Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham. We are seeking a highly skilled and motivated Research Data Scientist to join our team on a two-year, fixed-term basis, with a possible extension depending on performance and grant funding. The successful candidate will play a pivotal role in developing a novel, open-source large language model for extracting and contextualizing clinical information from electronic medical records (EMR) using natural language queries. Our research project seeks to decrease the resource intensity of obtaining data from electronic medical records (EMR) by developing an open-source large language model (LLM) for natural language querying.
Requirements
- Extensive knowledge of natural language processing (NLP) and large language models (LLMs).
- Proficiency with deep learning frameworks such as PyTorch or TensorFlow.
- Ability to create reports and dashboards with Tableau.
- Skilled in data analysis with Python and SQL.
- Knowledge of statistics.
- Knowledge of machine learning.
- Preferred SQL database management and administrative knowledge.
Responsibilities
- Responsible for analyzing data, uncovering the underlying data patterns and logic, and developing data-driven applications.
- They will work towards developing solutions for the entire problem-solving cycle: find/prioritize the problems, research the best algorithms to solve the problems, design robust, practical solvers, and implement them.
- Analyze complex and high-dimensional clinical and operational data for dependencies, patterns, outliers, inaccuracies, and validity.
- Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and/or advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries.
- Contribute to the design and evaluation of optimal data-driven metrics (such as physician/facility performance criteria, bottleneck metrics, productivity limits, processing delay/error reports, etc.).
- Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data.
- Generate and test hypotheses and analyze and interpret the results.
Other
- Bachelor's Degree Related Field of Study required or Master's Degree Related Field of Study preferred
- Experience working in data science-type positions and with large data sets 2-3 years preferred
- Remote Type Hybrid
- Work Location 55 Fruit Street
- Scheduled Weekly Hours 40
