Research Data Scientist - Urology, Hung Lab

Cedars-Sinai; West Hollywood (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Cedars-Sinai in West Hollywood seeks a Research Data Scientist to join a diverse team. The role involves biomedical research projects using programming, data mining, statistics, machine learning, and visualization to develop and deploy data analysis methods and software.

You will query databases, perform data cleaning, build and evaluate models, and communicate findings through publications and conferences.

Qualifications

• Bachelor's Degree in a relevant field (CS, ML, statistics, engineering) required.
• Master's Degree preferred in a related field.
• 2 years of healthcare or pharmaceutical biomedical data experience required.
• 2 years programming with a high-level language such as R or Python required.
• 2 years of SQL experience required.

Responsibilities

• Leads development and application of computational and statistical methods for biomedical data analysis.
• Presents results through laboratory meetings, conferences, and publications.
• Creates data pipelines and deployment-ready code using R, Python, SQL, and GitHub.
• Implements data cleaning, quality control, and exploratory data analyses to justify methods.

Education

Bachelor's Degree

Master's Degree

Tools

R

Python

SQL

Job description

Job Description

Dr. Andrew Hung is looking for a Research Data Scientist to join a diverse team! The Research Data Scientist participates in biomedical research projects using programming, data mining, statistics, machine learning, and visualization techniques to lead the development, evaluation, and/or application of algorithms, methods, and software for data analysis. Responsibilities include querying databases, data processing, data cleaning and quality control, supervised and unsupervised machine learning, parametric and nonparametric statistical methods, deploying production models, and leading the 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.

Principal Responsibilities

Leads 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.

Job Description

Dr. Andrew Hung is looking for a Research Data Scientist to join a diverse team! The Research Data Scientist participates in biomedical research projects using programming, data mining, statistics, machine learning, and visualization techniques to lead the development, evaluation, and/or application of algorithms, methods, and software for data analysis. Responsibilities include querying databases, data processing, data cleaning and quality control, supervised and unsupervised machine learning, parametric and nonparametric statistical methods, deploying production models, and leading the 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.

Principal Responsibilities

• Leads 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.
• Leads 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 best practices.
• Performs data cleaning, quality control, exploratory data analysis to gauge the need for or appropriateness of advanced analytical methods.
• Leads discussions with senior and/or lead research data scientists and principal investigators to identify areas where data science can best be applied to answer biomedical research questions.
• Tests and validates code to ensure robustness of data applications with version control through GitHub.
• Performs all other duties as assigned.

Qualifications

Education

Bachelor's Degree, computer science, machine learning, applied mathematics, econometrics, statistics, engineering, physics, or related discipline - Required.

Master's Degree, computer science, machine learning, applied mathematics, econometrics, statistics, engineering, physics, or related discipline- Preferred

Work Experience

2 years of professional experience in healthcare or pharmaceutical industries working with biomedical data – Required.

2 years of Experience programming at an intermediate skill level with a high-level programming language such as R or Python. College projects may be acceptable – Required.

2 years of Experience programming at a basic to intermediate proficiency level in SQL – Required.

No experience required Experience in biomedical machine learning is preferred