborate with AI developers to train and evaluate machine learning models for neurological diagnostics and treatment recommendations. Annotate, review, and interpret clinical data including patient histories, physical exams, and diagnostic test results. Provide subject matter expertise on disorders of the brain, spinal cord, and peripheral nerves. Analyze outcomes of neurological procedures and diagnostic tests such as lumbar punctures, EEG, EMG, and nerve conduction studies. Communicate clinical findings and feedback clearly to interdisciplinary teams. Identify clinical nuances and potential pitfalls to enhance AI safety and robustness. Stay current with advancements in neurology and integrate emerging insights into AI model development.

Requirements

• MD or DO with board certification or board eligibility in Neurology (adult or pediatric)
• Strong clinical experience diagnosing and managing neurological disorders
• Expertise in interpreting neurological examinations and advanced diagnostic testing
• Experience with clinical data annotation and medical data analysis
• Familiarity with machine learning model evaluation and digital health technologies
• Exceptional written and verbal communication skills
• High attention to detail and ability to collaborate across interdisciplinary teams