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Job Description

Join us as we translate today's discoveries into tomorrow's medicine!

The Research Data Scientist in the Tatonetti Lab at Cedars-Sinai will conduct research to improve drug safety by leveraging clinical and molecular data. In the Tatonetti Lab we use advanced data science methods, including artificial intelligence and machine learning, to investigate drug safety, drug-drug interactions, and cancer pharmacology. Using emerging resources, such as electronic health records (EHR) and genomics databases, we are working to advance the science of pharmacology with a focus on serving traditionally underrepresented populations.

To learn more, visit TLab – Data-Driven Drug Safety (tatonettilab.org).

Are you ready to be a part of breakthrough research?

The Research Data Scientist participates in biomedical research projects using programming, data-mining, statistics, machine learning, and visualization techniques to develop, evaluate, and/or apply algorithms and software for data analysis. Responsibilities include querying databases, data processing, supervised and unsupervised machine learning, deploying production models, and 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:

+ 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).

+ Creates sustainable data science infrastructure and adheres to data analysis/machine learning best practices.

+ Performs exploratory data analysis to gauge the need for or appropriateness of advanced analytical methods.

+ Works with senior or lead 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 Sciences, Machine Learning, Applied Mathematics, Econometrics, Statistics, Engineering, Physics, or related field, required. Master's degree, preferred.

Experience and Skills:

+ Two to five (2-5) 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.

+ Experience in biomedical machine learning is preferred.

+ Collaborates to problem solve and make decisions to achieve desired outcomes.

+ Cultivates and maintains strong customer relationships and rapport with stakeholders and/or client groups.

+ Working knowledge of data privacy and security including best practices for data with personal health identifiers (PHI) covered under HIPAA.

+ Good interpersonal and communication skills including scientific writing. And has full command (verbal and written) of the English language.

+ Demonstrates commitment to customer service and an ability to meet the needs and expectations of patients and health care colleagues.

+ Demonstrated success working independently, forging relationships, and managing multiple tasks with minimal directions.

+ Ability to promote and foster participation/collaboration among individuals and groups.

+ Ability to handle multiple demands and/or manage complex and competing priorities.

+ Ability to analyze qualitative and quantitative information for research.

+ High level of proficiency using Microsoft Windows and other Microsoft Office software: MS Excel, Outlook, Powerpoint Word, etc.

+ Must be able to manage competing priorities, while being extremely adaptable and flexible and maintaining a positive work environment.

About Us

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.

About the Team

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.

**Req ID** : 11947

**Working Title** : Research Data Scientist (Per Diem) - Tatonetti Lab - Data-Driven Precision Pharmacology

**Department** : Computational Biomedicine

**Business Entity** : Cedars-Sinai Medical Center

**Job Category** : Information Technology

**Job Specialty** : Bus Intelligence/Reporting

**Overtime Status** : NONEXEMPT

**Primary Shift** : Day

**Shift Duration** : 8 hour

**Base Pay** : $45.56 - $77.45

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.