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Remote Bioinformatics Genetics Jobs (NOW HIRING)

... genetics. You will work on technologies that bridge scientific research and real-world healthcare ... You will collaborate with interdisciplinary teams in a remote environment focused on scientific ...

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Solid understanding of genetic principles, molecular biology techniques, and genomic databases.

A qualified candidate will be capable of working independently to analyze genetic data, organize ... Master's degree in Bioinformatics or related fields. LOCATION: Hybrid - remote + on-site Additional ...

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Candidates with expertise in genomics, bioinformatics, computational biology, genetics, molecular ...

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

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... bioinformatics, computational genomics, statistics, molecular evolution, and population genetics.

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Remote Bioinformatics Genetics information

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$59.5K

$94.5K

$149.5K

How much do remote bioinformatics genetics jobs pay per year?

As of Jul 26, 2026, the average yearly pay for remote bioinformatics genetics in the United States is $94,474.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,500.00 and $129,500.00 per year, depending on experience, location, and employer.

What is the difference between Remote Bioinformatics Genetics vs Remote Genomic Data Analyst?

AspectRemote Bioinformatics GeneticsRemote Genomic Data Analyst
Required CredentialsBachelor's/Master's in Genetics, Bioinformatics, or related field; often requires programming skillsBachelor's/Master's in Biology, Data Science, or related; may also need programming knowledge
Work EnvironmentResearch labs, biotech companies, academic institutions, remote options commonHealthcare, research institutions, biotech firms; predominantly remote roles
Industry UsageUsed in genetics research, personalized medicine, genomics projectsApplied in clinical genomics, population studies, data interpretation

Remote Bioinformatics Genetics focuses on analyzing genetic data to understand biological functions, often requiring specialized bioinformatics skills. Remote Genomic Data Analysts interpret genomic datasets for clinical or research purposes. While both roles involve data analysis and programming, Bioinformatics Genetics emphasizes genetic research, whereas Genomic Data Analysts focus on data interpretation in healthcare or research settings.

More about Remote Bioinformatics Genetics jobs
What cities are hiring for Remote Bioinformatics Genetics jobs? Cities with the most Remote Bioinformatics Genetics job openings:
What are the most commonly searched types of Bioinformatics Genetics jobs? The most popular types of Bioinformatics Genetics jobs are:
What states have the most Remote Bioinformatics Genetics jobs? States with the most job openings for Remote Bioinformatics Genetics jobs include:
Infographic showing various Remote Bioinformatics Genetics job openings in the United States as of July 2026, with employment types broken down into 26% As Needed, 52% Full Time, 8% Part Time, 1% Temporary, 1% Contract, and 12% Nights. Highlights an 80% Physical, 3% Hybrid, and 17% Remote job distribution, with an average salary of $94,474 per year, or $45.4 per hour.

Senior Bioinformatics Developer

Jobgether

Remote

Full-time

Posted 13 days ago


Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Bioinformatics Developer based in Netherlands.

This role offers the opportunity to develop advanced bioinformatics solutions that contribute to improving genomic analysis and precision medicine.
You will design, build, and optimize scalable pipelines for processing complex genomic data and supporting clinical applications.
The position combines software engineering, computational biology, and data analysis to solve challenging problems in human genetics.
You will work on technologies that bridge scientific research and real-world healthcare applications.
The ideal candidate is a technically skilled professional with strong programming experience, genomic knowledge, and a passion for impactful innovation.
You will collaborate with interdisciplinary teams in a remote environment focused on scientific excellence and continuous learning.

Accountabilities
  • Build, maintain, and improve pipelines for genomic variant analysis using modern workflow orchestration and pipeline management tools.
  • Develop scalable, reproducible, and reliable bioinformatics workflows following best practices in data analysis and software engineering.
  • Design and implement robust tools for analyzing genomic datasets and supporting advanced computational biology applications.
  • Optimize existing bioinformatics code and pipelines to improve performance, efficiency, and scalability.
  • Ensure data processing workflows are maintainable, accurate, and suitable for production environments.
  • Collaborate with scientists, engineers, and interdisciplinary teams to translate biological challenges into effective technical solutions.
  • Contribute to the continuous improvement of bioinformatics platforms, analysis methods, and development practices.
Requirements
  • Bachelor's degree in Bioinformatics, Computational Biology, Computer Science, or a related field; advanced degrees are a plus.
  • Proven experience developing bioinformatics algorithms and building genomic data processing pipelines.
  • Strong programming skills in Python, with experience using additional scripting languages such as Perl considered an advantage.
  • Solid understanding of genomics, genetics, molecular biology, and biological data analysis.
  • Experience working with databases, data management, and data integration techniques.
  • Familiarity with version control systems such as Git and containerization technologies such as Docker.
  • Minimum of 4 years of professional experience working in Linux environments.
  • Strong problem-solving abilities and ability to work effectively in collaborative, interdisciplinary teams.
  • Excellent written and verbal English communication skills.
  • Ability to independently manage technical challenges while contributing positively to team objectives.
Benefits
  • Fully remote position with flexibility and occasional team meetings.
  • Opportunity to work in the healthcare technology and precision medicine space.
  • Competitive compensation package.
  • Exposure to cutting-edge bioinformatics, genomic technologies, and clinical applications.
  • Opportunity to contribute to solutions that connect scientific innovation with real-world healthcare impact.
  • Collaborative international environment with agile workflows and distributed teams.
  • Continuous learning opportunities and access to emerging technologies in computational biology.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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