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Remote Computational Biology Jobs in Silver Spring, MD

micro1 AI

Bioinformatics Software Engineer

Alexandria, VA · Remote

$80 - $110/hr

Computational Biology & Cheminformatics Expert Role Type: Contractor Location: Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer ...

micro1 AI

Bioinformatics Software Engineer

Washington, DC · Remote

$80 - $110/hr

Computational Biology & Cheminformatics Expert Role Type: Contractor Location: Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer ...

micro1 AI

Bioinformatics Software Engineer

Baltimore, MD · Remote

$80 - $110/hr

Computational Biology & Cheminformatics Expert Role Type: Contractor Location: Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer ...

Staffed4U

Biologicial Data Analyst

Chantilly, VA · On-site +1

Biology with a computational emphasis * Or a related quantitative life sciences discipline ... Hybrid Work Environment with remote and onsite work flexibility based on program requirements ...

CA&M, Inc

Program Director

Bethesda, MD · On-site +1

... computational biology. The Program Manager will provide overall leadership, direction, and ... This position will be contingent upon award and is expected to be a hybrid remote role with on-site ...

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Remote Computational Biology information

See Silver Spring, MD salary details

$50.1K

$97.2K

$138K

How much do remote computational biology jobs pay per year?

As of Aug 31, 2026, the average yearly pay for remote computational biology in Silver Spring, MD is $97,163.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,900.00 and $121,000.00 per year, depending on experience, location, and employer.

What is remote computational biology?

Remote computational biology is a field where scientists use computer-based techniques to analyze and model biological data, such as DNA sequences or protein structures, while working from locations outside of a traditional lab or office setting. This work often involves bioinformatics, data analysis, and simulation using specialized software and large datasets. Remote computational biologists collaborate with research teams online and can contribute to projects in areas like genetics, drug discovery, and systems biology from anywhere in the world. The role typically requires strong programming, statistical, and biological knowledge, as well as effective communication skills for virtual teamwork.

What are the key skills and qualifications needed to thrive as a remote computational biologist?

To thrive as a Remote Computational Biologist, you need a solid background in biology, statistics, and computer science, typically supported by an advanced degree in a related field. Proficiency in programming languages such as Python or R, experience with bioinformatics tools, and familiarity with data analysis platforms like Linux or cloud computing systems are essential. Strong problem-solving skills, self-motivation, and effective written communication are crucial for collaborating remotely and interpreting complex biological data. These skills enable accurate data analysis, effective remote teamwork, and meaningful scientific insights in computational biology projects.

What are some common challenges faced by remote computational biologists, and how can they be overcome?

Remote computational biologists often face challenges related to communication and collaboration, especially when coordinating with wet-lab teams or cross-functional groups. To overcome these hurdles, it's important to establish clear communication channels, participate in regular virtual meetings, and use collaborative platforms for project management and data sharing. Additionally, staying proactive in seeking feedback and clarifying project goals can help ensure alignment and productivity, even when working from different locations.

What are popular job titles related to Remote Computational Biology jobs in Silver Spring, MD?

For Remote Computational Biology jobs in Silver Spring, MD, the most frequently searched job titles are:

What job categories do people searching Remote Computational Biology jobs in Silver Spring, MD look for?

The top searched job categories for Remote Computational Biology jobs in Silver Spring, MD are:

What cities near Silver Spring, MD are hiring for Remote Computational Biology jobs?

Cities near Silver Spring, MD with the most Remote Computational Biology job openings:

Remote Computational Biology jobs near you
Infographic showing various Remote Computational Biology job openings in Silver Spring, MD as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $97,163 per year, or $46.7 per hour.

Cheminformatics Specialist - Remote

micro1 AI

Alexandria, VA • Remote

$80 - $110/hr

Part-time

Re-posted 23 hours ago

Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery 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 and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.

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