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# Data Scientist

- **Company:** Northern California Institute For Research And Education (ncire)
- **Location:** San Francisco, CA, United States
- **Experience:** Experienced
- **Salary:** $70,304.0 - $93,060.0
- **Contract:** Permanent contract
- **Skills:** Training Data, Data Analysis, Big Data, Cloud Computing, Cluster Analysis, Computer Programming, Computer Terminals, Data Cleansing, Data Files, Data Integrity, Data Mining, Data Visualization, R (Programming Language), Apache Hadoop, Python (Programming Language), Machine Learning, Motion Capture, NumPy, Tensorflow, Data Processing, Scripting, Cloud Platform System, Feature Engineering, Pytorch, Apache Spark, Deep Learning, Model Validation, Pandas, Scikit Learn, Information Technology, Programming Languages
- **Published:** October 6, 2026
- **Apply:** https://www.careerbuilder.com/job-details/staff-research-associate-iii-data-scientist-san-francisco-ca--2410924c-8954-4b9f-b501-62ad8bb27f86

## About the Role

We are seeking a highly motivated and skilled Data Scientist to join our team focused on understanding the complicated relationship between biomechanical markers and aortic disease. This role will be instrumental in leveraging big data approaches to analyze vast datasets, identify patterns, and develop predictive models., * Master's or PhD degree in Computer Science, Data Science, Statistics, Biostatistics, Biomechanics, or a related field.

 * 3+ years of experience in data analysis, machine learning, or biostatistics.
 * Strong foundation in statistical modeling, machine learning techniques (e.g., classification, regression, clustering), and data mining.
 * Proficiency in programming languages like Python, R, or similar, with experience in data manipulation libraries like pandas, NumPy, Scikit-learn, and TensorFlow/PyTorch.
 * Experience with big data technologies (e.g., Hadoop, Spark, cloud computing platforms) is a plus.
 * Excellent understanding of biomechanics principles, particularly related to cardiovascular health, is preferred.
 * Strong communication, visualization, and presentation skills with the ability to convey technical information effectively to diverse audiences., Apache Hadoop, Apache Spark, Background Investigation, Big Data, Biomechanics, Biostatistics, Cardiovascular, Clinical Outcomes, Cloud Computing, Communication Skills, Computer Science, Computer Systems, Computer Terminals, Data Analysis, Data Cleaning, Data Clustering, Data Mining, Data Modeling, Data Quality, Data Science, Data Sets, Data Visualization, Deep Learning, Disease, Employee Retention, Federal Government, Healthcare, Machine Learning, Medical Office, Medical Research, Metrics, Model Validation, Occupational Health, Onboarding, Performance Analysis, Performance Modeling, Predictive Modeling, Presentation/Verbal Skills, Programming Languages, Publications, Python Programming/Scripting Language, R Programming Language, Research Administration, Risk, Statistical Modeling, Statistics, Technical Presentation, Training Data Sets, Vaccination

## Description

* Data Acquisition and Processing
 * Collaborate with biomechanics researchers and engineers to collect and integrate large-scale biomechanical datasets.
 * Develop efficient data cleaning and preprocessing pipelines to handle diverse data types and ensure data integrity.
 * Feature Engineering and Model Development
 * Extract meaningful measures from biomechanical data, potentially including motion capture, force plate, and physiological measurements.
 * Design and implement advanced machine learning models (e.g., deep learning, statistical modeling) to predict aortic disease risk progression.
 * Model Evaluation and Validation
 * Develop rigorous evaluation metrics and perform robust statistical analysis to assess model performance.
 * Validate model predictions against clinical outcomes and validate findings across diverse patient populations.
 * Data Visualization and Communication
 * Create clear and concise visualizations to communicate complex data relationships and model insights to stakeholders.
 * Present findings to research teams, clinicians, and collaborators in a clear and impactful manner.
 * Collaboration and Research
 * Collaborate effectively with researchers, engineers, and clinicians across disciplines to ensure alignment of data analysis with research goals.
 * Contribute to publications, presentations, and grate proposals related to the project.