Hourly Project Assistant II (Data Science) – Health Research, Inc. (Menands, NY)
Quick Brief
- Full-Time
- Dental
- Medical
- Paid Time Off
- Retirement plan
- Vision
- $22 per hour
- Application Closes: June 19, 2024
Do you have a passion for public health and a knack for data analysis? Health Research, Inc. (HRI) is seeking an enthusiastic Hourly Project Assistant II to join our team! In this important role, you’ll play a vital role in transforming public health data programs developed during COVID-19.
What We Do
HRI is a non-profit organization dedicated to enhancing the health and well-being of New York State residents. We collaborate with the Department of Health (DOH), Roswell Park Comprehensive Cancer Center, and other partners to achieve this goal.
About the opportunity
We’re currently working on an exciting project to transition public health data programs from manual processes to a cutting-edge, AI-driven platform. This will improve efficiency, security, and long-term maintainability. As part of our professional data team, you’ll assist senior research scientists in developing and implementing powerful machine learning (ML) and deep learning (DL) models for various public health applications.
What You’ll Do
- Participate in the entire data science lifecycle, from data collection and cleaning to exploration, feature engineering, model training, evaluation, and deployment.
- Gain experience with Natural Language Processing (NLP) techniques to analyze public health text data like medical records, treatment narratives, and clinical trial reports.
- Stay up-to-date on the latest advancements in ML, DL, and NLP for public health applications, and present your findings to the team.
- Collaborate effectively with data engineers, software engineers, public health professionals, and machine learning engineers to integrate ML models seamlessly into HRI’s public health initiatives.
- Ensure clear and concise code documentation for future reference.
- Communicate technical concepts to both technical and non-technical audiences, including public health professionals.
You’re a Perfect Fit If You Have
- An undergraduate or graduate degree in computer science, information technology, data science, statistics, mathematics, public health, or a related field (currently enrolled students are welcome to apply).
- (Preferred) experience and/or coursework in computer science or data analytics with strong skills in data structures, algorithms, and software design.
- Coding proficiency in Python (familiarity with libraries like NumPy, Pandas, Scikit-Learn, TensorFlow, and PyTorch) is a plus.
- Experience with structured and unstructured data analysis techniques, including data cleaning, storage, manipulation, and visualization, particularly for public health data.
- A solid understanding of fundamental machine learning and deep learning concepts (supervised learning, unsupervised learning, neural networks).
- Familiarity with popular language model architectures (e.g., BERT, GPT).
- An interest in natural language processing and its applications in public health.
- Experience collaborating with a diverse team of data scientists, software engineers, and program managers.
- Excellent communication and collaboration skills.
- A strong work ethic and a passion for leveraging data science and machine learning to improve public health outcomes.
Benefits
- Competitive hourly wage (grant-funded position expected to last through August 30, 2024).
- Opportunity to make a real difference in public health.
- Gain valuable experience working on cutting-edge AI projects.
- a collaborative and supportive work environment that values your contributions.
Eligibility
- Valid and unrestricted authorization to work in the U.S. (visa sponsorship is not available).
- Ability to report to the official work location and commute or telecommute as needed.
HRI is an Equal Opportunity Employer committed to diversity, equity, and inclusion. We value a variety of backgrounds and experiences in our workforce.
Join us and make a lasting impact on public health! Apply now