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From Home Bioinformatics Software Engineer Jobs (NOW HIRING)

With experts in biomedical science, software engineering, and program management, we focus on ... Axle is seeking a Bioinformatics Engineer to join our vibrant team at the National Institutes of ...

With experts in biomedical science, software engineering, and program management, we focus on ... Axle is seeking a Bioinformatics Engineer to join our vibrant team at the National Institutes of ...

... data from raw shotgun metagenomic sequencing data. • contribute to the development and ... 10, adhering to software engineering best practices including wireframe design, unit testing ...

Sr HPC Engineer

Houston, TX · On-site

$96K - $132K/yr

... of bioinformatics software and workflows. • Implement monitoring and operational best practices ... We welcome and encourage applicants from all backgrounds to apply. We do not discriminate on the ...

NCBI Software Developer (C++, Python)

Bethesda, MD · On-site +1

$52.25 - $70.50/hr

Overview Ariadne is searching for a Software Developer in 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 ...

... NCBI bioinformatics software and information retrieval systems * Work with a diverse group of ... Programming experience in a Linux environment * Proficiency in C++ * Experience with MS SQL server ...

... NCBI bioinformatics software and information retrieval systems * Work with a diverse group of ... Programming experience in a Linux environment * Proficiency in C++ * Experience with MS SQL server ...

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From Home Bioinformatics Software Engineer information

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$43K

$131.1K

$238.5K

How much do from home bioinformatics software engineer jobs pay per year?

As of Jun 28, 2026, the average yearly pay for from home bioinformatics software engineer in the United States is $131,053.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,000.00 and $157,000.00 per year, depending on experience, location, and employer.

What is the difference between From Home Bioinformatics Software Engineer vs From Home Data Scientist?

AspectFrom Home Bioinformatics Software EngineerFrom Home Data Scientist
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related fields; programming skills in Python, R, JavaBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in Python, R, SQL
Work EnvironmentRemote, often collaborating with research labs, biotech firms, or healthcare companiesRemote, working with tech companies, finance, or healthcare organizations
Industry UsagePrimarily in biotech, healthcare, and research institutionsAcross tech, finance, healthcare, and consulting sectors

Both roles often require strong programming skills and a background in data analysis. The main difference lies in their focus: Bioinformatics Software Engineers specialize in biological data and research applications, while Data Scientists work across various industries analyzing diverse data sets. Both roles are increasingly remote and collaborative, making them suitable for from-home work environments.

More about From Home Bioinformatics Software Engineer jobs
What cities are hiring for From Home Bioinformatics Software Engineer jobs? Cities with the most From Home Bioinformatics Software Engineer job openings:
What are the most commonly searched types of Bioinformatics Software Engineer jobs? The most popular types of Bioinformatics Software Engineer jobs are:
What states have the most From Home Bioinformatics Software Engineer jobs? States with the most job openings for From Home Bioinformatics Software Engineer jobs include:
Infographic showing various From Home Bioinformatics Software Engineer job openings in the United States as of June 2026, with employment types broken down into 99% Full Time, and 1% Contract. Highlights an 77% Physical, 1% Hybrid, and 22% Remote job distribution, with an average salary of $131,053 per year, or $63 per hour.

Bioinformatics Engineer

Axle

Rockville, MD • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 6 days ago


Job description

(ID: 2026-2391)
Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and healthcare organizations nationally and abroad. With experts in biomedical science, software engineering, and program management, we focus on developing and applying research tools and techniques to empower decision-making and accelerate research discoveries. We work with some of the top research organizations and facilities in the country including multiple institutes at the National Institutes of Health (NIH).
Axle is seeking a Bioinformatics Engineer to join our vibrant team at the National Institutes of Health (NIH) supporting the Rockville, MD.
Benefits We Offer:
  • 100% Medical, Dental & Vision Coverage for Employees
  • Paid Time Off and Paid Holidays
  • 401K match up to 5%
  • Educational Benefits for Career Growth
  • Employee Referral Bonus
  • Flexible Spending Accounts:
    • Healthcare (FSA)
    • Parking Reimbursement Account (PRK)
    • Dependent Care Assistant Program (DCAP)
    • Transportation Reimbursement Account (TRN)

Axle is seeking a skilled Bioinformatics Engineer to join our team supporting major pharmaceutical clients. In this role, you will review, assess, optimize, integrate, and extend production-grade bioinformatics workflows for high-throughput sequencing analysis. The ideal candidate combines deep expertise in genomics analysis methods with strong software engineering practices and cloud computing experience.
Key Responsibilities
  • Evaluate existing bioinformatics pipelines for performance, accuracy, and maintainability, identifying opportunities for optimization and enhancement
  • Develop, extend, and maintain Nextflow workflows for bulk RNA-seq, single-cell RNA-seq, DNA variant calling, methylation analysis, and emerging assay types
  • Architect scalable solutions capable of processing thousands of samples efficiently on Google Cloud Platform
  • Optimize data input/output operations across pipeline modules to minimize bottlenecks and reduce computational costs
  • Prepare and structure analysis outputs for visualization platforms and downstream statistical or machine learning applications
  • Implement best practices for workflow versioning, containerization, testing, and documentation
  • Collaborate with computational biologists, data scientists, and software engineers to integrate pipelines into broader analytical ecosystems
  • Stay current with advances in sequencing technologies and analytical methods, evaluating and incorporating new tools as appropriate

Required Qualifications
  • Master's degree in bioinformatics, computational biology, computer science, or a related field (or equivalent experience)
  • 3+ years of hands-on experience developing and maintaining bioinformatics pipelines in a production environment
  • Proficiency with Nextflow (DSL2) and familiarity with workflow management concepts
  • Strong experience with RNA-seq analysis (both bulk and single-cell) and DNA sequencing workflows (variant calling, methylation)
  • Working knowledge of Google Cloud Platform services (Compute Engine, Cloud Storage, Batch, Life Sciences API, or similar)
  • Proficiency in Python and/or R for scripting, data manipulation, and tool development
  • Experience with containerization technologies (Docker, Singularity)
  • Familiarity with version control systems (Git) and CI/CD practices
  • Strong understanding of genomic file formats (FASTQ, BAM, VCF, BED) and common bioinformatics tools (STAR, Salmon, BWA, GATK, Bismark, Cell Ranger, Seurat, Scanpy)

Preferred Qualifications
  • PhD in a relevant field
  • Experience with nf-core pipelines and community standards
  • Familiarity with workflow orchestration at scale (Cromwell, AWS Batch, or similar platforms)
  • Experience optimizing cloud costs and resource utilization for large-scale genomics workloads
  • Knowledge of data visualization tools and frameworks (e.g., R Shiny, Plotly, custom dashboards)
  • Experience in pharmaceutical, biotech, or regulated research environments
  • Familiarity with FAIR data principles and metadata standards

What We Offer
  • Opportunity to work on cutting-edge genomics projects with industry-leading pharmaceutical partners
  • Collaborative environment with experts in bioinformatics, data science, and software engineering
  • Professional development and growth opportunities
  • Competitive salary and benefits package

Disclaimer: The above description is meant to illustrate the general nature of work and level of effort being performed by individuals assigned to this position or job description. This is not restricted as a complete list of all skills, responsibilities, duties, and/or assignments required. Individuals may be required to perform duties outside of their position, job description or responsibilities as needed.
The diversity of Axle's employees is a tremendous asset. We are firmly committed to providing equal opportunity in all aspects of employment and will not tolerate any illegal discrimination or harassment based on age, race, gender, religion, national origin, disability, marital status, covered veteran status, sexual orientation, status with respect to public assistance, and other characteristics protected under state, federal, or local law and to deter those who aid, abet, or induce discrimination or coerce others to discriminate.
Accessibility: If you need an accommodation as part of the employment process please contact: careers@axleinfo.com
This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate's experience, qualifications, skills, and location.
Salary Range
$125,000-$150,000 USD