Mid Level Clinical Data Associate Jobs

Mid level clinical data associate jobs go to professionals ready to own data management workflows end to end, resolve database discrepancies with minimal oversight, and guide junior staff through study protocols. 37% of openings are remote or hybrid, with demand concentrated in Technology & Software, Consulting & Professional Services, and Investment & Asset Management and employers like Amazon, Capital One, and Deloitte hiring at this level now.

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Overview

Open roles1,015+
Top stateCalifornia
Top employerAmazon
Top citySan Francisco, CA
Work type63% On-site
Top industryTechnology

Showing 5 of 1,015+ Mid Level Clinical Data Associate jobs

Data Analyst
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New 24m ago
Data Analyst
RCR Technology
Indianapolis, Indiana
Data Science & Analytics
Business Analysis
Data Science
Data Analytics
On-Site
Bachelor's

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Senior Data Scientist
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New 1h ago
Senior Data Scientist
Ursus, Inc.
Redwood City, California
Data Science & Analytics
Data Science
Data Analytics
$130k - $160k/yr
Remote (US)
Master's

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Program Data Analyst
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New 1h ago
Program Data Analyst
Aledade
Michigan
Business Analysis
Healthcare Administration
On-Site
None

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Data Engineer
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New 2h ago
Data Engineer
ektello
Plano, Texas
Data Engineering
Data Science & Analytics
Cloud & DevOps
Data Science
$76.00/hr
On-Site
None

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Data Conversion Developer
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New 3h ago
Data Conversion Developer
Fiserv
Berkeley Heights, New Jersey
Software Engineering
Data Science & Analytics
Data Engineering
$90k - $144k/yr
On-Site
Bachelor's
10,000+

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Mid Level Clinical Data Associate Job Market

Who's Hiring

  • Amazon86
  • Capital One25
  • Deloitte23
  • JPMorganChase21
  • Turner & Townsend Pty Limited18

Top Industries Hiring

  • Technology & Software328
  • Consulting & Professional Services136
  • Investment & Asset Management69
  • Banking & Financial Services47
  • Retail43

Mid Level Clinical Data Associate Jobs: Frequently Asked Questions

How do I get a mid level clinical data associate job?

Position your experience around ownership, not just task completion. Highlight studies you managed from data collection through lock, discrepancies you resolved independently, and any cross-functional collaboration with biostatistics or clinical operations teams. Familiarity with EDC systems like Medidata Rave or Oracle InForm, along with working knowledge of CDISC standards, signals readiness for mid level responsibilities and sets your application apart.

Which companies hire mid level clinical data associates?

Companies hiring mid level clinical data associates right now include Amazon, Capital One, and Deloitte, based on current listings on Migrate Mate as of November 2026. Hiring at this level covers pharmaceutical sponsors, contract research organizations, and medical device companies with ongoing clinical trial programs.

Are there remote mid level clinical data associate jobs?

Yes, remote work is well established in clinical data management. About 37% of mid level clinical data associate openings are remote or hybrid as of November 2026, reflecting the field's reliance on cloud-based EDC platforms and secure data transfer tools that make location flexibility practical for most day-to-day responsibilities.

How do I move up to a mid level clinical data associate role?

Moving into a mid level role comes from accumulating hands-on experience with the full data lifecycle: query management, discrepancy resolution, database build review, and study closeout. Building proficiency in CDISC data standards, contributing to data management plans, and demonstrating that you can handle increasing complexity on a study with minimal guidance are the markers that signal readiness for mid level expectations.

Which industries hire the most mid level clinical data associates?

Mid Level clinical data associate roles concentrate in Technology & Software, Consulting & Professional Services, and Investment & Asset Management, based on current listings on Migrate Mate as of November 2026. These sectors drive consistent hiring because they run large volumes of regulated clinical trials that require experienced data professionals to maintain data integrity throughout the study lifecycle.