Senior Scientist, Systems Neuroscience in Cambridge, MA

Senior Scientist, Systems Neuroscience

Position Responsibilities:

In the role as a Senior Scientist within the Systems Neuroscience group, the ideal candidate will:

• Utilize existing human datasets relevant to aging/neurodegenerative disorders to explore/design new validation studies for digital biomarker development.
• Work closely with the Systems Neuroscience lead to evaluate external potential partners (contract research organizations, start-ups, academics, consortia, foundations) for quality of work, data analysis and delivery, determining high priority digital data collection activities.
• Aid in developing relevant scope of work and contracts to support the above efforts.
• Aligning with the Systems Neuroscience team, design and oversee implementation of translational activities in proof-of-concept clinical studies conducted by clinical program teams.
• Provide guidance on clinical and nonclinical biomarker data analysis to Global Biometrics, and Informatics and Predictive Sciences.
• Prepare and deliver presentations within client and externally.
• Develop/maintain knowledge of the current literature, propose novel concepts and targets.
• Publish in scientific journals and present in scientific meetings as aligned with the Systems Neuroscience objectives.

Experience 

Basic Qualifications:

• Bachelor’s Degree
• 7 years of academic and / or industry experience Or
• Master’s Degree
• 5 years of academic and / or industry experience Or
• Ph.D. or equivalent advanced degree in the Life Sciences
• 2 of academic and / or industry experience

Preferred Qualifications:

• Master’s, Physiotherapy, Kinesiology, Data Analytics or Statistics Degree and 5 years of academic and / or industry experience or D.O, M.D, Ph.D. or equivalent advanced degree in the Life Sciences and 2 years of academic and / or industry experience
• Embraces being highly accountable for timelines and deliverables
• Solid understanding of the principles of clinical study design and execution
• Detailed knowledge and track record (as evidenced by publications in peer-reviewed journals) in biomechanical modeling of human function, especially movements
• Familiarity with and strategic use of methodologic approaches for analyzing individual and population-based datasets so as to inform feasibility and proof-of-concept study designs
• Experience in scaling models as soon as there is conviction of value added
• Significant experience developing written proposals, scope of work and contracts to support collaborative research; successful track record of obtaining research grants
• General understanding of drug development
• Excellent oral and written presentation skills

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