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Background Researcher Jobs in Kentucky (NOW HIRING)

Strong theoretical and empirical research background * Fluency with a deep learning framework and Python Nice to Have Experience * Contributions to research communities and efforts, such as ...

Strong theoretical and empirical research background * Fluency with a deep learning framework and Python Nice to Have Experience * Contributions to research communities and efforts, such as ...

About HireRight HireRight is the premier global background screening and workforce solutions ... Strong computer skills, including online research, MS Office, and other applications * Ability to ...

Research Analyst

Lexington, KY ยท On-site

$17.76 - $28.43/hr

Posting Details Job Title Research Analyst Requisition Number RE55272 Working Title Department Name ... These screenings may include a national background check and/or drug screen.

Showing results 21-40

Background Researcher information

What does a background researcher do?

A Background Researcher is responsible for gathering, verifying, and analyzing information about individuals, organizations, or topics to support decision-making, due diligence, or investigative processes. Their work often involves checking public records, media reports, social media, and other databases to ensure the accuracy and reliability of the information provided. Background Researchers are commonly employed in industries such as journalism, law, corporate hiring, and security services, where accurate background information is crucial. They must possess strong analytical skills, attention to detail, and a commitment to ethical research practices.

What is the difference between Background Researcher vs Data Analyst?

AspectBackground ResearcherData Analyst
Required CredentialsBachelor's degree in social sciences, research methods, or related fieldsBachelor's or higher in statistics, mathematics, or data science
Work EnvironmentResearch firms, government agencies, academic institutionsCorporate, finance, healthcare, or tech industries
Employer & Industry UsageUsed for gathering background info, verifying facts, and supporting investigationsUsed for interpreting data, creating reports, and informing business decisions
Common Search & Comparison IntentUnderstanding research roles, job requirements, and career pathsComparing data analysis skills, tools, and job functions

While both roles involve working with information, a Background Researcher focuses on collecting and verifying background information for investigations or research projects. In contrast, a Data Analyst interprets data sets to generate insights and support decision-making. Both roles require analytical skills and research abilities but serve different purposes within organizations.

What are the key skills and qualifications needed to thrive as a background researcher?

To thrive as a Background Researcher, you need strong analytical skills, attention to detail, and a background in research or investigative fields, often supported by a relevant degree. Familiarity with online databases, public records systems, and research management tools is typically required. Excellent written communication, discretion, and persistence help you stand out in gathering and reporting sensitive information. These skills ensure thorough, accurate, and ethical background checks, which are crucial for informed decision-making in hiring, security, or due diligence processes.

How does a background researcher typically collaborate with other departments during the research process?

Background Researchers frequently work closely with departments such as editorial, legal, and production. They gather, verify, and organize information based on requests from these teams to ensure accuracy and compliance in content or reporting. Regular communication and clear documentation are crucial, as researchers must provide timely updates and adapt to shifting project priorities. This collaborative dynamic helps maintain high standards of credibility and efficiency in the final output.

What are popular job titles related to Background Researcher jobs in Kentucky?

For Background Researcher jobs in Kentucky, the most frequently searched job titles are:

Infographic showing various Background Researcher job openings in Kentucky as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, and 3% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution.

Research Scientist Intern (2025)

Whiterabbit.ai

Lexington, KY โ€ข On-site

Other

Re-posted 26 days ago


Job description

We are looking for a Research Scientist Intern to push the state of the art of our AI models. As a Research Scientist Intern at Whiterabbit.ai, you will:

  • Play a key role in architecting the algorithms and models that will power our products
  • Train on a dedicated high-performance compute cluster specialized for deep learning research
  • Work with doctors and healthcare professionals to identify serious problems and leverage their domain expertise to build robust solutions
  • Remain an active contributor to the research community by partnering with universities and publishing high impact papers

Who we are:

Our mission at Whiterabbit.ai is to save lives and eliminate suffering through the early detection of cancer with artificial intelligence. We collaborate closely with one of the top medical schools in the country and have exclusive access to one of the worldโ€™s largest cancer datasets with millions of images. We invent algorithms that make doctors more productive, more accurate, and more capable. We build products and services with a relentless focus on transforming the patientโ€™s healthcare experience.

Responsibilities

  • Develop highly scalable classifiers and detectors that solve real-world problems
  • Learn and understand a large body of research in deep learning and machine learning
  • Participate in cutting-edge research for medical applications of computer vision

Must Have Experience

  • Experience with deep learning and convolutional networks
  • Strong theoretical and empirical research background
  • Fluency with a deep learning framework and Python

Nice to Have Experience

  • Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML, and ICLR
  • Large scale machine learning experience working with terabytes of data
  • Implemented custom operations/modules in a deep learning framework
  • Imagination, ambition, and curiosity