A Data Scientist III in Brain Research is a senior, research-focused professional who applies advanced analytics, statistical modeling, and machine learning to support neuroscience studies and clinical discovery.
In close partnership with Principal Investigators (PIs), this role designs and executes research initiatives using multimodal neuroimaging data—including MRI, fMRI, and DTI—to examine structural and functional changes across the brain.
Key responsibilities include developing Python-based computational workflows for data preprocessing, analysis, and modeling; testing and validating hypotheses across specific brain regions; and translating complex analytical results into clear, actionable insights for research and publication.
Collaborating with cross-functional teams to design and build data-driven software systems, such as analytics platforms, data pipelines, and machine learning–enabled applications.
Advancing disease-focused research including Alzheimer’s disease, stroke, and epilepsy by uncovering patterns in brain data that inform diagnosis, disease progression, and treatment strategies.
Developing new software, data models, and proof-of-concept solutions, ensuring rigorous testing and validation to deliver reliable, production-quality outcomes while working closely with PIs throughout the research lifecycle.

Bachelor’s Degree in Statistics, Actuarial Science, Econometrics, Physics, Biostatistics, Computer Science, Applied Mathematics, Engineering, Business Analytics, Economics, Finance or related field and 4 years of related experience working with relational databases and/or distributed computing platforms, and their query interfaces, such as SQL, Teradata, MapReduce, PIG, and Hive OR PH.D OR Master’s Degree and 2 years of relevant experience
Excellent written, verbal, and presentation skills in English and ability to explain the value of Machine Learning (ML) and Artificial Intelligence (AI) to business leaders
Experience working with a variety of statistical languages/packages, e.g., SAS, R, Python, Spark, and/or SPSS
Knowledge applying advanced statistics to complex business problems required (e.g., modeling, AI, ML, Deep Learning [DL], and/or Natural Language Processing [NLP])
Familiarity with additional programming languages, including Python, Java, or C/C++
Experience leveraging visualization software and techniques and business intelligence (BI) software
Technical knowledge of distributed computing platforms, and common data process flows from data instrumentation & generation, to ETL, to the data warehouse itself
Demonstrated leadership qualities, including presentation, influencing and negotiation

Research Data Scientist III – Brain Research

Key skills