Research Data Scientist, Tatonetti Lab

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.

The Research Data Scientist in the Tatonetti Lab at Cedars-Sinai will conduct research to improve translational cancer research 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 and to improve the cancer clinical trials process. 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.

Primary Duties and Responsibilities

• Creates sustainable data science infrastructure and adheres to data analysis/machine learning best practices.
• Performs all other duties as assigned.
• Tests and validates code to ensure robustness of data applications with version control through GitHub.
• Creates database-to-deployment pipelines for models using the necessary programming languages (primarily R, Python, SQL).
• Performs exploratory data analysis to gauge the need for or appropriateness of advanced analytical methods.
• Assists with the presentation and communication of scientific results through laboratory meetings, scientific conferences, and peer-reviewed publications.
• 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.
• 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.

Requirements:

• Experience working with Cancer data modalities
• Bachelor's Degree - computer science, machine learning, applied mathematics, econometrics, statistics, engineering, physics, or related discipline.

Preferred:

• 2-5 years professional experience in healthcare or pharmaceutical industries working with biomedical data
• 2-5 years of experience in biomedical machine learning is preferred
• Master's Degree - computer science, machine learning, applied mathematics, econometrics, statistics, engineering, physics, or related discipline.
• Experience programming at a basic to intermediate proficiency level in SQL
• Experience programming at an intermediate skill level with a high-level programming language such as R or Python. College projects may be acceptable.

Physical Demands:

Standing, Walking, Sitting, Lifting 50 lbs. Carrying 50 lbs. Pushing 50 lbs. Pulling 50 lbs. Reaching, Handling, Grasping, Feeling, Talking, Hearing, Repetitive Motions, Eye/Hand/Foot Coordination

Working Title: Research Data Scientist, Tatonetti Lab
Department: Cancer Institute
Business Entity: Cedars-Sinai Medical Center
Job Category: Family & Function,Cedars-Sinai Medical Center,Family & Function,Cedars-Sinai Medical Center
Job Specialty: UNASSIGNED
Position Type: Full-time
Shift Length: 8 hour shift
Shift Type: Day
Base Pay:$45.56 - $77.45