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Remote Science Communication Jobs in Washington (NOW HIRING)

Elder Research

Data Scientist

Arlington, VA · On-site +1

Collaborate and Communicate: Interface with internal teams and external client stakeholders to ... remote, flexible environment. * Advanced degree (MS or PhD) in statistics, computer science, data ...

Lead Science

Territory Sales Director

Rockville, MD · Remote

Lead Science is a division of DealerOn, an industry leading digital business enabler to the ... communication (written and verbal), follow-through, and meeting deadlines #LI-Remote The base ...

SAIC

Data Scientist

Springfield, VA · Remote

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description The Data Scientist will apply ... Policy and Communications Support: Assist in supporting Policy Business Operations, including ...

MNF Global

Remote - Patent Agents

Fairfax, VA · Remote

$280K - $350K/yr

... Science, Mechanical Engineering or Physics. Strong writing and client communication skills; Ability ... remote environment. Benefits Top Benefits

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Remote Science Communication information

What is the difference between Remote Science Communication vs Remote Science Writing?

AspectRemote Science CommunicationRemote Science Writing
Required CredentialsScience degrees, communication skills, possibly certifications in science communicationScience degrees, strong writing skills, possibly certifications in technical or scientific writing
Work EnvironmentVirtual, often involves multimedia, presentations, and public engagementPrimarily virtual, focused on creating written content like articles, reports, and manuals
Employer & Industry UsageResearch institutions, science media outlets, educational organizationsScientific publishers, research organizations, educational platforms
Search & Comparison IntentUnderstanding roles involving science communication and outreachLooking for scientific writing opportunities and content creation roles

Remote Science Communication focuses on conveying scientific concepts through various media and engaging audiences, while Remote Science Writing emphasizes creating written scientific content. Both roles require science backgrounds but differ in their primary output and communication methods.

What are the key skills and qualifications needed to thrive as a Remote Science Communicator, and why are they important?

To thrive as a Remote Science Communicator, you need a strong background in science, excellent writing or multimedia communication skills, and at least a bachelor's degree in a relevant field. Familiarity with digital communication tools, content management systems, and social media platforms is typically required, and certifications in science communication or digital marketing can be beneficial. Exceptional soft skills include creativity, adaptability, and the ability to translate complex scientific concepts into accessible language. These skills are crucial for effectively engaging diverse audiences and ensuring accurate dissemination of scientific information in a remote environment.

What is remote science communication?

Remote science communication involves sharing scientific information, research, and discoveries with diverse audiences using digital platforms, rather than in-person events. Professionals in this field may create content for websites, social media, podcasts, webinars, or virtual conferences, aiming to make complex scientific topics accessible and engaging. This role requires strong communication skills, science literacy, and the ability to use digital tools effectively. Remote science communicators often collaborate with researchers, educators, and media outlets from anywhere in the world.

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

One common challenge in remote science communication is ensuring clear and engaging messaging without face-to-face interaction, which can make it harder to gauge audience understanding. Collaborating across time zones and managing effective communication with scientists and stakeholders can also be complex. To address these, remote science communicators often rely on regular virtual meetings, collaborative tools, and clear documentation of project goals and feedback. Building a strong digital presence and adapting content for different online platforms are also key strategies for success in this role.
What are the most commonly searched types of Science Communication jobs in Washington? The most popular types of Science Communication jobs in Washington are:
What are popular job titles related to Remote Science Communication jobs in Washington? For Remote Science Communication jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Remote Science Communication jobs in Washington look for? The top searched job categories for Remote Science Communication jobs in Washington are:
What cities in Washington are hiring for Remote Science Communication jobs? Cities in Washington with the most Remote Science Communication job openings:
Remote Science Communication jobs near you
Infographic showing various Remote Science Communication job openings in Washington as of June 2026, with employment types broken down into 72% Full Time, 22% Part Time, and 6% Contract. Highlights an 100% Remote job distribution.
Data Scientist

Data Scientist

Elder Research

Arlington, VA • On-site, Remote

Full-time

Posted 4 days ago

Job description

Data Scientist

General Information

Requisition # 694

Locations USA-VA-Arlington OR USA-NC-Raleigh

Posting Date 05/08/2026

Security Clearance Required - NONE

Remote Type Hybrid

Time Type Full time

Description & Requirements

Elder Research Inc., a wholly owned subsidiary of MANTECH International Corporation, seeks a motivated, career and customer-oriented Data Scientist to join our team in Raleigh, NC or Washington DC. This role is hybrid, and candidates must be located in the Raleigh or Washington, DC market to support 1–2 days onsite per week.

This role is for a highly experienced and curious data scientist to lead the full-lifecycle development and deployment of analytical solutions at Elder. You will operate as a critical member of an analytics team, acting as a trusted advisor to diverse client partner team. The focus is on leveraging advanced analytical methods to turn ambiguous business challenges into high-impact, production-ready models, supported by robust data engineering practices.

Responsibilities include but are not limited to:

  • Lead Data Science Initiatives: Dive deep into complex and often nebulous requirements, applying expertise in areas such as time series forecasting and Natural Language Processing (NLP) to build, train, and maintain predictive models. Additionally, candidate should be capable of leading and mentoring more junior data scientists.
  • Problem Solver and Consultant: Engage in critical requirements gathering and data "sleuthing" (approximately 10-20% of the role) to connect business use cases with underlying data patterns. You will carve your own path to define and solve problems that lack clear initial definitions.
  • Deliver Automation and Insights: Partner with technical and non-technical groups to identify manual processes and provide recommendations for automation, including building models for functions like anomaly detection and case prediction.
  • Full-Lifecycle Ownership: Utilize data engineering skills to integrate and deploy your analytical solutions, ensuring scalability and operational reliability. This includes troubleshooting deployment issues as needed.
  • Collaborate and Communicate: Interface with internal teams and external client stakeholders to effectively communicate technical findings, maintain strong relationships, and ensure delivery aligns with overall objectives.

Minimum Qualifications:

  • 5+ years of experience as a Data Scientist.
  • Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, business, or social sciences
  • Proficiency in Python, including libraries for data analysis and modeling.
  • Strong SQL experience to facilitate deep dives and analysis of complex datasets.
  • Strong hands-on experience with AWS services, Sagemaker, Lambda, Step Functions, Glue, S3, and Athena, used to build and manage production data pipelines.
  • Knowledge of CI/CD pipelines, version control (Git), and Infrastructure-as-Code.
  • Familiarity with logging, monitoring, and alerting using CloudWatch or similar tools.
  • Understanding of IAM roles, policies, and security best practices for AWS services.
  • Curiosity and a passion for exploring data to understand business context and connect technical work to real-world impact.
  • Willingness to learn new tools/techniques.

Preferred Qualifications:

  • Familiarity with AWS Cloud Development Kit (CDK) and/or Typescript.
  • Exceptional comfort with ambiguity and a proven ability to define and drive projects from vague concepts to concrete outcomes.
  • Strong consultative and communication skills, capable of representing the team effectively to clients.
  • Ability to work autonomously in a fully remote, flexible environment.
  • Advanced degree (MS or PhD) in statistics, computer science, data science, mathematics, analytics, engineering, or related fields; experience applying advanced statistical concepts including sampling considerations, bias detection, weighting techniques, handling missing or outlier data, exploratory analysis, and longitudinal forecasting; and understanding of the data analytics lifecycle (e.g., CRISP-DM)

About Elder Research, Inc - People Centered. Data Driven

Elder Research considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.

If you need a reasonable accommodation to apply for a position with Elder Research, please email us at careers@elderresearch.com and provide your name and contact information.

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