Cancer Treatment Centers of America, Inc.
Data Scientist - Remote
Cancer Treatment Centers of America, Inc., Chicago, Illinois, United States, 60290
Join the transformative team at City of Hope, where we are changing lives and making a real difference in the fight against cancer, diabetes, and other life‑threatening illnesses. City of Hope’s growing national system includes its Los Angeles campus, a network of clinical care locations across Southern California, a new cancer center in Orange County, California, and treatment facilities in Atlanta, Chicago and Phoenix. Our dedicated and compassionate employees are driven by a common mission: To deliver the cures of tomorrow to the people who need them today.
Fully Remote Opportunity within the United States As a successful candidate, you will: We are seeking multiple Data Scientists to join our team. These roles will focus on querying and analyzing large, complex datasets to generate insights that inform cancer research and care delivery. The Data Scientists will apply data mining, statistical analysis, and machine/deep learning techniques to uncover patterns, develop predictive models, and translate findings into actionable solutions.
Collaborate with administrative leaders, clinicians, scientists, and IT specialists
Query, integrate and analyze large datasets from multiple systems
Develop, build and evaluate machine learning and deep learning models
Design and implement pilot studies to validate, optimize, and assess model/data science workflow performance
Produce technical documentation, visualizations and presentations
Project management for complex tasks
Complete own work independently
Perform other related duties as assigned or requested
Your qualifications should include: Master’s degree with 0+ years of experience; or Bachelor’s degree with 3+ years of experience
Preferred:
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 the most recent trends and developments in the Data Science / Machine Learning fields
Skills:
Experience with relational databases and SQL queries
Proficient in Python and related data and ML packages
Proficient 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, LangGraph, for building advanced AI solutions
Ability to work independently and use creative approaches to problem‑solving
Capable of turning questions into testable hypotheses, extracting data from complex databases, creating and evaluating statistical models
Experience in data visualization and ability to communicate results to both technical and non‑technical audiences
Experience in authoring and contributing to peer‑reviewed scientific publications
Experience in completing end‑to‑end projects with minimal to no supervision
Experience in being a part of big projects with many internal and external teams involved
Experience managing collaborative data science projects
We currently have 4 Openings
City of Hope employees pay is based on the following criteria: work experience, qualifications, and work location.
City of Hope is an equal opportunity employer.
#J-18808-Ljbffr
Fully Remote Opportunity within the United States As a successful candidate, you will: We are seeking multiple Data Scientists to join our team. These roles will focus on querying and analyzing large, complex datasets to generate insights that inform cancer research and care delivery. The Data Scientists will apply data mining, statistical analysis, and machine/deep learning techniques to uncover patterns, develop predictive models, and translate findings into actionable solutions.
Collaborate with administrative leaders, clinicians, scientists, and IT specialists
Query, integrate and analyze large datasets from multiple systems
Develop, build and evaluate machine learning and deep learning models
Design and implement pilot studies to validate, optimize, and assess model/data science workflow performance
Produce technical documentation, visualizations and presentations
Project management for complex tasks
Complete own work independently
Perform other related duties as assigned or requested
Your qualifications should include: Master’s degree with 0+ years of experience; or Bachelor’s degree with 3+ years of experience
Preferred:
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 the most recent trends and developments in the Data Science / Machine Learning fields
Skills:
Experience with relational databases and SQL queries
Proficient in Python and related data and ML packages
Proficient 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, LangGraph, for building advanced AI solutions
Ability to work independently and use creative approaches to problem‑solving
Capable of turning questions into testable hypotheses, extracting data from complex databases, creating and evaluating statistical models
Experience in data visualization and ability to communicate results to both technical and non‑technical audiences
Experience in authoring and contributing to peer‑reviewed scientific publications
Experience in completing end‑to‑end projects with minimal to no supervision
Experience in being a part of big projects with many internal and external teams involved
Experience managing collaborative data science projects
We currently have 4 Openings
City of Hope employees pay is based on the following criteria: work experience, qualifications, and work location.
City of Hope is an equal opportunity employer.
#J-18808-Ljbffr