Job Description The Role: The Data Scientist will play a vital role in providing insights for the cohort identification and manage the use of two vendor solutions, John Snow Labs and QuantPi. They will develop and implement advanced analytics techniques, and predictive modeling methodologies as part of the DPaaS initiative.  Text Data Collection and Preprocessing: Gathering, cleaning, and preprocessing text data from unstructured notes as part of DPaaS. This includes tasks such as tokenization, stemming, and handling text-specific challenges like dealing with different languages, slang, and abbreviations.  Model Development and Training: Designing, building, and training NLP models for de-identification of EMR data using techniques such as text classification, sentiment analysis, named entity recognition, machine translation, and language generation. This involves selecting appropriate algorithms, feature engineering, and fine-tuning model parameters.  Data Analysis and Insights: Analyzing data to extract meaningful insights and patterns that can inform business decisions. This includes performing statistical analysis, visualizing data, and communicating findings to stakeholders. Staying updated with the latest research and integrating state-of-the-art methods into projects.  Evaluation and Optimization: Evaluating NLP models using appropriate metrics (e.g., precision, recall, F1 score) and techniques (e.g., cross-validation, confusion matrix). Continuously optimizing models to improve accuracy, efficiency, and scalability. What will these models be used for?  Building out an identification pipeline for EMR  They have data stored in tabular form, variable and patient identifier  Reports (blood reports, attached notes) - those live as PDF/Text documents  Building pipeline where we extract from EMR within database, de-identify database based on rules, when individual comes in they'll pick up that project We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com .     To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ . Skills and Requirements Ph.D. in data science, statistics, or computer science OR equivalent  Background in Healthcare/familiar with healthcare data  5+ years of experience in NLP model development, validation, extraction, maintain and deployment & AWS  Managerial Experience (this role has opportunity to become a lead in future of team) null We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to HR@insightglobal.com.