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HomeCompaniesHdkk Fa Us6 Oraclecloud Com CX 2001Research Data Scientist - Ajami Lab - Department of Neurology

Research Data Scientist - Ajami Lab - Department of Neurology

Hdkk Fa Us6 Oraclecloud Com CX 2001 · Los Angeles, CA, United States; Pacific Design Center, West Hollywood, CA, US · On Site · Active · Oracle Recruiting Cloud / Fusion HCM

Job facts

FieldValue
CompanyHdkk Fa Us6 Oraclecloud Com CX 2001
TitleResearch Data Scientist - Ajami Lab - Department of Neurology
Normalized title-
Department / teamCSMC 8020800 Research - Neurology
LocationLos Angeles, CA, United States
Work modelOn Site
Employment type-
Salary-
Statusactive
ATS providerOracle Recruiting Cloud / Fusion HCM
Posted / first seen2026-05-27 / 2026-05-31
Changed / last seen2026-06-04 / 2026-06-06

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Linked records

CompanyHdkk Fa Us6 Oraclecloud Com CX 2001
Source0cf6eada-2abe-405b-a726-303c9adf8347
ATS providerOracle Recruiting Cloud / Fusion HCM

Description

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. 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 and Skills: 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 R or Python. College projects may be acceptable. Experience programming at a basic to intermediate proficiency level in SQL. Organization 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. Company 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.

Full job record

Job ID811b133cb0071cd84f4ec1946f22e95a80dc8b64
Org IDba262c18-bc93-43ce-9b41-0e92a17bc240
Source ID0cf6eada-2abe-405b-a726-303c9adf8347
Board ID0cf6eada-2abe-405b-a726-303c9adf8347
Provideroracle_hcm
Provider Job Key17598
TitleResearch Data Scientist - Ajami Lab - Department of Neurology
Normalized Title
Statusactive
Activeyes
Location TextLos Angeles, CA, United States; Pacific Design Center, West Hollywood, CA, US
DepartmentCSMC 8020800 Research - Neurology
Team
Employment Type
Workplace Typeon_site
Remote Policy
CountryUnited States
RegionCA
CityLos Angeles
Salary RawDescription 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. 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 and Skills: 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 R or Python. College projects may be acceptable. Experience programming at a basic to intermediate proficiency level in SQL. Organization 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. Company 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.
Salary Min
Salary Max
Salary Currency
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Source URLhttps://hdkk.fa.us6.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_2001/job/17598
Apply URLhttps://hdkk.fa.us6.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_2001/job/17598
First Seen At2026-05-31 17:56:48Z
Last Seen At2026-06-06 19:06:32Z
Last Checked At2026-06-06 19:06:32Z
Last Changed At2026-06-04 10:24:47Z
Inactive At
Source Posted At2026-05-27 01:55:57Z
Source Updated At
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