Senior Data Scientist - Biomechanics & Cardiovascular Risk

NCIRE; San Francisco (CA); On-site; USD 70,000 - 93,000; Full time

Job summary

NCIRE is seeking a Staff Research Associate III (Data Scientist) to join a team focused on understanding biomechanical markers and aortic disease. You will leverage big data to analyze datasets, develop predictive models, and communicate insights to clinicians and researchers.

The role involves collaborating with researchers across disciplines, building data pipelines, and validating models against clinical outcomes, with base wages aligned to experience and location.

Qualifications

• Master's or PhD degree in Computer Science, Data Science, Statistics, Biostatistics, Biomechanics, or 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 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.

Responsibilities

• 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.

Skills

Data analysis

Machine learning

Statistical modeling

Data visualization

Communication

Education

Master's or PhD degree in CS/DS/Statistics/Biostatistics/Biomechanics

Tools

Python

R

pandas

NumPy

Scikit-learn

TensorFlow

PyTorch

Job description

NCIRE is seeking a Staff Research Associate III (Data Scientist) to join a team focused on understanding biomechanical markers and aortic disease. You will leverage big data to analyze datasets, develop predictive models, and communicate insights to clinicians and researchers.

The role involves collaborating with researchers across disciplines, building data pipelines, and validating models against clinical outcomes, with base wages aligned to experience and location.