- +3
- +7
- United States
Über
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. This role is essential for the project"s success, requiring a data science professional with expertise in natural language processing (NLP) and machine learning (ML). The data scientist will be responsible for data acquisition from unstructured clinical documentation, designing and training the generative LLM, and evaluating model performance. Given the project"s grant-based, two-year timeline, a fixed-term position is required to support the specific aims outlined in the research plan. Responsibilities
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.). Design, develop, and evaluate predictive models and advanced algorithms to extract maximum value from the data. Generate and test hypotheses and analyze and interpret results. Qualifications
Education Bachelor's Degree in Related Field of Study required or Master's Degree in Related Field of Study preferred Experience Experience working in data science-type positions and with large data sets; 2-3 years preferred Knowledge, Skills And Abilities
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 and machine learning. Preferred SQL database management and administrative knowledge. Practiced knowledge of numerical optimization algorithms. Work Details
Remote Type : Hybrid Work Location : 55 Fruit Street Scheduled Weekly Hours : 40 Employee Type : Regular Work Shift : Day (United States of America) Pay Range : $73,798.40 - $107,400.80/Annual Grade : 6 Additional Information
At Mass General Brigham, we believe in recognizing and rewarding the unique value each team member brings to our organization. The base pay information provided offers an estimate based on the minimum job qualifications; it does not encompass all elements contributing to total compensation. We offer comprehensive benefits, career advancement opportunities, differentials, premiums and bonuses as applicable, and recognition programs. EEO Statement
The General Hospital Corporation is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure reasonable accommodations for individuals with a disability to participate in the job application or interview process, perform essential job functions, and receive benefits and privileges of employment. For accommodations related to the application process, contact Human Resources.
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Wünschenswerte Fähigkeiten
- Machine Learning
- PyTorch
- Python
- SQL
- Statistics
- Tableau
- TensorFlow
Berufserfahrung
- Machine Learning
- NLP
- Data Analyst
Sprachkenntnisse
- English