Data Scientist
Foundation
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $51 - $82 per hour
Job Level
Mid-LevelSenior
Tech Stack
AzureCloudPythonSQL
About the role
- 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
- Completes own work independently
- Performs other related duties as assigned or requested.
Requirements
- Master’s degree with 0+ years of experience; 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 the most recent trends and developments in the Data Science / Machine Learning fields
- 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 solution
- 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
Benefits
- Comprehensive Benefits
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data miningstatistical analysismachine learningdeep learningNatural Language ProcessingSQLPythondata visualizationgenerative AIlarge language models
Soft skills
problem-solvingindependencecollaborationcommunicationproject managementcreativityhypothesis testingtechnical documentationpresentation skillsteamwork