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Remote Bioinformatics Jobs in Gaithersburg, MD (NOW HIRING)

Staffed4U

Biologicial Data Analyst

Chantilly, VA · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

In this role, you will perform biological data analysis and bioinformatics to support the ... Hybrid Work Environment with remote and onsite work flexibility based on program requirements ...

BCC-NIH

Software Developer (C++, Python)

Bethesda, MD · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Bioinformatics and Big Data to support our work at the National Institutes of Health. This opportunity is full time and onsite at the NIH in Bethesda, MD and/or remote work. We attract the best ...

Black Canyon Consulting

Senior Software Developer (C++)

Bethesda, MD · On-site +1

$58.25 - $77/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Overview Black Canyon Consulting (BCC) is searching for a Sr. Software Developer in Bioinformatics ... This opportunity is full time and onsite at the NIH-NCBI in Bethesda, MD and/or remote work. NCBI ...

Black Canyon Consulting

Engineering Team Leader

Bethesda, MD · On-site +1

$109K - $144K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

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All JobsBioinformatics JobsRemote Bioinformatics JobsRemote Bioinformatics Jobs in Gaithersburg, MD

Remote Bioinformatics information

See Gaithersburg, MD salary details

$64.3K

$102.1K

$161.5K

How much do remote bioinformatics jobs pay per year?

As of Aug 16, 2026, the average yearly pay for remote bioinformatics in Gaithersburg, MD is $102,075.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,900.00 and $139,900.00 per year, depending on experience, location, and employer.

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 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 the most commonly searched types of Bioinformatics jobs in Gaithersburg, MD?

The most popular types of Bioinformatics jobs in Gaithersburg, MD are:

What are popular job titles related to Remote Bioinformatics jobs in Gaithersburg, MD?

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

What job categories do people searching Remote Bioinformatics jobs in Gaithersburg, MD look for?

The top searched job categories for Remote Bioinformatics jobs in Gaithersburg, MD are:

What cities near Gaithersburg, MD are hiring for Remote Bioinformatics jobs?

Cities near Gaithersburg, MD with the most Remote Bioinformatics job openings:

Remote Bioinformatics jobs near you
Infographic showing various Remote Bioinformatics job openings in Gaithersburg, MD as of August 2026, with employment types broken down into 61% Full Time, 36% Part Time, and 3% Contract. Highlights an 54% Physical, 3% Hybrid, and 43% Remote job distribution, with an average salary of $102,075 per year, or $49.1 per hour.

Bioinformatics Software Engineer

micro1 AI

Washington, DC • Remote

$80 - $110/hr

Part-time

Posted 13 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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