Remote Senior Bioinformatics Scientist Jobs
Remote Senior Bioinformatics Scientist jobs are in active demand across the U.S., with remote-first biotech firms, pharmaceutical companies, and distributed research teams regularly posting openings. Employers hiring remotely right now include Axle, HELIX, and Veracyte. See the openings below and apply to the ones that match your experience.
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Showing 5 of 6+ Remote Senior Bioinformatics Scientist jobs
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).
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 highly ambitious, adaptable, structured, and detail-oriented Bioinformatics Scientist to join our vibrant team at the National Institutes of Health (NIH), National Institute of Allergy and Infectious Diseases (NIAID), Division of Intramural Research (DIR), Research Technologies Branch (RTB), Integrated Data Sciences Section (IDSS) in Bethesda, MD.
Responsibilities:
- Address bioinformatics, scientific computing, and data analysis needs of users within the Division of Intramural Research (DIR) at NIAID and their collaborators by lending expertise in the proper statistical design of biological experiments involving high-throughput genome-scale technologies, data mining and knowledge discovery techniques, automated workflow development, statistical and scientific experimental design consulting.
- Provide bioinformatics support to include somatic and germline variant calling and analysis, single-cell and bulk gene expression analysis, de novo assembly of genomes and transcriptomes, comparative genomics of model and non-model organisms, proteomics, ChIP-seq, ATAC-seq, and the development of high-throughput pipelines for the analysis of the above data modalities.
- Provide programming and troubleshooting support to the Research Technologies Branch (RTB) of the National Institute of Allergy and Infectious Diseases (NIAID) and collaborating Institutes in the dissemination of research data.
- Perform computational data analysis on genomic and clinical research data.
- Work with staff on scientific programming and experimental design. Provide statistical support/analysis on research data.
- Contribute to and co-author scientific publications in leading peer-reviewed journals.
- Contribute to the development of a scalable and flexible resource to provide NGS bioinformatics, structural biological and computational, machine learning data support to NIAID scientists and investigators.
- It is expected that the bioinformatics scientist will need strong skills in the following:
- NGS analysis (whole-exome, whole-genome, RNA-seq, ChIP-Seq, both long- and short-read technologies, etc.)
- Statistical modeling
- Scripting
- Biological interpretation
Specific Qualifications:
- Ability to obtain and maintain a Public Trust Security clearance
- Minimum Bachelor's degree in related field, Master's or Ph.D. preferred
- 4+ years of experience in bioinformatics
- 2+ years of experience developing and maintaining production bioinformatics pipelines
- Expert in two (2) of the following languages: Python, R, C/C++, sh/bash
- Experience building images using one (1) of the following: Docker, Podman, Singularity/Apptainer
- Expert in one (1) pipeline framework: Snakemake, Nextflow, CWL/WDL
- Expertise building technical and user documentation for tools, pipelines, and applications
- Experience building pipelines locally on-premise using available HPC infrastructure
- Experience building pipelines/applications in the Cloud with AWS/GCP/Azure is a plus
- Experience building applications using one (1) of the following frameworks is a plus: Django, Flask, RShiny, Electron, Flutter, React
- Experience working in a laboratory setting is a plus but not required
Please submit a cover letter with your resume that addresses the following questions:
- What experience do you have working with large datasets and compute clusters?
- Describe your experience building workflows/pipelines and/or using bioinformatics software and tools to analyze data.
- What programming languages are you comfortable using for bioinformatics data analysis?
- What bioinformatics areas are you familiar with? (e.g., single cell, bulk genomics, transcriptomics, epigenetics, flow, spatial, metagenomics, etc.)
- What life science disciplines do you have experience in? (e.g., immunology, infectious disease, cancer research, etc.)
- Provide examples of basic machine learning/AI concepts and/or how you've applied them in bioinformatics data analysis.
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.
#IND
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).
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 highly ambitious, adaptable, structured, and detail-oriented Bioinformatics Scientist to join our vibrant team at the National Institutes of Health (NIH), National Institute of Allergy and Infectious Diseases (NIAID), Division of Intramural Research (DIR), Research Technologies Branch (RTB), Integrated Data Sciences Section (IDSS) in Bethesda, MD.
Responsibilities:
- Address bioinformatics, scientific computing, and data analysis needs of users within the Division of Intramural Research (DIR) at NIAID and their collaborators by lending expertise in the proper statistical design of biological experiments involving high-throughput genome-scale technologies, data mining and knowledge discovery techniques, automated workflow development, statistical and scientific experimental design consulting.
- Provide bioinformatics support to include somatic and germline variant calling and analysis, single-cell and bulk gene expression analysis, de novo assembly of genomes and transcriptomes, comparative genomics of model and non-model organisms, proteomics, ChIP-seq, ATAC-seq, and the development of high-throughput pipelines for the analysis of the above data modalities.
- Provide programming and troubleshooting support to the Research Technologies Branch (RTB) of the National Institute of Allergy and Infectious Diseases (NIAID) and collaborating Institutes in the dissemination of research data.
- Perform computational data analysis on genomic and clinical research data.
- Work with staff on scientific programming and experimental design. Provide statistical support/analysis on research data.
- Contribute to and co-author scientific publications in leading peer-reviewed journals.
- Contribute to the development of a scalable and flexible resource to provide NGS bioinformatics, structural biological and computational, machine learning data support to NIAID scientists and investigators.
- It is expected that the bioinformatics scientist will need strong skills in the following:
- NGS analysis (whole-exome, whole-genome, RNA-seq, ChIP-Seq, both long- and short-read technologies, etc.)
- Statistical modeling
- Scripting
- Biological interpretation
Specific Qualifications:
- Ability to obtain and maintain a Public Trust Security clearance
- Minimum Bachelor's degree in related field, Master's or Ph.D. preferred
- 4+ years of experience in bioinformatics
- 2+ years of experience developing and maintaining production bioinformatics pipelines
- Expert in two (2) of the following languages: Python, R, C/C++, sh/bash
- Experience building images using one (1) of the following: Docker, Podman, Singularity/Apptainer
- Expert in one (1) pipeline framework: Snakemake, Nextflow, CWL/WDL
- Expertise building technical and user documentation for tools, pipelines, and applications
- Experience building pipelines locally on-premise using available HPC infrastructure
- Experience building pipelines/applications in the Cloud with AWS/GCP/Azure is a plus
- Experience building applications using one (1) of the following frameworks is a plus: Django, Flask, RShiny, Electron, Flutter, React
- Experience working in a laboratory setting is a plus but not required
Please submit a cover letter with your resume that addresses the following questions:
- What experience do you have working with large datasets and compute clusters?
- Describe your experience building workflows/pipelines and/or using bioinformatics software and tools to analyze data.
- What programming languages are you comfortable using for bioinformatics data analysis?
- What bioinformatics areas are you familiar with? (e.g., single cell, bulk genomics, transcriptomics, epigenetics, flow, spatial, metagenomics, etc.)
- What life science disciplines do you have experience in? (e.g., immunology, infectious disease, cancer research, etc.)
- Provide examples of basic machine learning/AI concepts and/or how you've applied them in bioinformatics data analysis.
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.
#IND
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Find JobsRemote Senior Bioinformatics Scientist Job Market
Who's Hiring
Top Industries Hiring
- Biotechnology & Pharmaceuticals
What Employers Look For
The qualifications that appear most often in remote senior bioinformatics scientist jobs.
- PhD in bioinformatics, computational biology, genomics, or a closely related field
- Proficiency in Python and R for statistical analysis and pipeline development
- Experience with next-generation sequencing data analysis including RNA-seq, WGS, or scRNA-seq
- Hands-on use of workflow management systems such as Snakemake, Nextflow, or WDL
- Familiarity with cloud computing environments including AWS, Google Cloud, or Microsoft Azure
- Strong record of peer-reviewed publication or contributions to open-source bioinformatics tools
Tips for Your Remote Senior Bioinformatics Scientist Job Search
Apply early to remote roles that fit
Migrate Mate lists remote senior bioinformatics scientist openings from across the U.S. in one place, so you can find roles that match your skills and apply directly. Remote postings at well-known biotech and pharma employers fill quickly, so applying in the first few days matters.
Show async collaboration skills concretely
Remote employers for senior bioinformatics scientists prioritize candidates who document their work for distributed teammates. Highlight experience writing clear pipeline documentation, contributing to shared code reviews in pull requests, and communicating results through written reports rather than relying on in-person walkthroughs.
Build a public pipeline portfolio on GitHub
Remote hiring managers often review a candidate's GitHub before an interview. Publish well-structured repositories using Nextflow, Snakemake, or WDL, include README files that explain biological context, and show version-controlled analyses on real or publicly available datasets like those from NCBI or EMBL-EBI.
Prepare for remote-first technical interviews
Remote senior bioinformatics scientist interviews frequently use shared coding environments or take-home analysis challenges instead of in-person whiteboarding. Practice walking through your analytical decisions in writing and over video, and be ready to discuss cloud compute choices on AWS, GCP, or Azure, since remote teams depend heavily on cloud infrastructure.
Remote Senior Bioinformatics Scientist Jobs: Frequently Asked Questions
How do I get a remote senior bioinformatics scientist job?
Target remote-first biotech companies, genomics startups, and pharmaceutical firms with distributed computational biology teams, since these employers are most likely to have established remote workflows for senior bioinformatics scientists. Remote hiring managers screen heavily for self-direction, clear written communication, and proficiency with pipeline tools like Nextflow, Snakemake, or cloud platforms such as AWS or Google Cloud. A public GitHub repository with well-documented pipelines and a history of async collaboration gives you a concrete edge.
Which companies hire remote senior bioinformatics scientists?
Companies hiring remote senior bioinformatics scientists right now include Axle, HELIX, and Veracyte, based on current remote listings on Migrate Mate as of November 2026. Remote-first biotech firms, genomics and precision medicine companies, and large pharmaceutical organizations with distributed research teams account for the majority of these openings.
Can you get a remote senior bioinformatics scientist job with no experience?
Yes, but remote senior bioinformatics scientist roles are harder to land without experience because employers expect you to work independently from day one with minimal hand-holding. Your clearest path is to build publicly visible work: documented pipelines on GitHub, contributions to open-source genomics projects, or published analyses using real datasets. Remote-first startups and academic spinouts are more open to candidates who demonstrate strong fundamentals and initiative over a conventional employment history.
Do you need a degree for remote senior bioinformatics scientist jobs?
Usually, but the degree requirement is flexible depending on the employer. Most remote postings list a master's or PhD in bioinformatics, computational biology, or a closely related field, though companies with distributed teams increasingly weigh demonstrated skills, peer-reviewed publications, and production pipeline experience alongside formal credentials. Candidates who can show real results on genomic data, variant calling workflows, or multi-omics integration often move forward regardless of exact degree level.
Which industries hire the most remote senior bioinformatics scientists?
The sectors hiring the most remote senior bioinformatics scientists are Biotechnology & Pharmaceuticals, based on current remote listings on Migrate Mate as of November 2026. These sectors rely on distributed computational teams to process large genomic and multi-omics datasets without requiring scientists to be on-site.
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