Data Scientist
Summary
Implemented high throughput prediction of drug target interactions by building machine learning models from scratch using Scikit-learn, XGBoost and scaling them using Ray on Anyscale
Enabled easy visualization of results from regression and clustering models by creating a web app for custom data uploading and processing using Streamlit and Plotly
Revealed the hidden connections within diverse datasets of clinical trials, research publications, diseases and drugs by developing a schema for graph database and linking data using SciSpacy and Polars through relevant ontologies
Developed machine learning pipeline on AWS Sagemaker and deployed model on NVIDIA artificial intelligent edge devices for inference
Developed python scripts to extract features from medical images in DICOM format
Expectations
Structured onboarding, Exciting work, Learning resources, Benefits, Flexibility
Employment Preferences
Expected Base Salary
**0,000 USD
Expected Hourly Rate
** USD/hr
Academic Degree
Experience
Total Professional Experience
Startup Experience
Big-Tech Companies
Enterprise Experience
Skills
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