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Remote Bioinformatics Jobs in Washington (NOW HIRING)

Black Canyon Consulting

Engineering Team Leader

Bethesda, MD · On-site +1

$109K - $144K/yr

There is the possibility of 1 day/week as remote work. This position functions as a Technical ... Master of Science degree in engineering, computer sciences, information systems, bioinformatics, or ...

CA&M, Inc

Program Director

Bethesda, MD · On-site +1

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

Booz Allen Hamilton, Inc.

Solution Architect

Bethesda, MD · On-site +1

$67.50 - $88.75/hr

Remote Work: Hybrid Job Number: R0245305 Location: Bethesda,MD,US Share job via: Share Solution ... Master's degree in CS, Engineering, Information Systems, or Bioinformatics * Cloud, Cyber, AI, or ...

Digital Infuzion

Proposal Specialist

Rockville, MD · Remote

At Digital Infuzion, we harness innovative healthcare solutions and cutting-edge bioinformatics to ... This is a remote position supporting our corporate headquarters in Rockville, MD. We are looking ...

Digital Infuzion

Proposal Specialist

Rockville, MD · On-site +1

At Digital Infuzion, we harness innovative healthcare solutions and cutting-edge bioinformatics to ... This is a remote position supporting our corporate headquarters in Rockville, MD. We are looking ...

GRVTY

Technical Scientist - SME

Springfield, VA · On-site +1

Conduct multi-platform remote sensing analytics across varied sensors, collection geometries, and data streams. * Support the full TCPED process for OPIR - from tasking and collection planning ...

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All JobsBioinformatics JobsRemote Bioinformatics JobsRemote Bioinformatics Jobs in Washington

Remote Bioinformatics information

See Washington salary details

$67.4K

$107K

$169.3K

How much do remote bioinformatics jobs pay per year?

As of Aug 17, 2026, the average yearly pay for remote bioinformatics in Washington is $107,001.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,400.00 and $146,700.00 per year, depending on experience, location, and employer.

What is remote bioinformatics?

A Remote Bioinformatics job involves analyzing biological data using computational tools and techniques while working from a location outside of a traditional office, such as from home. Professionals in this field work with large datasets, develop algorithms, and create software to interpret genetic, genomic, or proteomic information. These roles are commonly found in research institutions, biotech companies, and healthcare organizations. Strong programming, data analysis, and biological domain knowledge are essential for success in this role.

What are the key skills and qualifications needed to thrive in remote bioinformatics?

To thrive as a Remote Bioinformatics professional, you should have a strong background in computational biology, statistics, and programming (often with languages such as Python or R), supported by an advanced degree in a relevant field. Familiarity with bioinformatics tools (e.g., BLAST, GATK, Bioconductor), version control systems like Git, and experience with cloud-based computing platforms is highly valued. Excellent problem-solving abilities, clear written communication, and independent time management skills help you excel in remote and collaborative environments. These competencies are crucial for delivering accurate and timely insights from complex biological datasets while effectively working with geographically dispersed teams.

What are some typical challenges faced when working remotely in bioinformatics?

Working remotely in bioinformatics often means managing large datasets and complex analyses without immediate in-person support, which requires strong troubleshooting abilities and self-sufficiency. Collaborating with cross-disciplinary teams—such as biologists, clinicians, and data scientists—demands proactive communication and regular virtual meetings to ensure project alignment. Time zone differences and asynchronous workflows can also present coordination challenges, but they offer flexibility in managing your workload. Keeping up with the latest bioinformatics tools and research is essential and often involves continuous self-directed learning. With these factors in mind, remote bioinformatics roles can be both rewarding and flexible for those skilled at independent work and digital collaboration.

What are the most commonly searched types of Bioinformatics jobs in Washington?

The most popular types of Bioinformatics jobs in Washington are:

What are popular job titles related to Remote Bioinformatics jobs in Washington?

For Remote Bioinformatics jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Remote Bioinformatics jobs in Washington look for?

The top searched job categories for Remote Bioinformatics jobs in Washington are:

What cities in Washington are hiring for Remote Bioinformatics jobs?

Cities in Washington with the most Remote Bioinformatics job openings:

Remote Bioinformatics jobs near you
Infographic showing various Remote Bioinformatics job openings in Washington as of August 2026, with employment types broken down into 51% Full Time, 42% Part Time, 2% Temporary, and 5% Contract. Highlights an 39% Physical, 2% Hybrid, and 59% Remote job distribution, with an average salary of $107,001 per year, or $51.4 per hour.

AI Training Specialist - Cheminformatics

micro1 AI

Alexandria, VA • Remote

$80 - $110/hr

Part-time

Posted 15 days 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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