Scientist Jobs

About The Position

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.
• 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.

Nice To Haves

• 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.

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.

Benefits

• The base wage range for this position is $70,304.00 - $93,060.24 per year.
• Salary and rank will commensurate with the candidate's qualifications and experience.
• A successful candidate may also be eligible to earn additional compensation including bonuses.