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Data Scientist 440 views

Job Description


Job Title: Data Scientist

Work location: Los Angeles, CA 90032


  • Hybrid, local preferred; will consider those willing to relocate.
  • Salary Range: $120,000 – $175,000 (exempt)
  • Work hours: 8-5 pm
  • 2 -3 steps Video/ Teams interview process


  • We are seeking a Data Scientist to derive insights from the vast amounts of patient and environmental data available within our data warehouse.
  • To achieve this goal, novel and creative machine learning and statistical analyses are needed.
  • The incumbent will work closely with researcher teams to design analysis specifications, including input data specifications, data cleaning, algorithms, and interpretation of results.
  • The incumbent will develop and implement algorithms on existing data warehouse records and may nominate new external data sources to be ingested to the data warehouse to strengthen analyses.
  • Analyses will address a wide variety of clinical and research outcomes.
  • The incumbent will research and implement state-of-the-art AI algorithms, apply off-the-shelf AI and data-centric tools, and collect, store, and maintain data.
  • The successful candidate will have demonstrated competence in developing highly scalable artificial intelligence systems with multiple dependencies across teams.

Minimum Education:

  • BS in computer science, artificial intelligence, informatics, or closely related field.
  • MS preferred.

Minimum Experience/Accountabilities:

  • 2-5 years required experience

Basic Qualifications: Proven experience with:

  • Artificial intelligence and machine learning
  • Advanced analytics and business intelligence
  • Python programming
  • R, SQL and other DBMS

Additional Qualifications: Proven experience with:

  • Clinical informatics and healthcare data
  • Technical writing
  • Jupyter notebooks
  • SAS, Stata, SPSS
  • AWS environment and tools
  • Sagemaker, TensorFlow, Kafka
  • Spark, Hadoop
  • Develop, test, and install new software applications, and enhances functionality of existing applications, for artificial intelligence and machine learning
  • Design, develop, and implement artificial intelligence algorithms, and build scalable production systems focused on clinical and research outcomes
  • Identify creative uses of artificial intelligence and potential artificial intelligence innovations in health care research
  • Collaborate with a team of programmers and informatics experts to address emerging client needs
  • Collect and manage new datasets with bearing on artificial intelligence analyses of healthcare data
  • Create new experimental frameworks to collect data, build tools to automate data collection
  • Correlate similar data to find actionable results and search through large data sets for usable information
  • Create reports and presentations on analysis results
  • Remain current on trends in informatics, machine learning, and artificial intelligence for healthcare

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