Research Data Scientist - Urology, Hung Lab
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At a glance
Requirements
Credentials this posting asks for.
Job overview
The Research Data Scientist will join Dr. Andrew Hung’s team to conduct biomedical research using programming, data mining, statistics, machine learning, and visualization, leading algorithm development, model deployment, and communication of scientific findings through publications and conferences.
Skills & qualifications
Skills
Qualifications
Full 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.
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
Cedars-Sinai is an EEO employer. Cedars-Sinai does not unlawfully discriminate on the basis of the race, religion, color, national origin, citizenship, ancestry, physical or mental disability, legally protected medical condition (cancer-related or genetic characteristics or any genetic information), marital status, sex, gender, sexual orientation, gender identity, gender expression, pregnancy, age (40 or older), military and/or veteran status or any other basis protected by federal or state law.
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