Location: Gates,NY, USA
This program requires US CitizenshipRemoteThe Data Scientist is responsible for leading a public health research project using an artificial intelligence (AI)–driven approach to community contact tracing and exposure notification specifically designed to enhance disease control within medical facilities. This project leverages existing electronic health record (EHR) data and advanced cloud computing resources to automate and enhance the tracking of patient-provider interactions and the prediction of potential pathogen spread within healthcare facilities.Job Responsibilities Include Using an open source patient data generation tool to develop synthetic, time-dependent electronic health records that simulate interactions and evaluation of privacy preserving mechanisms.Automating the tracking of all patient-provider interactions within a facility, using EHR data to create a dynamic graph of potential transmission pathways.Implementing tokenization techniques to enable interaction data analysis while safeguarding patient and provider privacy.Applying Graph Modeling and Learning Linked Prediction to create predictive model for the spread of infectious diseases.Applying unsupervised learning techniques in training and refining the predictive model.Developing advanced analytics to assign risk scores based on predefined risk thresholds.Leading the development of an alert system based on predefined risk scores and ability to reverse tokenization based on policy and human-in-the-loop oversight.Requirements PhD in Data Science, Statistics, Applied Mathematics, Computer Science, Engineering, Public Health, Epidemiology, Biostatistics, or related disciplines.Master's degree holder with exceptional research accomplishments (e.g. multiple peer reviewed publications) may be considered.6+ years of experience in data science research.3+ years of developing machine learning models.Expert knowledge in statistical methods, machine learning algorithms, and data visualization techniques.Strong working knowledge of synthetic-data generation, preferably in health use cases.Hands on experience developing predictive models using Graph Neural Network and Learning Link Prediction.Experience of using tokenization to preserve privacy.Proficiency in languages like Python, R, or SQL is essential.Expert in developing numerical solutions to time-dependent and nonlinear partial differential equations, which are useful for simulating risk score propagation.3+ years of experience supporting software development using Docker and AWS.Familiar with Amazon HealthLake and associated technologies.A team player with strong leadership, communication, and problem-solving skills to work effectively with a diverse range of stakeholders, including public health officials, data scientists, healthcare providers, and policymakers.Demonstrated ability to lead large, interdisciplinary research projects, including managing teams, deliverables, and timelines.Understanding of ethical considerations & privacy issues related to AI/ML.Experience working in an agile development environment.Preferred Requirements Experience working with PII and PHI data.Experience working with FHIR based Electronic Health Records system.Experience with research projects in Health or Public Health setting.Knowledge of public health infrastructure, policies, and regulatory requirements.Strong working knowledge of Synthea or other open source, synthetic patient generator that models the medical history of synthetic patients.Publications in scientific journals.Experience working in a federal agency.Position Details Pay Rate / Range: $50-$65.06The above salary range represents the range expected for the position; however, final salary offers are based on a number of factors such as the position's responsibilities; the candidate's experience, education, and skills; location; travel required; and current market conditions.Benefits (Regular, Full Time Employees) Medical, Dental, and Vision offerings.Weekly Direct Deposit.Paid Holidays and Personal Time Off.401(k) with match.Voluntary Life and AD&D, Short / Long Term Disability, plus other voluntary coverages.Pre-Paid Legal and Employee Assistance Programs.Northwest Federal Credit Union Membership.BB&T @ Work Program.ABBTECH is an EOE/Minorities/Women/Disabled Individuals/Veteranstag#IND1#J-18808-Ljbffr