Data Scientist

Neurotech Institute seeks a Data Scientist with expertise in analyzing and integrating physiological time series data, neuro-imaging data, and psychophysics data. The scientist will develop novel methods and predictive models using dynamical systems, network neuroscience, control theory, graph theory, machine learning, artificial intelligence, and statistics applied to human cognition and neuropsychiatric conditions. Preferred candidates will also have expertise in neurophysiological data signal analysis, feature extraction, dimensionality reduction, statistical analysis, data visualization, and data integration with radiological data sets, such as resting state connectivity. Salary is commensurate with the candidate’s experience and credentials. The candidate will interact with human subjects in clinical environments. The successful candidate report to the CEO of the NeuroTech Institute.

Responsibilities

• Preprocess raw data: assessing quality, cleansing, structuring for downstream processing
• Analyze and integrate time series and discrete data sources
• Develop data visualization methods
• Develop predictive models
• Collaborate with cross-functional teams of clinicians, engineers and scientists
• Communicate findings in oral and written format for presentation and publication

Qualifications

• Master's degree, Doctoral degree, or equivalent experience in quantative field (Physics, Statistics, Mathematics, Computer Science, Engineering, etc.)
• At least 2 years of experience in quantitative analytics or data modeling
• Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms
• Expertise in a programming language (Python, C,C++, Java, SQL)
• Proficiency with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau)