Foundation
11 - 50 employees
₿ Crypto
🏪 Marketplace
🛍️ eCommerce
💰 $200k Seed Round on 2021-02
Crypto • Marketplace • eCommerce
Foundation is a platform that facilitates the buying and selling of NFTs (Non-Fungible Tokens). It provides a marketplace where artists and collectors can connect and trade digital artworks and collectibles, often expressed in Ethereum cryptocurrency. The platform features various trending and featured works, including exhibitions and galleries presented by different artists or collectives. Foundation Labs operates with a focus on the digital art community, providing a space for creators to showcase their work to a global audience.
Senior Data Scientist
Job not on LinkedIn
🕒 April 24
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Foundation
11 - 50 employees
₿ Crypto
🏪 Marketplace
🛍️ eCommerce
💰 $200k Seed Round on 2021-02
Crypto • Marketplace • eCommerce
Foundation is a platform that facilitates the buying and selling of NFTs (Non-Fungible Tokens). It provides a marketplace where artists and collectors can connect and trade digital artworks and collectibles, often expressed in Ethereum cryptocurrency. The platform features various trending and featured works, including exhibitions and galleries presented by different artists or collectives. Foundation Labs operates with a focus on the digital art community, providing a space for creators to showcase their work to a global audience.
📋 Description
• Query, curate, and analyze large, complex healthcare datasets • Generate insights that improve cancer care delivery • Apply statistical modeling, machine learning, clinical NLP, and large language model-enabled information extraction • Identify patterns in longitudinal data • Transform clinical notes into structured, research- and operationally useful variables • Build predictive models • Deliver actionable solutions for clinical, research, and decision-support workflows • Collaborate with administrative leaders, clinicians and IT specialists • Design and implement pilots for validation and optimization of models in real time • Produce technical documentation, visualizations and presentations • Lead projects with multiple work streams or complex tasks • Project management for complex tasks • Complete individual or collaborative projects independently • Provide key subject matter expertise and leadership in advancing the use of AI technologies in precision medicine and clinical decision support • Provide mentorship and guidance to more junior staff • Performs other related duties as assigned or requested
🎯 Requirements
• PhD degree in computer science, engineering, statistics, mathematics, physics, or fields related to data science with 0+ years of experience as a data scientist, Master’s degree with 3+ years of experience; or Bachelor’s degree with 5+ years of experience • Familiarity with a health care environment and EHR data • Familiarity with genomics and medical imaging data • Time series analysis • Natural Language Processing (NLP), including clinical NLP and large language model applications for unstructured clinical data. • Cloud services platforms like Amazon AWS and Microsoft Azure • Awareness of the most recent trends and developments in the Data Science / Machine Learning fields • Data analytics expert with measurable track record within industry or academic environment, developing and successfully implementing statistical and machine learning models for data mining, classification, prediction and clustering • Experience with relational databases and SQL queries. • Must be knowledgeable in at least one scientific computing language such as Python (e.g. pandas, scikit-learn, genism, seaborn, tensorflow), R (e.g. caret, dplyr, ggplot2), and Matlab • Solid experience in Machine learning (RandomForest, XGBoost/ LightGBM, etc.) and deep learning (CNN, RNN, LSTM, etc.) techniques • Proficiency in at least one programming language (e.g. Python, Java, C/C++) • 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 a non-technical audience • 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 • Experience mentoring or leading teams of data scientists • Strong track record of data science publications, or extensive experience in developing production grade models and managing them in production • Information extraction from clinical notes • Longitudinal EHR/claims data • Evaluation of production-grade clinical AI systems
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