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Computational Scientist Remote Jobs in Silver Spring, MD

Analytica

Data Scientist - NLP

Washington, DC · On-site +1

This position is fully remote. Analytica has been recognized by Inc. Magazine as a fastest-growing ... computational model using Python. Strong candidates will explain various methods you have applied ...

Analytica

Data Scientist - NLP

Washington, DC · Remote

This position is fully remote. This is a temporary position with the potential to convert to a ... computational model using Python. Strong candidates will explain various methods you have applied ...

Analytica

Data Scientist - NLP

Washington, DC · Remote

This position is fully remote. This is a temporary position with the potential to convert to a ... computational model using Python. Strong candidates will explain various methods you have applied ...

micro1 AI

AI Trainer - Microbiology Expert

Baltimore, MD · Remote

$70 - $90/hr

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... computational contexts. * Utilize rubrics and established evaluation criteria to assess data ...

CA&M, Inc

Program Director

Bethesda, MD · On-site +1

... and scientific research in Animal Biosafety Levels 2, 3, and 4 environments; and bioinformatics and computational biology. The Program Manager will provide overall leadership, direction, and ...

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All JobsComputational Scientist JobsComputational Scientist Remote JobsComputational Scientist Remote Jobs in Silver Spring, MD

Computational Scientist Remote information

See Silver Spring, MD salary details

$52.2K

$115.1K

$142.1K

How much do computational scientist remote jobs pay per year?

As of Aug 8, 2026, the average yearly pay for computational scientist remote in Silver Spring, MD is $115,104.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,700.00 and $141,600.00 per year, depending on experience, location, and employer.

What is a computational scientist?

A Computational Scientist is a professional who uses advanced computing techniques, mathematical models, and simulations to solve complex problems in science and engineering. They develop algorithms, write code, and analyze large datasets to gain insights in fields like physics, biology, chemistry, and more. Working remotely, they collaborate with research teams, utilize high-performance computing resources, and often contribute to scientific publications. Their work is critical in accelerating discoveries and innovations by transforming raw data into actionable knowledge.

How do computational scientists collaborate with multidisciplinary teams in a remote work setting?

Computational Scientists often work closely with researchers, data analysts, and software engineers, even when working remotely. Effective collaboration typically involves regular virtual meetings, shared code repositories, and collaborative project management tools to ensure alignment on research goals and methodologies. Daily responsibilities may include discussing data findings, troubleshooting models, and integrating diverse expertise into computational solutions. Remote teams often leverage communication platforms to maintain a strong sense of teamwork and project momentum.

What is the difference between Computational Scientist Remote vs Data Scientist?

AspectComputational Scientist RemoteData Scientist
Required CredentialsAdvanced degrees in science, engineering, or related fields; programming skillsDegree in statistics, computer science, or related fields; programming and analytical skills
Work EnvironmentRemote, research-focused, often in scientific or technical industriesRemote or on-site, business or tech industries, data analysis focus
Employer & Industry UsageResearch institutions, scientific companies, government labsTech companies, finance, healthcare, consulting firms
Common Search & Comparison IntentUnderstanding roles, skills, and remote opportunitiesJob responsibilities, skills, and industry applications

While both roles involve data analysis and programming, Computational Scientists Remote focus on scientific research and simulations, often in research or technical industries. Data Scientists typically analyze business data to inform decisions. The roles overlap in skills like programming and statistical analysis but differ in industry focus and work environment.

What are the key skills and qualifications needed to thrive as a computational scientist in a remote role?

To thrive as a Computational Scientist remotely, you need a strong background in mathematics, programming (such as Python or C++), and domain-specific scientific knowledge, often supported by an advanced degree in a STEM field. Familiarity with high-performance computing environments, data analysis tools, and version control systems like Git is typically required. Excellent problem-solving, self-motivation, and effective virtual communication are crucial soft skills for remote collaboration and productivity. These competencies ensure accurate scientific modeling, efficient teamwork, and successful project outcomes in a distributed work setting.
What are popular job titles related to Computational Scientist Remote jobs in Silver Spring, MD? For Computational Scientist Remote jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Computational Scientist Remote jobs in Silver Spring, MD look for? The top searched job categories for Computational Scientist Remote jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Computational Scientist Remote jobs? Cities near Silver Spring, MD with the most Computational Scientist Remote job openings:
Computational Scientist Remote jobs near you
Infographic showing various Computational Scientist Remote job openings in Silver Spring, MD as of August 2026, with employment types broken down into 84% Full Time, 8% Part Time, and 8% Contract. Highlights an 100% Remote job distribution, with an average salary of $115,104 per year, or $55.3 per hour.

Medical Microbiology Consultant - Remote

micro1 AI

Washington, DC • Remote

$70 - $90/hr

Part-time

Posted 11 days ago

Job description

Role Title: Microbiologist


Role Type: Contractor


Location: Remote


micro1 is engaging Microbiologists to contribute their scientific expertise to a unique customer 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.


Key Responsibilities:

  1. Investigate and analyze the development, morphology, and behavior of microscopic organisms including bacteria, fungi, and algae.
  2. Contribute to the study of the relationship between microorganisms and disease, supporting projects involving medical microbiology.
  3. Assess the impact of antibiotics and other agents on microbial populations, providing insights for AI model accuracy.
  4. Document experimental findings and processes with a focus on clarity for AI training data.
  5. Collaborate with interdisciplinary teams to ensure scientific rigor and data integrity in AI development.
  6. Provide written and verbal expertise on microbiological phenomena and their relevance to real-world and computational contexts.
  7. Utilize rubrics and established evaluation criteria to assess data quality and support AI training workflows.


Required Skills and Qualifications:

  1. Bachelor’s degree or higher in Biology, Microbiology, Chemistry, or a related field.
  2. Extensive knowledge of bacterial, fungal, and algal systems.
  3. Demonstrated expertise in investigating microbial structure and physiology.
  4. Strong written and verbal communication skills for technical and interdisciplinary collaboration.
  5. Ability to document processes and findings clearly for integration into AI systems.
  6. Comfort working independently in a fully remote, digital-first environment.
  7. Attention to detail and commitment to scientific accuracy.


Preferred Qualifications:

  1. Prior experience developing or applying rubrics in scientific or educational contexts.
  2. Experience with AI, machine learning, or annotation projects related to biology or microbiology.
  3. Advanced degree (Master’s or PhD) in a relevant field.

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