Staff Research Associate III (Data Scientist)
$68,640–$93,060 year
On-site · San Francisco, California, United States
Job Summary
Join our team as a Data Scientist focused on analyzing biomechanical markers and aortic disease. Role responsibilities include data acquisition, processing, and feature engineering, along with developing and validating predictive models. The position requires advanced machine learning model design, statistical analysis, data visualization, and effective communication of findings to stakeholders. Candidates must have a Master's or PhD in a relevant field and at least 3 years of experience in data analysis. Proficiency in programming languages such as Python and a strong background in statistical modeling are essential.
Required Qualifications
- 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
- Strong communication, visualization, and presentation skills with the ability to convey technical information effectively to diverse audiences
Desired Qualifications
- Experience with big data technologies (e.g., Hadoop, Spark, cloud computing platforms)
- Excellent understanding of biomechanics principles, particularly related to cardiovascular health
Additional Requirements
- Candidates must complete SFVA onboarding process and pass a federal background check, occupational health clearance, vaccines and immunizations, and drug testing which may include screening for marijuana.
Apply with one swipe on Sorce. We auto-fill applications and apply on your behalf — no cover letters, no 40-minute forms.
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.