Research Associate Data Scientist- Surgery Chair, Ruppin Lab
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About this role
Join us as we translate today's discoveries into tomorrow's medicine!
Are you ready to be a part of breakthrough research?
The Research Associate Data Scientist participates in biomedical research projects using programming, data -mining, statistics, machine -learning, and visualization techniques to develop, evaluate, and/or apply algorithms and software for data analysis. Responsibilities include querying databases, data processing, supervised and unsupervised machine learning, deploying production models, and communication of scientific findings via peer-reviewed publications and scientific conferences. Writes clean, performant, reusable code managed on GitHub to perform repeatable analyses and to train and deploy models to multiple environments.
Primary Duties & Responsibilities:
- Assists with the development, evaluation, and/or application of computational and statistical methods including artificial intelligence and machine learning algorithms and software for the analysis of biomedical data.
- Assists with the presentation and communication of scientific results through laboratory meetings, scientific conferences, and peer-reviewed publications.
- Creates database-to-deployment pipelines for models using the necessary programming languages (primarily R, Python, SQL).
- Creates sustainable data science infrastructure and adheres to data analysis/machine learning best practices.
- Performs exploratory data analysis to gauge the need for or appropriateness of advanced analytical methods.
- Works with senior or lead data scientists and principal investigators to identify areas where data science can best be applied to answer biomedical research questions.
- Keeps appropriate analytical records, documentation, and software version control.
- Performs all other duties as assigned.
Qualifications
Education:
- Bachelor's degree in Computer Sciences, Machine Learning, Applied Mathematics, Econometrics, Statistics, Engineering, Physics, or related field, required. Master's degree, preferred.
Experience and Skills:
- Up to two (2) years of professional experience in healthcare or pharmaceutical industries working with biomedical data.
- Experience programming at an intermediate skill level with a high-level programming language such as Python. College projects may be acceptable.
- Experience programming in R, Python, or Linux bash and genetics and genomics data analysis preferred.
- Experience in biomedical machine learning is preferred.
- Working knowledge of data privacy and security including best practices for data with personal health identifiers (PHI) covered under HIPAA.
- Strong interpersonal and communication skills. And has full command (verbal and written) of the English language.
- Demonstrates commitment to customer service and an ability to meet the needs and expectations of patients and health care colleagues.
- Demonstrated success working independently, forging relationships, and managing multiple tasks with minimal directions.
- Ability to promote and foster participation/collaboration among individuals and groups.
- Ability to handle multiple demands and/or manage complex and competing priorities.
- Ability to analyze qualitative and quantitative information for decision support.
- High level of proficiency using Microsoft Windows and other Microsoft Office software: MS Excel, Outlook, Powerpoint Word, etc.
Must be able to manage competing priorities, while being extremely adaptable and flexible and maintaining a positive work environment