Data Scientist 116 views

Job Description

Job Title: Data Scientist

Work location: Los Angeles, CA 90032

Duration: DIRECT HIRE

• 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

Summary:

• 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