Clinical Data Engineer- "Clinical Research AND Pharma experience is Mandatory"

Overview

Remote
$52 - $60
Contract - W2
Contract - Independent
Contract - 12 Month(s)

Skills

Python
R
"Synthetic Data"
"AI"
AWS
Azure
Databricks
Snowflake
"Clinical Trial Systems"

Job Details

We are seeking a skilled and motivated Clinical Data Engineer to join our data engineering team supporting clinical research and development initiatives. This role will focus on building and maintaining robust data pipelines to ingest, transform, and manage clinical trial and operational data across various sources and platforms. The ideal candidate has a strong background in data engineering within a life sciences, with experience supporting GxP or regulated data workflows.

Qualifications:

  • Bachelor s or Master s degree in Computer Science, Data Engineering, Life Sciences, or a related field.
  • 3+ years of experience in data engineering, preferably within clinical research, pharma, or healthcare domains.
  • Strong experience with ETL/ELT tools, data integration, and data ingestion pipelines.
  • Proficient in SQL, Python, and/or Scala for data engineering tasks.
  • Experience with cloud-based platforms such as AWS, Azure, or Google Cloud Platform, and tools like Databricks, Snowflake, or Apache Airflow.
  • Familiarity with clinical data standards (e.g., CDISC, SDTM) is strongly preferred.
  • Experience working in a regulated environment with knowledge of GxP, 21 CFR Part 11, and data privacy standards.

Preferred Skills:

  • Knowledge of clinical trial systems (e.g., Medidata, RAVE, Veeva Vault, Oracle Clinical).
  • Experience with data lakes, data warehouses, and modern data architecture concepts.
  • Familiarity with machine learning or data science frameworks is a plus.
  • Excellent communication and collaboration skills in a cross-functional, global environment.

Regards,

Raj Dakshinapu | Recruiter, Dotcom Team LLC

Phone:

Web: | Email:

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