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Remote Data Entry Research Jobs in Missouri (NOW HIRING)

$112K - $148K/yr

Research and stay up to date on tech market trends and practices * Lead technical initiatives not ... Build and manage cloud-based data ecosystems on GCP (BigQuery, Bigtable, Dataproc, Pub/Sub, Cloud ...

Quality Assurance Analyst

Louisiana, MO · On-site +1

$55K - $65K/yr

... data entry, analysis, documentation, presentations, and calculations. * Ability to manage priorities, meet deadlines, and work independently in a remote team environment. Preferred Education ...

Convenient Travel to Remote Projects: Company-provided air transportation from Central Missouri to ... Maintain consistency in estimating processes and data entry * Represent the company professionally ...

Showing results 41-60

Remote Data Entry Research information

What is the difference between Remote Data Entry Research vs Remote Data Entry?

AspectRemote Data Entry ResearchRemote Data Entry
Primary FocusResearching and verifying data sources, gathering informationInputting and updating data into systems
Skills NeededResearch skills, data verification, internet proficiencyTyping speed, accuracy, basic computer skills
Work EnvironmentMostly independent, online research tasksData input tasks, often repetitive
Common EmployersResearch firms, data companies, online platformsBusinesses, data management companies, online marketplaces

Remote Data Entry Research involves researching and verifying data sources, requiring research skills and internet proficiency. In contrast, Remote Data Entry focuses on inputting and updating data, emphasizing typing speed and accuracy. Both roles are remote, but their core tasks differ significantly, catering to different skill sets and employer needs.

Are any remote data entry research jobs legit?

Remote data entry research jobs are legitimate opportunities when offered by reputable companies and require skills such as accuracy and familiarity with data management tools. Job seekers should verify the company's credibility and be cautious of scams that ask for upfront payments or personal information.

Are there actually remote data entry research jobs?

Remote data entry research jobs are available and typically involve inputting and verifying data from home using tools like spreadsheets and databases. These roles often require attention to detail, basic computer skills, and sometimes specific software knowledge, making them accessible to many job seekers seeking flexible work arrangements.
Infographic showing various Remote Data Entry Research job openings in Missouri as of July 2026, with employment types broken down into 84% Full Time, 5% Part Time, and 11% Contract. Highlights an 42% In-person, and 58% Remote job distribution.

Digital Chemistry Specialist - Remote

micro1 AI

Independence, MO • Remote

$90 - $120/hr

Part-time

This job post has expired today. Applications are no longer accepted.


Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.