Job summary
Job post source
This job is directly from Cahira Technologies
Job overview
The Computational Neuroscientist / Medical AI Scientist at Cahira Technologies will translate advanced neuroscience into AI-driven neuromodulation solutions for cognitive enhancement and neurological disease treatment, impacting personalized neuro-interventions.
Responsibilities and impact
The role involves interpreting diverse brain and clinical data, collaborating with AI engineers to develop neurobiologically informed AI models, validating these models for clinical use, contributing to scientific strategy and publications, and representing the company at conferences.
Experience and skills
Candidates must have a PhD in Computational Neuroscience or related fields, 3+ years analyzing neurophysiological data, expertise in EEG, fMRI, LFP or spike recordings, proficiency in Python or MATLAB, and knowledge of brain circuits and neuromodulation techniques; preferred skills include experience with clinical datasets, machine learning, and regulatory awareness.
Company information
Cahira Technologies is an MIT spinoff pioneering autonomous, non-surgical brain-computer symbiosis implants for treating neural diseases and human augmentation.
Unique job features
The job offers a unique opportunity to work on cutting-edge brain-computer symbiosis technology integrating neuroscience, AI, and clinical applications in a pioneering MIT spinoff environment.
Company overview
Cahira Technologies is an MIT spinoff company based in Boston, focused on developing novel sub-cellular sized wireless electronic devices. The company leverages advanced research in neuroscience, nanoelectronics, and bioengineering to create innovative neural interfaces and related technologies. Their business model centers on commercializing these cutting-edge devices, likely targeting applications in neuroscience research, medical devices, and neural engineering. Founded by Himanshu Ranjan, Cahira Technologies is recognized for building what is described as the world's first devices of their kind, positioning the company at the forefront of wireless neural technology innovation. This unique expertise and MIT heritage make Cahira Technologies a notable player in the intersection of biotechnology and electronics.
How to land this job
Tailor your resume to emphasize your PhD in Computational Neuroscience or related fields, highlighting your expertise in EEG, fMRI, LFP, or single-unit spike recordings and your experience analyzing complex neurophysiological data using Python or MATLAB.
Focus on showcasing your ability to bridge neuroscience and AI by detailing collaborations with AI/ML engineers, your role in developing neurobiologically informed features, and validating AI models for clinical utility and neuroscientific plausibility.
Apply through multiple platforms including Cahira Technologies’ corporate website and LinkedIn to maximize your chances of being noticed for this specialized role.
Connect with current Computational Neuroscientists or team members in AI and neuroscience divisions at Cahira Technologies on LinkedIn; open conversations with ice breakers like commenting on recent publications by the company or asking about their approach to integrating multimodal brain data in AI models.
Optimize your resume for ATS by incorporating keywords from the job description such as 'computational neuroscience,' 'neuromodulation,' 'EEG,' 'fMRI,' 'Python,' 'AI model validation,' and 'clinical neuro data' to ensure your resume passes automated screenings.
Leverage Jennie Johnson’s Power Apply feature to automate tailoring your resume, identify multiple application portals, and find relevant LinkedIn connections, allowing you to focus your energy on preparing for interviews and networking effectively.
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