Applied Data Scientist

About the role

This position involves creating and implementing advanced AI and machine learning solutions specifically for the healthcare sector. You will work with complex health data to build models that improve patient care and operational efficiency.

Key facts

What you'll do

• Construct and implement machine learning and deep learning systems for healthcare use cases.
• Examine extensive collections of health-related data, both organized and unorganized.
• Create predictive systems for aiding clinical choices, forecasting illnesses, categorizing patient risks, and enhancing operational workflows.
• Work alongside medical professionals, product leaders, engineers, and researchers to transform healthcare challenges into AI-driven answers.
• Develop natural language processing models to interpret clinical records and medical documentation.
• Assess the effectiveness of models, ensuring they are reliable, equitable, and understandable.
• Keep abreast of new developments in AI, health information technology, and biomedical study.
• Adhere to healthcare industry rules and data privacy requirements.

Requirements

• Hold a Master's or Ph.D. in Computer Science, Data Science, Artificial Intelligence, Biomedical Informatics, Bioinformatics, Statistics, or a similar discipline.
• Possess 3 to 8 years of practical experience in machine learning or applied AI.
• Have experience working with healthcare data types, including Electronic Health Records (EHR), claims information, medical images, clinical notes, and data from wearable devices.
• Demonstrate a solid understanding of machine learning, deep learning, natural language processing, time-series forecasting, and statistical modeling.
• Be proficient in Python.
• Have experience with development frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Be experienced with SQL and big data technologies.

Nice to have

• Familiarity with cloud computing environments such as AWS, Azure, or Google Cloud Platform.

Skills & tools

• Python
• TensorFlow, PyTorch, or Scikit-learn
• SQL
• Big data tools
• Machine Learning
• Deep Learning
• NLP
• Time-series forecasting
• Statistical modeling

Practical notes

• This is a 100% remote, long-term contract position.