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Data Engineer / Clinical Data Engineer (Remote)

Think Next LLC Los Angeles, CA

  • Expired: over a month ago. Applications are no longer accepted.
Job Description

Responsibilities

·         Collaborate with stakeholders to understand data requirements for ML, Data Science and Analytics projects.

·         Assemble large, complex data sets from disparate sources, writing code, scripts, and queries, as appropriate to efficiently extract, QC, clean, harmonize and visualize Big Data sets.

·         Write pipelines for optimal extraction, transformation, and loading of data from a wide variety of data sources using Python, SQL, Spark, AWS, and Azure ‘big data’ technologies.

·         Identify, design, and implement continuous process improvements such as automating manual processes and optimizing data delivery.

·         Document data processes, write data management recommended procedures, and create training materials relating to data management best practices.

 

Required Qualifications

·         Previous experience performing data engineering tasks on RWD/RWE projects involving Electronic Medical Records (EMR) data

·         Experience with defining clinical protocols to collect RWD

·         Fluency in Python with strong knowledge of standard data science toolkits

·         Advanced SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.

·         Familiarity with healthcare data standards, data ontologies, toolchains, and operating procedures

·         An associate who is independent, self-motivated, and eager to excel in a goal-oriented and multi-faceted work environment.

·         Someone who embraces uncertainty and thrives by driving to clarity in a fast-paced ambiguous environment

·         Excellent written and verbal communication skills and the ability to clearly articulate project goals, timelines, and key milestones, and accomplishments to stakeholders.

Think Next LLC

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Address

Los Angeles, CA
90004 USA

Industry

Technology

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