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Remote Data Acquisition Jobs (NOW HIRING)

Role Overview This role supports the Consumer Data Acquisition team and is responsible for managing ... Remote U.S. (Eastern Time zone Preferred) The below range reflects the range of possible ...

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Remote Data Acquisition information

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$46K

$165K

$243.5K

How much do remote data acquisition jobs pay per year?

As of Sep 6, 2026, the average yearly pay for remote data acquisition in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is remote data acquisition?

Remote data acquisition jobs involve collecting, monitoring, and analyzing data from various sources without being physically present on-site. Professionals in this field use specialized software, devices, and communication networks to access real-time or stored data from remote locations. These roles are common in industries like environmental monitoring, energy, manufacturing, and IT, where sensors or systems transmit data to centralized platforms. Responsibilities often include configuring data acquisition systems, ensuring data quality, troubleshooting connectivity issues, and reporting findings to stakeholders.

What are the key skills and qualifications needed to thrive as a remote data acquisition specialist?

To thrive as a Remote Data Acquisition Specialist, you need a strong background in data collection methodologies, analytical skills, and experience with data management, often supported by a degree in computer science, information systems, or a related field. Proficiency with data acquisition tools, APIs, web scraping technologies, and familiarity with database systems like SQL are typically required. Attention to detail, problem-solving skills, and effective remote communication are valuable soft skills for this role. These competencies ensure accurate data gathering, efficient workflow, and reliable collaboration with distributed teams.

What are some common challenges faced by professionals in remote data acquisition roles, and how can they be managed?

Professionals in remote data acquisition often face challenges such as ensuring data accuracy from decentralized sources, maintaining secure data transmission, and managing technical issues without on-site support. To overcome these, it's important to establish clear data validation protocols, use reliable remote monitoring tools, and maintain regular communication with both technical and non-technical team members. Building strong documentation habits and participating in virtual training sessions can also help address these challenges effectively.

What is the difference between Remote Data Acquisition vs Remote Data Collection?

AspectRemote Data AcquisitionRemote Data Collection
Primary FocusGathering data from various sources, often involving specialized tools and technical processesCollecting data directly from individuals or sources, often through surveys or forms
Required SkillsTechnical skills, data analysis, familiarity with data acquisition toolsCommunication skills, survey design, data entry
Work EnvironmentTechnical settings, remote or on-site labs, fieldworkRemote, office, or field environments
Common IndustriesResearch, engineering, data servicesMarket research, social sciences, healthcare

Remote Data Acquisition involves technical processes to gather data from various sources, often requiring specialized skills. In contrast, Remote Data Collection focuses on gathering data directly from individuals or sources, typically through surveys or forms. Both roles are essential in data-driven industries but differ in methods and skill requirements.

More about Remote Data Acquisition jobs

What cities are hiring for Remote Data Acquisition jobs?

Cities with the most Remote Data Acquisition job openings:

What are the most commonly searched types of Data Acquisition jobs?

The most popular types of Data Acquisition jobs are:

What states have the most Remote Data Acquisition jobs?

States with the most job openings for Remote Data Acquisition jobs include:

Infographic showing various Remote Data Acquisition job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Acquisition Specialist - External Data (Remote/Homebased)

IQVIA Holdings

Remote

Other

Re-posted 10 days ago


IQVIA rating

8.1

Company rating: 8.1 out of 10

Based on 53 frontline employees who took The Breakroom Quiz

62nd of 226 rated it services


Job description

Data Acquisition Specialist

The Data Acquisition Specialist performs activities relating to the definition, set-up and ingestion of External Data Streams, and related documents and processes aligned with Clinical Trial Protocol defined requirements for data capture.

External data streams include but are not limited to typical and novel data collected through central labs and ECG, medical imaging, biomarker and genomics analysis, real world data sources, EHR, electronic patient reported outcomes, wearables and sensors and other digital data collection technologies.

Deliverables

  • Execute deliverables for Standardized External Data Streams.
  • Assess external data collection requirements per protocol and planning of external data stream set-up activities and related deliverables to meet study start-up timelines.
  • Liaise with key data stakeholders to establish the purpose of data collection and requirements for the transfer, ingestion, and structure of data for each data stream in compliance with applicable data protection laws and regulations, utilizing available standards and templates
  • Create change requests for the definition of new test concepts or data structures relating to external data.
  • Develop trial-specific Data Transfer Agreements (tsDTA's) accurately documenting study requirements and methods for the data transfer, ingestion, and structure.
  • Ensure data transfer frequencies are sufficient for the agreed requirements (medical data review, central monitoring, and reporting and analysis).
  • Liaise with external data providers to ensure alignment and agreement of tsDTA.
  • Translate medical and scientific concepts into data mapping guidance, per agreed data model and documented in the annotated Data Transfer Agreement for use by Clinical programmers.
  • UAT of test data transfers ensure accuracy and consistency with data specifications defined in Data Transfer Agreements.
  • Implement data transfer mechanisms for external data streams (into CDR) including access for external data providers.
  • Monitor availability and accuracy of external data streams, liaise with external data providers to resolve data transfer issues relating to conformance of data.

Education and Experience Requirements

  • Bachelor's degree or equivalent, preferably in Computer Science.
  • Minimum of 3 years' experience managing data in support of clinical research.
  • Experience working with external data e.g., Safety Lab, PK, Simple Biomarkers, ECG, etc
  • Experience in working with external data providers within a clinical study setting.
  • Experience developing data transfer agreements.
  • Experience working on clinical trials.
  • Experience working in highly diverse teams within clinical research; cross-functional, global, multiregional.
  • Knowledge of SDTM.
  • Working knowledge of GCP/ICH guidelines
  • Excellent written and verbal communication in English.

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About IQVIA

Sourced by ZipRecruiter

At IQVIA, we are passionate about helping customers and partners improve results and patient outcomes. Everything we do contributes to this vision for creating a healthier world. In today’s healthcare environment, it’s not only about how much data, information, and technology you have at your fingertips – it’s what you do with it. IQVIA is focused on making intelligent connections for customers across the entire healthcare ecosystem to help you drive healthcare forward. Whether that means partnering with novel technology companies to boost patient engagement, leveraging AI & machine learning to accelerate results, or using decentralized trials to reach the right patients wherever they are – we are always looking for smarter ways to move you forward.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Durham, NC, US