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Temporary Data Science Neuroscience Jobs (NOW HIRING)

Vanderbilt University

Data Scientist

Nashville, TN

Clinical Science, Cognition and Cognitive Neurosciences, and Neuroscience. Key Functions and ... Performs data preprocessing, cleaning, organization, quality assessment, and transformation to ...

Ipsen

Senior Data Scientist

Cambridge, MA · On-site

Oncology, Rare Disease and Neuroscience. Supported by nearly 100 years of development experience ... Data Science & Analytic Capabilities Building: * Develop analytic and data science solutions that ...

Vanderbilt University

Data Scientist

Nashville, TN · On-site

The Data Scientist applies advanced statistical methods, machine learning techniques, computational ... Clinical Science, Cognition and Cognitive Neurosciences, and Neuroscience. Key Functions and ...

University of Hawaii

Lecturer (Data Science)

Hilo, HI · On-site

Lecturer (Data Science) Position Number: Pending Hiring Unit: College of Natural and Health ... Temporary Other Conditions: Lecturer applicant pool for Academic Year 2026 - 2027. Positions are ...

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How much do temporary data science neuroscience jobs pay per year?

As of Jul 12, 2026, the average yearly pay for temporary data science neuroscience in the United States is $142,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $166,500.00 per year, depending on experience, location, and employer.
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Data Scientist

Data Scientist

Vanderbilt University

Nashville, TN

Full-time

Posted 4 days ago

Vanderbilt University rating

7.8

Company rating: 7.8 out of 10

Based on 38 frontline employees who took The Breakroom Quiz

200th of 552 rated colleges and universities

Job description

Description

The Data Scientist applies advanced statistical methods, machine learning techniques, computational modeling, and artificial intelligence approaches to characterize, predict, and optimize research findings. This role collaborates with interdisciplinary research teams to develop analytical solutions, create reproducible data pipelines, and communicate results through scientific visualizations, technical reports, and data-driven recommendations.

About the Work Unit:

The internationally renowned Department of Psychology houses several award-winning professors who are distinguished scholars in their respective fields and who are dedicated to providing world-class education and training to our undergraduate and graduate students. While our course curriculum encompasses all the sub-disciplines of Psychology, the research of our faculty centers around three major areas: Clinical Science, Cognition and Cognitive Neurosciences, and Neuroscience.

Key Functions and Expected Performance:

  • Conducts advanced computational analyses of human behavioral and neuroscience datasets to support research initiatives.

  • Performs data preprocessing, cleaning, organization, quality assessment, and transformation to prepare data for statistical and computational analysis.

  • Applies advanced statistical methodologies, machine learning algorithms, and AI models to identify patterns, generate predictions, and evaluate research outcomes.

  • Develops computational models and analytical frameworks to characterize relationships between human data and artificial intelligence-based models.

  • Designs, implements, and maintains data workflows, analytical pipelines, and reproducible computational processes.

  • Analyzes datasets to identify trends, opportunities, and insights that support institutional and research goals.

  • Creates scientific figures, data visualizations, and analytical summaries to communicate complex findings effectively.

  • Documents analytical methodologies, computational approaches, code, and research workflows.

  • Produces detailed technical reports describing analysis results, interpretations, and recommendations.

  • Collaborates with faculty researchers, laboratory personnel, and interdisciplinary teams to define project objectives and deliver analytical support.

  • Communicates findings and recommendations to key stakeholders, research partners, and university leadership.

  • Coordinates moderately complex analytics projects by managing timelines, deliverables, and communication across research teams.

  • Provides weekly project updates summarizing completed analyses, progress toward objectives, challenges, and upcoming goals.

  • Recommends improvements to data systems, analytical processes, and research methodologies based on benchmarking and performance evaluation.

  • Ensures compliance with data privacy standards by working exclusively with appropriately anonymized human research data.

  • Shares relevant code, analytical tools, and computational pipelines developed through research activities with collaborating laboratories.

Supervisory Relationships:

This position does not have supervisory responsibility. This position reports administratively to the Administrative Manager and functionally to the PI.

Education and Certifications:
Master’s or PhD degree in data science, Computer Science, Statistics, Mathematics, Neuroscience, Psychology, Engineering, or a related quantitative field.

Experience and Skills:

  • 4 or more years of experience performing data analysis, statistical modeling, machine learning, computational research, or related technical work 

  • Basic data science and statistics

Key Characteristics of a Successful Team Member in this Work Unit:

Analytical and Detail Oriented 

Autonomous

Creative Thinking and Independent Problem Solving

Honest and Transparent

Resilient

 

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