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Research Associate Data Scientist - Urbanowicz Lab - Computational Biomedicine

Los Angeles, California

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Responsibilities

Requisition # HRC0940402

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

The Department of Computational Medicine (CBM) is a robust infrastructure established to develop, evaluate, and apply cutting-edge computational and statistical methods and software for the analysis of biomedical and clinical data across the Cedars-Sinai enterprise.

Are you ready to be a part of breakthrough research?

The URBS-lab focuses on the development and application of machine learning, artificial intelligence, and statistical methodologies targeting a variety of domains and data types within biomedical research. Emphasis is placed on developing methods that are interpretable/explainable, scalable to ‘big data’, and capable of detecting complex patterns of association. Current research focuses on automated machine learning, rule-based modeling, feature selection, and evolutionary optimization. Other areas of interest include (but are not limited to) rare-variant analysis, data simulation, data integration, heterogeneous patient subgroup identification, time-series analysis, deep learning, and identifying and correcting for biases. We are a highly collaborative lab with access to EHR, genomic, and other ‘omics’ data in areas of research such as obstructive sleep apnea, congenital heart disease, pancreatic cancer, transplantation donor-recipient matching, and hospital readmission.

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 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.

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.

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:

  • Up to 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 Python. College projects may be acceptable.
  • Experience programming at a basic to intermediate proficiency level in SQL.
  • Experience in biomedical machine learning is preferred.
  • Working knowledge of data privacy and security including best practices for data with personal health identifiers (PHI) covered under HIPAA.
  • Strong interpersonal and communication skills. And has full command (verbal and written) of the English language.
  • Demonstrated 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 decision support.
  • 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.
  • Working Title: Research Associate Data Scientist - Urbanowicz Lab - Computational Biomedicine
  • Department: Computational BioMedicine
  • Business Entity: Academic / Research
  • City: Los Angeles
  • Job Category: Information Technology
  • Job Specialty: Business Intelligence/Reporting
  • Position Type: Full-time
  • Shift Length: 8 hour shift
  • Shift Type: Day

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. If you need a reasonable accommodation for any part of the employment process, please contact us by email at Applicant_Accommodation@cshs.org and let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address.

Cedars-Sinai will consider for employment qualified applicants with criminal histories, in accordance with the Los Angeles Fair Chance Initiative for Hiring.

At Cedars-Sinai, we are dedicated to the safety, health and wellbeing of our patients and employees. This includes protecting our patients from communicable diseases, such as influenza (flu) and COVID-19. For this reason, we require that all new employees receive a flu vaccine based on the seasonal availability of flu vaccine (typically during September through April each year) as a condition of employment, and annually thereafter as a condition of continued employment, subject to medical exemption or religious accommodation. For the same reason, you may also be required to receive other vaccines such as COVID-19 as a condition of employment. Cedars-Sinai reserves the right to make modifications to its required list of vaccines as required by law and/or policy.

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