Research Associate Data Scientist - Ajami Lab - Department of Neurology
About The Position
The Research Associate Data Scientist participates in biomedical research projects using programming, data mining, statistics, machine learning, and visualization to help develop, evaluate, and apply algorithms, methods, and software for data analysis. The role includes querying databases; cleaning and quality-controlling data; applying supervised and unsupervised machine learning and parametric and nonparametric statistical methods; deploying production models; and helping communicate scientific findings through peer-reviewed publications and conferences. The successful candidate writes clean, performant, reusable code managed on GitHub for repeatable analyses and for training and deploying models across multiple environments. The position supports the Ajami Lab’s new research program at Cedars-Sinai, focused on immune mechanisms driving neurodegeneration, particularly ALS and microglial biology. The Research Associate works with research, senior research, and lead research data scientists and principal investigators to identify how data science can answer biomedical research questions.
Requirements
- Bachelor’s degree in Computer Science, Machine Learning, Applied Mathematics, Biomedical Imaging, Statistics, Engineering, Physics, or a related field.
- Up to two years of professional experience in healthcare or pharmaceutical industries working with biomedical data.
- Intermediate programming proficiency in a high-level language such as R or Python; college projects may be acceptable.
- Basic to intermediate programming proficiency in SQL.
Nice To Haves
- Master’s degree in Computer Science, Machine Learning, Applied Mathematics, Biomedical Imaging, Statistics, Engineering, Physics, or a related field.
- Experience in biomedical machine learning.
Responsibilities
- Assist with developing, evaluating, and applying computational and statistical methods, including artificial intelligence and machine-learning algorithms and software, to biomedical data.
- Help present and communicate scientific results in laboratory meetings, at scientific conferences, and through peer-reviewed publications.
- Create database-to-deployment pipelines for models using programming languages, primarily R, Python, SQL, and neo4j.
- Create sustainable data-science infrastructure and adhere to data-analysis and machine-learning standards.
- Clean and quality-control data, and perform exploratory data analysis to assess whether advanced analytical methods are appropriate or needed.
- Assist research, senior research, and lead research data scientists and principal investigators in identifying where data science can best be applied to biomedical research questions.
- Test and validate code to ensure adaptability of data applications, using GitHub for version control.
- Write reusable code for repeatable analyses and for training and deploying models to multiple environments.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
