Staff Research Associate III (Data Scientist)
NCIRE - The Northern California Institute for Research and Education, Inc. · CA, US
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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.
Responsibilities
- 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.
- 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.
- 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.
- 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.
- Collaborate effectively with researchers, engineers, and clinicians across disciplines to ensure alignment of data analysis with research goals.
- Contribute to publications, presentations, and grant proposals related to the project.
Requirements
- 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.
- 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.
- Must complete SFVA onboarding, including federal background check, occupational health clearance, vaccines and immunizations, and drug testing.
Skills
- Python
- R
- pandas
- NumPy
- Scikit-learn
- TensorFlow/PyTorch
- Statistical modeling
- Machine learning techniques
- Data mining
- Data visualization
- Presentation skills
Location
- Indoor office
- Medical research environment
Work Type
- Full-time
Experience Level
- 3+ years of experience
Education Level
- Master's degree
- PhD degree
Salary/Compensations
- $70,304.00 - $93,060.24 per year
About the Company
- NCIRE is an affiliate organization of the San Francisco VA Health Care System (SFVAHCS).
- NCIRE offers career opportunities in research and administration in pursuit of furthering medical research for our nation’s Veterans.
Equal Opportunity
- The Northern California Institute for Research and Education (NCIRE) is an Equal Employment Opportunity Employer.
- NCIRE is committed to a policy that provides equal employment opportunities to all employees and applicants for employment without regard to race, color, sex, religion, national origin, ancestry, age, marital status, medical condition, physical or mental disability, Veteran status, sexual orientation, or any other characteristic protected under federal and state law, and to make all employment decisions based on merit, qualifications, and abilities.
- We are committed to furthering the principle of equal employment opportunity.
- NCIRE actively works to attract and retain talented individuals.