What are the responsibilities and job description for the Data Scientist position at Irvine Technology Corporation?
Data Scientist (Remote)
We have an immediate need for contract Data Scientist to join our client, a world-class medical center. The Data Scientist will derive insights from the vast amounts of patient & environmental data available within the center’s data warehouse.
Location : Remote working Pacific Time Zone hours
This job expects to pay about $70 – 80 per hour plus benefits.
What You Will Do :
Develop and implement algorithms on existing data warehouse records and may nominate new external data sources to be ingested to the data warehouse to strengthen analyses.
Analyses will address a wide variety of clinical and research outcomes.
Research and implement state-of-the-art AI algorithms, apply off-the-shelf AI and data-centric tools, and collect, store, and maintain data.
Develop, test, and install new software applications, and enhance functionality of existing applications, for artificial intelligence and machine learning.
Design, develop, and implement artificial intelligence algorithms, and build scalable production systems focused on clinical and research outcomes.
Identify creative uses of artificial intelligence and potential artificial intelligence innovations in health care research.
Collaborate with a team of programmers and informatics experts to address emerging client needs.
Collect and manage new datasets with bearing on artificial intelligence analyses of healthcare data.
What Gets You The Job :
4 years of experience and a Bachelors Degree in computer science, artificial intelligence, informatics or closely related field. Masters preferred.
Strong experience with Python for preprocessing, data analysis, machine learning and scripting.
Proven experience with TensorFlow, PyTorch or Keras for deep learning and complex machine learning including neural networks and advanced AI.
Experience with Scikit-learn for classical machine learning and Large Language Models (LLMs) for text generation, summarization, etc.
Proven ability using AWS SageMaker for end-to-end machine learning development, training, and scalable machine learning in a managed cloud environment.
NLP (Natural Language Processing) tool and framework experience such as Hugging Face or AWS Comprehend Medical for extracting insights from clinical text data.
Experience with XGBoost or LightGBM for gradient boosting in structured data.
Familiarity and experience with techniques for handling outliers, such as the z-score or IQR methods.
Experience with multiple machine learning models, beyond tree-based methods, and familiarity with handling imbalanced data problems using appropriate techniques.
Strong grasp of model evaluation metrics, including a correct understanding of the F1 score.
Experience with PDF to text conversion, NLP entity extraction, ML modeling.
Experience with data mining and statistical modeling (e.g. regression modeling, clustering techniques, decision trees, etc.).
Experience analyzing large data sets using programming languages (e.g. Python, R, SQL and / or Spark).
Strong SQL skills. Must have the ability to write complex, highly-optimized queries across large volumes of data. Generating and visualizing data-based insights in software such as Tableau.
Effective at communicating data-driven insights and conveying actionable recommendations to clinical and business leaders with little to no data science experience.
Healthcare knowledge with HL7, IDC-10 Coding, FHIR, or clinical terminologies is a plus.
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