Apex Systemshas an excitingNLP Data Scientistopportunity for our client, a world-renowned, nonprofit health care provider in theGreater Pittsburgh region!This role is crucial for advancing their mission to operationalizeDPaaS.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 LabsandQuantPi.They will develop and implement advanced analytics techniques, andpredictive modeling methodologiesas part of the DPaaS initiative. **Ideal candidates will have a PhD or MD and a background in healthcare.** If you or someone you know is interested in hearing more please send all resumes to [email protected] for immediate consideration. Location: Hybrid (onsite twice monthly in Pittsburgh, PA) Length:Contract to Hire Hourly Rate:$75-$80/hr W-2 Conversion Salary: $140k/yr NLP Data Scientist, Analytics & Informatics Executive Summary In support of the Data Platform as a Service, we are looking to hire a (NLP) Data Scientist within our Analytics & Informatics team! Key Activities
- 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.
Qualifications:
- PhD/MD or equivalent in data science, statistics, or computer science
- 5+ years of experience in NLP model development, validation and deployment, with managerial experience.
Thank you, Amanda Alburger | [email protected] Professional Recruiter - Applications & Data Management Apex Systems EEO Employer Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at [email protected] or 844-###-#### . Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing® in Talent Satisfaction in the United States and Great Place to Work® in the United Kingdom and Mexico.