Position Details

Type Not Specified

Experience mid

Exp. Years 2+ years

Education MS or PhD in statistics, mathematics, computer science or other quantitative disciplines

Category Data & Analytics

About this role

This role involves developing and maintaining data pipelines and architectures to support clinical trial analytics and machine learning applications within a regulated healthcare environment.

Key Responsibilities

Collaborate with data scientists, develop data architectures, ensure data quality, support machine learning models, govern clinical data assets

Technical Overview

The technical scope includes programming in Python, Java, Scala, C++, working with clinical data standards, cloud platforms like AWS, Azure, GCP, and managing large-scale data architectures.

Ideal Candidate

The ideal candidate is a mid-level data engineer with 2+ years of experience in clinical trial data, proficient in programming languages like Python, Java, or Scala, and familiar with clinical data standards such as CDISC, SDTM, and ADaM. They should have experience working with cloud platforms and data pipelines in a regulated healthcare environment.

Must-Have Skills

Experience with clinical trial data standards (CDISCSDTMADaM)Programming experience in PythonJavaScalaor C++Data pipeline developmentData modeling and wranglingKnowledge of GCPAWSor Azure cloud platforms

Nice-to-Have Skills

Experience with clinical EDC platforms (Veeva Vault EDCMedidata Rave)Experience with Machine Learning applicationsData architecture designAutomation scriptingRegulatory compliance knowledge

Tools & Platforms

Veeva Vault EDCMedidata RaveCloud platforms (AWSAzureGoogle Cloud)

Required Skills

Data Engineerclinical trial datadata pipelinesdata wranglingdata modelingmachine learningCDISCSDTMADaMPythonJavaScalaC++cloud platformsVeeva Vault EDCMedidata Rave

Hard Skills

PythonJavaScalaCC++C#SwiftObjective CJavaScriptData flowData WranglingData ModelingMachine LearningData pipelinesDatabase architecturesData standardsCDISCSDTMADaM

Soft Skills

collaborationcommunicationproblem-solvingattention to detailbest practicesteamwork

Industry & Role

Industry Healthcare & Medical

Job Function Developing and managing clinical data pipelines and architectures for analytics and compliance

Role Subtype Data Engineer

Tech Domains Python, Java, Scala, C, C++, C#, Swift, Objective C, JavaScript, Data flow, Data Wrangling, Data Modeling, Machine Learning, Data pipelines, Database architectures, Data standards, CDISC, SDTM, ADaM

Keywords for Your Resume

Data Engineerclinical trial dataData flowData WranglingData ModelingMachine LearningData pipelinesDatabase architecturesCDISCSDTMADaMPythonJavaScalaC++C#Veeva Vault EDCMedidata Ravecloud platformsGCPAWSAzuredata pipelinesmachine learningdata wranglingdata modeling

Deal Breakers

Lack of experience with clinical trial data standards (CDISC, SDTM, ADaM), No programming experience in relevant languages, No experience with cloud platforms (AWS, Azure, GCP)

Apply for this Position →

Get matched to jobs like this

Luna finds roles that fit your skills and career goals — no endless scrolling required.

Create a Free Profile

Senior Data Engineer - Clinical Trial Data

Get matched to jobs like this