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Remote Bioinformatics Jobs in Sandy Springs, GA (NOW HIRING)

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

Bioinformatics Specialist

Atlanta, GA · On-site +1

$69K - $158K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: Hybrid Job Number: R0244252 Location: Atlanta,GA,US Share job via: Share Bioinformatics Specialist The Opportunity: Are you excited by the prospect of unlocking the secrets held by a ...

Bioinformatician

Atlanta, GA · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Bioinformatics Analysis: * Develop, implement, maintain, and optimize bioinformatics workflows * Perform quality control, assembly, annotation, and analysis of environmental metagenomic sequencing ...

Bioinformatician

Atlanta, GA · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Bioinformatics Analysis: * Develop, implement, maintain, and optimize bioinformatics workflows * Perform quality control, assembly, annotation, and analysis of environmental metagenomic sequencing ...

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific ... Advanced degree (PhD, PharmD, or MSc) in computational biology, medicinal chemistry, bioinformatics ...

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Remote Bioinformatics information

See Sandy Springs, GA salary details

$59.1K

$93.8K

$148.4K

How much do remote bioinformatics jobs pay per year?

As of Aug 19, 2026, the average yearly pay for remote bioinformatics in Sandy Springs, GA is $93,794.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $128,600.00 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 Sandy Springs, GA?

The most popular types of Bioinformatics jobs in Sandy Springs, GA are:

What job categories do people searching Remote Bioinformatics jobs in Sandy Springs, GA look for?

The top searched job categories for Remote Bioinformatics jobs in Sandy Springs, GA are:

What cities near Sandy Springs, GA are hiring for Remote Bioinformatics jobs?

Cities near Sandy Springs, GA with the most Remote Bioinformatics job openings:

Infographic showing various Remote Bioinformatics job openings in Sandy Springs, GA as of August 2026, with employment types broken down into 52% Full Time, 45% Part Time, and 3% Contract. Highlights an 51% Physical, 2% Hybrid, and 47% Remote job distribution, with an average salary of $93,794 per year, or $45.1 per hour.

Bioinformatics Software Engineer

micro1 AI

Sandy Springs, GA • Remote

$80 - $110/hr

Part-time

Posted 16 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.