Data Scientist
1 month ago
The position will start immediately upon acceptance and employment clearance and is initially funded through 12/31/2024 with potential renewal.
Pay Rate:
$52.66/hr working 40 hours a week
Benefits:
Paid Holidays, Paid Sick Time, PTO
Healthcare
Employer Fully Funded Healthcare (Anthem Blue Cross), Dental and Vision, and Life Insurance start the first of the month following initial start month.
Shifts: Hybrid - 2 days a week in office in Los Angeles
Employee will be working a minimum of 8 hours a day between the hours of 7 AM to 7 PM. 2 days in office.
The duties of the Data Scientist include, but are not limited to:
Experience in one or more of these areas:
- Analyzing, designing, and formatting new or revising existing Laboratory Information System applications and associated test code definitions for analytical tests
- Developing, designing, and formatting management reports utilizing a report-writer program
- Implementing, modifying, and supporting electronic interfaces linking the Laboratory Information System to other information systems or instruments
- Designing and formatting Laboratory Information System applications and conducting system-verification tests to ensure the operational accuracy of data transmission related to database/client and equipment interfaces and test code reproducibility
- Modifying parameters of existing laboratory information applications to conform with updated test methodology or standard value ranges
- Maintaining and updating the master test file, user and client profiles, procedure and security-clearance files, and access user levels
- Developing and documenting backup procedures to ensure the viability and accessibility of laboratory information and operations in the event of a system malfunction
- A Bachelors degree from an accredited college in a field of applied research such as Data Science, Machine Learning, Mathematics, Statistics, Business Analytics, Psychology, or Public Health that included 12 semester or 18 quarter units of coursework in data science, predictive analytics, quantitative research methods, or statistical analysis -AND- Four (4) years of experience applying machine learning, predictive analytics, data management, and hypothesis-driven data analysis to produce actionable recommendations to support data-driven program, policy, and operational decision-making. A Masters or Doctoral degree from an accredited college or university in a field of applied research such Data Science, Machine Learning, Mathematics, Statistics, Business Analytics, Psychology, or Public Health may substitute for up to two (2) years of experience.
- A valid California Class C Driver License or the ability to utilize alternative method of transportation when needed to carry out job-related essential functions
- Proficiency in SAS / SAS Viya experience
- Knowledge of HL7 messages, National Electronic Disease Surveillance System (NEDDS) case reporting and Reportable Conditions Knowledge Management System (RCKMS).
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