Research Associate Data Scientist, Ajami Lab

About the Role

The Research Associate Data Scientist participates in biomedical research projects using programming, data-mining, statistics, machine learning, and visualization techniques to assist with the development, evaluation, and/or applications of algorithms, methods, and software for data analysis.

Key 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, neo4j).
• Creates sustainable data science infrastructure and adheres to data analysis/machine learning standards.
• Performs data cleaning, quality control, and exploratory data analysis to gauge the need for or appropriateness of advanced analytical methods.
• Assists research, senior research, and/or lead research data scientists and principal investigators to identify areas where data science can best be applied to answer biomedical research questions.
• Writes clean, performant, reusable code managed on GitHub to perform repeatable analyses and to train and deploy models to multiple environments.
• Tests and validates code to ensure adaptability of data applications with version control through GitHub.
• Queries databases.
• Conducts data cleaning and quality control.
• Performs supervised and unsupervised machine learning.
• Utilizes parametric and nonparametric statistical methods.
• Deploys production models.
• Assists with the communication of scientific findings via peer-reviewed publications and scientific conferences.

Requirements & Tech Stack

• Programming experience at an intermediate skill level with a high-level programming language such as R or Python. College projects may be acceptable.
• Programming experience at a basic to intermediate proficiency level in SQL.
• Experience with GitHub for code management and version control.
• Experience with neo4j is mentioned as a required programming language for creating pipelines.

Qualifications

• Education:
• Bachelor's degree in Computer Science, Machine Learning, Applied Mathematics, Biomedical Imaging, Statistics, Engineering, Physics, or related field, required.
• Master's degree in these fields is preferred.
• Experience:
• Up to two (2) years of professional experience in healthcare or pharmaceutical industries working with biomedical data.
• Experience in biomedical machine learning is preferred.