Data Scientist

Job not on LinkedIn

🔥 7 minutes ago

🇺🇸 United States – Remote

💵 $53 - $85 / hour

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

City of Hope

WebsiteLinkedInAll Job Openings

10,000+ employees

🏥 Healthcare

🧬 Biotechnology

🔬 Science

💰 $5.4M Grant - City of Hope on 2024-05

Healthcare • Biotechnology • Science

City of Hope is a nonprofit, NCI-designated comprehensive cancer center and research hospital near Los Angeles that provides patient care, conducts translational biomedical research, and offers education and clinical trials across a national network. It focuses on cancer, diabetes, and other life‑threatening diseases, combining clinical services, laboratory science, training and community outreach to develop new treatments and support patients and families.

📋 Description

• Design, develop, and deploy advanced machine learning and artificial intelligence solutions supporting cancer research and clinical operations • Collaborate with administrative leaders, clinicians, and IT specialists • Query large datasets from multiple systems • Design, develop, validate, and deploy machine learning and deep learning models, including transformer-based architectures, multimodal neural networks, and LLM systems • Architect, deploy, and monitor production-grade AI systems, including LLM-based RAG pipelines, agent frameworks, and multimodal inference systems in cloud or distributed environments • Produce technical documentation, visualizations, and presentations • Lead technical design and implementation of complex AI initiatives involving research, clinical, and engineering teams • Complete work independently • Design multimodal AI solutions integrating text, imaging, genomic, and structured clinical data using deep learning and transformer-based models • Perform other related duties as assigned or requested

🎯 Requirements

• Master’s degree in Computer Science, Data Science, Machine Learning, Artificial Intelligence, Statistics, Applied Mathematics, Bioinformatics, Engineering, or a closely related quantitative field; or Bachelor’s degree with 3+ years of experience • Familiarity with a health care environment and EHR data • Familiarity with multimodal data such as genomics and medical images • Background in deep neural networks and Natural Language Processing (NLP) • Familiarity with cloud services platforms like Microsoft Azure • Experience with Generative AI and Large Language Models (LLMs), including RAG, fine-tuning, embedding models, prompt engineering, and integration into agentic data science workflows • Proficiency with version control systems (Git) and collaborative development workflows • Awareness of recent trends and developments in Data Science and Machine Learning • Experience with relational databases and SQL queries • Proficiency in Python and related data and ML packages • Proficiency in standard data science workflows, including training, evaluating/testing, and deploying machine learning and deep learning models • Familiarity with LLM frameworks and packages such as LangChain and LangGraph • Ability to work independently and use creative approaches to problem-solving • Ability to turn questions into testable hypotheses, extract data from complex databases, and create and evaluate statistical models • Experience in data visualization and communicating results to technical and non-technical audiences • Experience authoring and contributing to peer-reviewed scientific publications • Experience completing end-to-end projects with minimal to no supervision • Experience participating in large projects with many internal and external teams • Experience managing collaborative data science projects

🏖️ Benefits

• Comprehensive Benefits (details provided via employer benefits link)