Research Associate Data Scientist

2 weeks ago

California, United States Cedars-Sinai Full time

Job 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?

The Research Associate 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 Python, R, C++).
  • Creates sustainable data science infrastructure and adheres to data analysis/machine learning standard processes.
  • Performs exploratory data analysis to gauge the need for or appropriateness of advanced analytical methods.
  • Works with senior or lead data scientists, research programmers, and principal investigators to identify areas where data science can best be applied to answer biomedical research questions.
  • Tests and validates code to ensure adaptability of data applications.
  • Performs all other duties as assigned.

Department-Specific Responsibilities:

  • Participates in the development of innovative algorithms and analytical methods.
  • Participates in the evaluation and interpretation of all analytical methods and results.
  • Participates in the oral and written communication of scientific results including publications.
  • Participates in analytical training activities for faculty, staff, and students.

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:

  • Up to two (2) years of professional experience in healthcare industries working with electronic medical record/medical imaging data.
  • Experience programming at an intermediate to advanced skill level with a high-level programming language such as Python, C++, or R.
  • Experience in healthcare machine learning is preferred.

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

Req ID : 3249

Working Title : Research Associate Data Scientist -Dept of Orthopaedics

Department : Dept of Orthopaedics

Business Entity : Cedars-Sinai Medical Center

Job Category : Information Technology

Job Specialty : Bus Intelligence/Reporting

Overtime Status : EXEMPT

Primary Shift : Day

Shift Duration : 8 hour

Base Pay : $ $64.02

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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