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Remote Science Jobs in Seabrook, MD (NOW HIRING)

YO AI Labs

Medical Writer - Remote

Washington, DC · Remote

$50 - $90/hr

Remote Job Type: Contractor Pay: $50-$80/hour Job Overview We are seeking an experienced Medical ... Verify scientific accuracy using source data, TFLs (Tables, Figures, and Listings), and study ...

Digital Harbor Foundation

Research Scientist

Baltimore, MD · Remote

$120K - $150K/yr

... remote sensing and field data. This role specifically is for the internal development of data ... PhD in atmospheric science, geophysics, applied mathematics, computer science, or a closely related ...

Wri

Senior Water Data Scientist

Washington, DC · On-site +1

A BA or BS degree (Graduate Degree preferred) in a relevant field: environmental science (such as hydrology, ecology, or water resource management), geographic science (such as remote sensing and ...

RapidSoft Corp

Senior Data science Engineer - Remote

Reston, VA · On-site +1

$110K - $149K/yr

... science engineers in analyzing and understanding all aspects of data, including source, design, insight, technology and modeling • Develop and manage scalable data processing platforms for both ...

Booz Allen Hamilton, Inc.

Data Scientist

Alexandria, VA · On-site +1

$77K - $176K/yr

Remote Work: Hybrid Job Number: R0242719 Location: Alexandria,VA,US Share job via: Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets ...

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Showing results 21-40

All JobsScience JobsRemote Science JobsRemote Science Jobs in Seabrook, MD

Remote Science information

See Seabrook, MD salary details

$24.2K

$47.9K

$78.1K

How much do remote science jobs pay per year?

As of Sep 5, 2026, the average yearly pay for remote science in Seabrook, MD is $47,856.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,100.00 and $51,400.00 per year, depending on experience, location, and employer.

What is remote science?

Remote science jobs are positions in scientific fields that can be performed outside of traditional laboratory or office environments, typically from home or any location with internet access. These jobs may include roles in research, data analysis, scientific writing, consulting, or education. Advances in technology and communication tools have made it possible for scientists to collaborate, conduct experiments, and analyze data remotely. Remote science jobs offer flexibility and can help employers and employees reach a broader talent pool. Common areas include biology, chemistry, environmental science, and healthcare research.

What skills and qualifications are needed to thrive as a remote science professional?

To thrive as a Remote Science professional, you need a strong background in your scientific discipline, analytical skills, and typically a relevant degree or higher qualification. Familiarity with data analysis tools, virtual collaboration platforms, and scientific software such as Python, R, or MATLAB is important. Excellent written communication, time management, and self-motivation are standout soft skills in this remote environment. These abilities ensure effective research, collaboration, and productivity while working independently from various locations.

What are common challenges faced by professionals working in remote science roles, and how can they be addressed?

Professionals in remote science roles often face challenges such as effective communication across time zones, limited access to lab equipment, and maintaining collaboration with team members. To address these issues, it is helpful to establish regular virtual check-ins, utilize collaborative digital tools, and set clear expectations for project milestones. Many teams also adopt cloud-based data sharing and remote access to specialized software, ensuring that scientific work continues smoothly despite physical distance.

What is the difference between Remote Science vs Remote Data Analyst?

AspectRemote ScienceRemote Data Analyst
Required CredentialsScience degrees, research experience, technical skillsStatistics, data analysis certifications, technical skills
Work EnvironmentResearch labs, academic institutions, remote research projectsBusiness, finance, tech companies, remote data analysis roles
Employer & Industry UsageUniversities, research institutes, biotech firmsCorporations, consulting firms, tech startups
Search & Comparison IntentUnderstanding research roles, scientific projectsData analysis tasks, business insights

Remote Science and Remote Data Analyst roles share a focus on technical skills and remote work environments. However, Remote Science typically involves research, scientific experiments, and academic or biotech settings, while Remote Data Analysts focus on interpreting data for business insights in corporate environments. Both roles require analytical skills but differ in industry application and specific credentials.

What remote science jobs are there?

Remote science jobs include roles such as research scientists, data analysts, laboratory technicians, and scientific writers. These positions often require specialized knowledge, relevant degrees, and skills in data analysis, laboratory techniques, or scientific software, and may involve collaboration through digital communication tools.

What cities near Seabrook, MD are hiring for Remote Science jobs?

Cities near Seabrook, MD with the most Remote Science job openings:

Remote Science jobs near you
Infographic showing various Remote Science job openings in Seabrook, MD as of August 2026, with employment types broken down into 11% Internship, 75% Full Time, and 14% Part Time. Highlights an 100% Remote job distribution, with an average salary of $47,856 per year, or $23 per hour.

Data Scientist - AI/Splunk (Remote)

A.C.Coy Company

Arlington, VA • Remote

Full-time

Posted 2 days ago

New

Job description

Overview

  • Tier One Technologies is looking for a Data Scientist with an AI & Splunk expertise to support our direct US Government client.
  • This will be a 100% remote position.
  • SELECTED CANDIDATES WITHOUT REQUIRED CLEARANCE WILL BE SUBJECT TO A FEDERAL GOVERNMENT BACKGROUND INVESTIGATION TO RECEIVE IT.

Responsibilities

  • Analyze and model Incident, Problem, and Change trends to identify opportunities for service improvements.
  • Perform and interpret data studies and experiments involving new data sources or new uses for existing data sources.
  • Leverage Splunk dashboards, alerts, and search queries to detect, investigate, and resolve operational issues in real time.
  • Utilize cloud-native monitoring and observability tools (AWS CloudWatch, Google Cloud Operations, Azure Monitor) to identify and address performance gaps.
  • Develop analytics using data mining, statistical, forecasting, and modeling techniques.
  • Develop prototypes, proof of concepts, algorithms, predictive models, and custom analyses.
  • Determine new ways to improve data quality, search quality, and predictive capabilities.
  • Identify the right tools for data analysis, including tools external to the organization.
  • Leverage AI and machine learning to improve automation through data output, aggregation, analytics, algorithms, orchestration, and visualization.
  • Provide guidance and technical support to executives, contractors, and employees in other functional areas.
  • Enterprise Issue Identification & Solution Design
  • Proactively identify performance degradation, anomalies, and systemic issues across large enterprise systems using data-driven analysis.
  • Analyze API call patterns, response times, and latency trends to diagnose integration and performance issues across enterprise platforms.
  • Propose and document actionable solutions and remediation strategies for identified issues, working collaboratively with application, infrastructure, and network teams.

Qualifications

  • Bachelor's degree in Computer Science, IT, a related field, or equivalent experience.
  • 8+ years of related IT experience.
  • Hands-on experience with AI and cloud platforms.
  • Advanced proficiency in Splunk.
  • Solid understanding of network technologies and their impact on API performance and latency.
  • Excellent analytical & communication skills.
  • Must be able to obtain a Public Trust clearance.
  • All candidates must be a US Citizen or have permanent residence status (Green Card).
  • Candidate must have lived in the United States for the past 5 years.
  • Cannot have more than 6 months travel outside the United States within the last 5 years. Military Service excluded.

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