Research Data Scientist III – Brain Research
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Job Description
Research Data Scientist III engaging in clinical discovery through advanced analytics and machine learning. Collaborating with PIs and cross-functional teams to drive impactful neuroscience research.
Responsibilities:
- 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.
Requirements:
- 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
Benefits:
- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
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