Research Data Scientist - Ajami Lab - Department of Neurology at Cedars-Sinai

Los Angeles, California, United States -

Full Time

Start Date

Immediate

Expiry Date

25 Aug, 26

Salary

161096.0

Posted On

27 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Programming, Data Mining, Statistics, Machine Learning, Data Visualization, R, Python, SQL, Neo4j, GitHub, Biomedical Data Analysis, Algorithm Development

Industry

Hospitals and Health Care

Description

Grow your career at Cedars-Sinai! Data is vital to advance clinical knowledge across a spectrum of medical and surgical fields. Are you ready to transform data discoveries into valuable information, which will empower tomorrow's medicine? Dr. Bahareh Ajami invites you to consider this Research Data Scientist opportunity to join her dynamic team! About the Team The Ajami Lab is establishing a new research program at Cedars-Sinai focused on immune mechanisms driving neuro-degeneration, with a particular emphasis on ALS and microglial biology. About the Role 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. Primary Duties & 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 standards. * 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. Cedars-Sinai is a leader in providing high-quality healthcare encompassing primary care, specialized medicine and research. Since 1902, Cedars-Sinai has evolved to meet the needs of one of the most diverse regions in the nation, setting standards in quality and innovative patient care, research, teaching and community service. Today, Cedars- Sinai is known for its national leadership in transforming healthcare for the benefit of patients. Cedars-Sinai impacts the future of healthcare by developing new approaches to treatment and educating tomorrow's health professionals. Additionally, Cedars-Sinai demonstrates a commitment to the community through programs that improve the health of its most vulnerable residents. Cedars-Sinai is one of the largest nonprofit academic medical centers in the U.S., with 886 licensed beds, 2,100 physicians, 2,800 nurses and thousands of other healthcare professionals and staff. Choose this if you want to work in a fast-paced environment that offers the highest level of care to people in the Los Angeles that need our care the most.

Responsibilities

Lead the development and application of computational and statistical methods to analyze biomedical data for neuro-degeneration research. Responsible for creating data pipelines, performing quality control, and communicating scientific findings through publications and conferences.