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Hourly Project Assistant II (JR-0000872)

Responsibilities

The Hourly Project Assistant II will be part of a professional data team supporting efforts to transform public health data programs/procedures developed rapidly during COVID that require significant manual updates and maintenance by the Department of Health (DOH)staff into an AI-driven platform that is more efficient, secure, and maintainable. The incumbent will provide support to senior research scientists in developing and implementing ML/DL models for public health applications, such as medical language processing, healthcare text data mining, suspected drug overuse classification, infectious disease prediction, and electronic health anomaly detection; participate in and assist with the entire data science lifecycle for public health data, including data collection, cleaning, exploration, feature engineering, model training, evaluation, and deployment; gain experience with NLP techniques to analyze public health text data, like medical records, diagnosis and treatment narratives, and clinical trial reports; exploring cutting-edge advancements in ML/DL and NLP for public health, presenting findings to the team; communicate technical concepts to both technical and non-technical audiences, including public health professionals. The incumbent will also collaborate with data engineers, machine learning engineers, software engineers, and public health professionals to ensure the successful integration of ML models into HRI's public health initiatives; maintain and document code in a clear and concise manner.

Minimum Qualifications

Undergraduate or Graduate Student enrolled in Computer Science, Information Technology, Data Science, Statistics, Mathematics, Public Health or related field.

Preferred Qualifications

Demonstrated experience and/or coursework with computer science or data analytics with strong competencies in data structures, algorithms, and software design. Coding skills in Python (familiarity with libraries like NumPy, Pandas, scikit-learn, TensorFlow, PyTorch). Experience with structured and unstructured data analysis techniques, including data cleaning, storage, manipulation, and visualization, particularly for public health data. Strong understanding of fundamental machine learning and deep learning concepts (supervised learning, unsupervised learning, neural network). Familiarity with popular language model architectures (e.g., BERT, GPT). Interest in natural language processing and its applications in public health. Experience collaborating with data scientists, software engineers, and program managers. Excellent communication and collaboration skills. Strong work ethic and a passion for improving public health outcomes through data science and machine learning.

Conditions of Employment
Grant funded, hourly position expected to last through 08/30/2024. Compliance with funding requirements such as time and effort reporting, grant deliverables, and contract deliverables, is required.

Valid and unrestricted authorization to work in the U.S. is required. Visa sponsorship is not available for this position.

This position requires that the incumbent will report to the official work location and live within commuting distance to the official work location. Telecommuting will be available.

HRI participates in the E-Verify Program.

HRI has a long-standing dedication to diversity, equity, and inclusion in our workforce. HRI is committed to the principle of non-discrimination in all phases of its employment procedures and practices.

Affirmative Action/Equal Opportunity Employer/Qualified Individuals with Disabilities/Qualified Protected Veterans