Research Associate Data Scientist
About The Position
Cedars-Sinai Medical Center in Los Angeles, CA is seeking a Research Associate Data Scientist to assist with the development, evaluation, and application of computational and statistical methods, including artificial intelligence and machine learning algorithms and software for the analysis of biomedical data. This role involves presenting and communicating scientific results through laboratory meetings, scientific conferences, and peer-reviewed publications. The position requires creating database-to-deployment pipelines for models using Python, R, and C++, and establishing sustainable data science infrastructure while adhering to best practices. Responsibilities include performing exploratory data analysis, collaborating with senior data scientists and principal investigators to identify applications of data science in biomedical research, and testing/validating code for robustness. The role also entails participating in the development of innovative algorithms and analytical methods, evaluating and interpreting analytical results, and communicating scientific findings.
Requirements
- Master’s degree or foreign equivalent in Electrical Engineering, Computer Science, Machine Learning, Applied Mathematics, Biomedical Imaging, or related field.
- Three (3) years of experience as a Research Associate Data Scientist, Computer Engineer, Biomedical Data Scientist, or related occupation.
- Experience with Python, C++, and R.
- Experience developing, testing, validating, and optimizing production-level, version-controlled code (GitHub/GitLab and Azure DevOps) for algorithm development, statistical analysis, and deployment.
- Experience implementing supervised and unsupervised learning algorithms (random forests, support vector machines, clustering, deep learning).
- Hands-on expertise training, fine-tuning, and deploying deep learning models using frameworks (PyTorch and TensorFlow).
- Experience adapting machine learning methods to biomedical research problems.
- Experience building end-to-end database-to-deployment pipelines including querying large relational databases (SQL), data cleaning, model training, validation, and deploying models in multiple computing environments.
- Experience communicating scientific results effectively through peer-reviewed publications, patents, conference presentations, and internal technical reports.
- Experience working with medical imaging data, including familiarity with industry-standard imaging formats (DICOM).
- Experience with image preprocessing workflows (segmentation, denoising, registration, resampling, and normalization).
- Experience using imaging software libraries (SimpleITK, MONAI, or NiBabel) to prepare data for machine learning analysis.
- Experience managing, processing, and optimizing large-scale 3D and 4D time-series datasets for deep learning model development on High-Performance Computing (HPC) or cloud-based GPU clusters.
Responsibilities
- Assist with the development, evaluation, and application of computational and statistical methods, including artificial intelligence and machine learning algorithms and software for the analysis of biomedical data.
- Assist with the presentation and communication of scientific results through laboratory meetings, scientific conferences, and peer-reviewed publications.
- Create database-to-deployment pipelines for models using the necessary programming languages (primarily Python, R, and C++).
- Create sustainable data science infrastructure and adheres to data analysis/machine learning best practices.
- Perform exploratory data analysis to gauge the need for or appropriateness of advanced analytical methods.
- Work with senior or lead data scientists, research programmers, and principal investigators to identify areas where data science can best be applied to answer biomedical research questions.
- Test and validate code to ensure robustness of data applications.
- Perform all other duties as assigned.
- Participate in the development of innovative algorithms and analytical methods.
- Participate in the evaluation and interpretation of all analytical methods and results.
- Participate in the oral and written communication of scientific results including publications.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
