Clinical Scientist

About Brooklyn Health

Brooklyn Health is solving the measurement problem in mental health through accurate, objective, and sensitive measurement of symptoms, enabling precision neuroscience in clinical research and patient care. The company’s Willis platform is modernizing the technology stack for CNS clinical trials, improving endpoint quality and reducing placebo response. Brooklyn Health is backed by leading healthcare and technology investors including HealthX Ventures, Metrodora Ventures, Story Ventures, River Park Ventures, Laconia Capital, Everywhere Ventures and others.

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We’re hiring a Clinical Scientist to oversee the quality, reliability, and integrity of study data in CNS trials by leading rater onboarding and scale training, conducting blinded data surveillance, and overseeing targeted site remediation to safeguard trial endpoints. The Clinical Scientist sits within the Science team. Base salary for this position is $130,000-$200,000.

• Provide oversight and expertise to ensure the quality and integrity of clinical outcome assessment data in CNS clinical trials; interface with sponsors and CROs to communicate insights around study data quality
• Lead rater training and onboarding for clinical raters, including contributing to the development of training materials and overseeing rater certification process
• Conduct reviews of study data and make recommendations regarding site and rater feedback, interventions, and remediation
• Oversee targeted site interventions and rater remediation
• Participate in eligibility review meetings with study team, contributing perspectives on clinical data quality related to eligibility decisions
• Provide subject matter expertise in CNS disorders and clinical outcome assessments internally and externally to study teams
• Collaborate with other members of the Science team to further develop and refine study data monitoring methods

• 5+ years experience as a Clinical Scientist, Clinical Rater, Rater Trainer, or equivalent position in CNS clinical trials (e.g., Psychiatry, Neurology)
• Advanced degree in health sciences field (e.g., Psychology, Psychiatry, Nursing, Pharmacology)
• Deep practical familiarity with standard CNS assessments (e.g., MADRS, HAM-D, PANSS, HAM-A, CAPS-5, MINI, etc.)
• Meticulous attention to detail with a strong background in clinical data evaluation, quality control frameworks, or trial QA workflows
• Demonstrated ability to interpret rater performance data, guide clinical decision-making, and manage site-facing interventions constructively

• Interest and/or experience in evaluating AI-based clinical decision support tools
• Proficiency with data visualization tools and approaches for identifying data trends
  
  Record of contributing to and disseminating empirical findings related to clinical outcome assessments, clinical trial data integrity, or related topics