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Remote Bioinformatics Programmer Jobs in Virginia

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

Biologicial Data Analyst

Chantilly, VA · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

... programming language for biological data analysis. * Experience using standard bioinformatics tools ... Hybrid Work Environment with remote and onsite work flexibility based on program requirements ...

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Remote Bioinformatics Programmer information

What is a remote bioinformatics programmer?

A Remote Bioinformatics Programmer is a professional who designs, develops, and maintains software tools and algorithms for analyzing biological data, such as DNA, RNA, and protein sequences, while working from a location outside of a traditional office. They collaborate with biologists, researchers, and other team members through digital platforms to support scientific studies, often in genomics, biotechnology, or pharmaceutical research. Their work typically involves programming in languages like Python, R, or Java, managing large datasets, and ensuring the accuracy and efficiency of computational methods. Remote Bioinformatics Programmers need strong analytical, coding, and communication skills to effectively contribute to research projects from afar.

How do remote bioinformatics programmers typically collaborate with research teams across different time zones?

Remote Bioinformatics Programmers often work closely with multidisciplinary research teams, including biologists, statisticians, and software engineers, who may be distributed globally. Collaboration is usually facilitated through regular virtual meetings, project management tools, and shared code repositories. Flexibility in scheduling and clear, proactive communication are essential to ensure project milestones are met and that team members remain aligned. Adapting to asynchronous workflows is a common challenge, but it also allows for greater autonomy and focused work periods.

What skills and qualifications are needed to thrive as a remote bioinformatics programmer?

To thrive as a Remote Bioinformatics Programmer, you need strong programming skills (such as Python, R, or Perl), a solid understanding of biology or genomics, and typically a degree in bioinformatics, computer science, or a related field. Familiarity with bioinformatics tools, databases (like NCBI or Ensembl), and cloud computing platforms is essential, along with experience using version control systems like Git. Excellent problem-solving abilities, communication skills, and self-motivation are crucial soft skills for collaborating remotely and delivering complex analyses. These competencies are vital for efficiently managing and interpreting large biological datasets, ensuring accurate research outcomes, and working effectively in virtual teams.

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

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

What cities in Virginia are hiring for Remote Bioinformatics Programmer jobs?

Cities in Virginia with the most Remote Bioinformatics Programmer job openings:

Bioinformatics Software Engineer

micro1 AI

Roanoke, VA • Remote

$80 - $110/hr

Part-time

Posted 11 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.