Senior Data Scientist, Research

🔥 0 minutes ago

🏄 California – Remote

🏄 California – Remote

💵 $117.1k - $198.9k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

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Cedars-Sinai

WebsiteLinkedInAll Job Openings

10,000+ employees

🏥 Healthcare

💊 Pharmaceuticals

Healthcare • Pharmaceuticals

Cedars-Sinai is a leading healthcare organization that has been addressing the medical needs of a diverse community since its inception in 1902. Renowned for its excellence in patient care, clinical research, and medical education, Cedars-Sinai is recognized nationally for its innovative approaches in healthcare. It is especially noted for its advancements in the treatment of heart disease, cancer, and brain disorders, as well as its comprehensive education programs for healthcare professionals. The institution demonstrates a strong commitment to community service by enhancing the health of vulnerable populations in Los Angeles.

📋 Description

• Participate in biomedical research projects using programming, data mining, statistics, machine learning, and visualization techniques. • Invent, develop, evaluate, and apply algorithms, methods, and software for biomedical data analysis. • Query databases and perform data cleaning, quality control, exploratory data analysis, and analytical methods. • Develop and implement AI-based analytical frameworks, predictive models, and computational tools for ALS, Alzheimer's disease, and Parkinson's disease research. • Integrate single-cell and spatial transcriptomics, CITE-seq, spatial proteomics, and other multimodal datasets. • Create database-to-deployment pipelines using R, Python, SQL, and neo4j. • Create sustainable data science infrastructure and scalable, reproducible AI/ML pipelines. • Write clean, performant, reusable code managed on GitHub; test and validate code and deploy models to multiple environments. • Lead communication of scientific findings through laboratory meetings, scientific conferences, peer-reviewed publications, grant applications, and new research initiatives. • Collaborate with data scientists, computational biologists, experimental researchers, senior research and lead research data scientists, and principal investigators. • Serve as a resource to 1–2 staff assisting with algorithm, method, and software development, evaluation, and application. • Provide feedback to the lead for appraisals relating to research projects and work performance.

🎯 Requirements

• Bachelor's degree in Computer Sciences, Machine Learning, Applied Mathematics, Econometrics, Statistics, Engineering, Physics, or related field, required. • Minimum of 5 years of professional experience in data science, healthcare, or pharmaceutical industries or universities working with biomedical, clinical, or biological data. • Experience programming at an intermediate or advanced skill level with a high-level programming language such as R or Python. • Experience programming at an intermediate proficiency level in SQL. • Experience with the development and evaluation of computational and/or statistical methods including machine learning for data analysis. • Work experience should include being an author or co-author on one or more peer-reviewed scientific papers published in journals.

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