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Job Department: Biomedical

Staff Scientist – Genomics

(ID: 2026-3178)

 

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)

Position Summary

The Staff Scientist (Genomics) provides scientific and technical support for next-generation sequencing (NGS) projects in a shared genomics or research support environment. The incumbent applies foundational expertise in Illumina sequencing, RNA-sequencing (RNA-seq), and single-cell genomics to support intramural research programs. Under the guidance of senior scientists, the employee contributes to experimental design, laboratory workflows, data generation, technology enhancement, and quality control while ensuring compliance with federal safety, security, and data management standards.

 

Major Duties and Responsibilities

  • Performs next-generation sequencing library preparation and sequencing using Illumina platforms, following established standard operating procedures (SOPs).

  • Conducts RNA-seq and single-cell sequencing workflows, including sample preparation, library construction, sequencing setup, and post-run quality assessment.

  • Performs nucleic acid extractions from diverse biological samples, including tissues, cells, and bacterial cultures.

  • Supports project intake, sample tracking, and data documentation using laboratory information management systems (LIMS) and electronic lab notebooks.

  • Assists with basic downstream data quality control and interpretation in collaboration with bioinformatics staff.

  • Maintains accurate records of experiments, reagents, and sequencing runs to ensure reproducibility and regulatory compliance.

  • Participates in laboratory maintenance, instrument performance monitoring, and routine troubleshooting under supervision.

  • Follows all biosafety, chemical safety, and data security policies and completes required HHS/NIH training.

  • Collaborate closely with investigators to include but not limited to consultations, experimental design, organization, preparation of samples, and contributions to data analysis and biological interpretation. 

  • Contributes to presentations, internal reports, and publications as appropriate.

  • Research, plan and engage in technology development projects to further the capabilities of the genomics group.

 

Knowledge, Skills, and Abilities 

  • Working knowledge of Illumina sequencing platforms and NGS library preparation techniques.

  • Familiarity with RNA-seq and single-cell sequencing technologies (e.g., 10x Genomics or equivalent platforms).

  • Understanding of basic molecular biology techniques and experimental design.

  • Ability to follow detailed protocols, maintain accurate documentation, and meet project deadlines.

  • Strong organizational and communication skills to support a collaborative research environment.

  • Willingness to learn new technologies and adapt to evolving research needs.

     

Qualifications

Education

  • Ph.D. in Genomics, Molecular Biology, Genetics, or related biological science.

Experience

  • Demonstrated hands-on experience with Illumina sequencing.

  • Experience or formal training in RNA-seq and/or single-cell sequencing workflows.

  • Experience working in a research laboratory or core facility environment.

     

Supervisory Controls

Work is performed under the guidance of senior staff scientists or supervisors. Assignments are clearly defined, and the incumbent receives direction on priorities and methods. Increasing independence is expected as technical proficiency develops.

Complexity

The work involves standard but technically detailed genomics procedures requiring accuracy, attention to detail, and sound scientific judgment. The employee applies established methods while learning to address routine technical challenges.

Scope and Effect

The work supports intramural research programs by ensuring high-quality sequencing data and reliable laboratory operations. Accurate performance directly impacts research timelines, data integrity, and scientific outcomes.

Physical Demands and Work Environment

Work is performed primarily in a laboratory setting and may involve standing, handling biological samples, and working with laboratory instruments. Appropriate personal protective equipment (PPE) is required.

 

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

Salary Range
$100,000—$110,000 USD

Flow Cytometry Specialist

(ID: 2026-1658)

 

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 an outstanding Flow Cytometry Specialist to join our team in Bethesda, MD. The Flow Cytometry Section (FCS), Research Technologies Branch (RTB), Division of Intramural Research (DIR), National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH),) offers NIAID investigators in Bethesda, Maryland and at the Rocky Mountain Laboratories (RML) in Hamilton, Montana access to cutting-edge cytometric technologies and instrumentation for high dimensional cell analysis and sorting. In addition, FCS provides training, consultation, method development, assistance with data interpretation, and support for experiments involving broad aspects of unique cytometry applications including operations in high containment laboratories.

 

Responsibilities 

  • Contribute to all aspects of facility operation, including flow cytometry analysis and cell sorting with added emphasis on independent operation of instruments.
  • Perform daily Quality Control and maintenance.
  • Perform troubleshooting of Flow Cytometry equipment.
  • Provide support to researchers in operating instruments.
  • Assist with user training and panel development.
  • Perform sample preparation and staining for flow cytometry analysis.
  • Assist in the preparation of SOPs and related documents for GLP work.
  • Comply with safety guidelines and requirements by following and ensuring strict safety procedures and safety checks.
  • Assist in Research and Development programs for new assays and technologies within the facility.

 

Qualifications

  • Minimum three (3) years of demonstrated experience in flow cytometry.
  • Experience of work at BSL2. Additional experience of BSL3 would be beneficial.
  • Proficiency with basic laboratory techniques (sample preparation, cell culture) and flow cytometry methods such as immunophenotyping, cell cycle analysis, etc.
  • Experience in high parameter flow cytometry, spectral flow cytometry, imaging flow cytometry or cell sorting will be an advantage.
  • Good understanding of laboratory biosafety standards.
  • Proficiency in the use of Microsoft Office including knowledge of computer systems and ability to work independently with data analysis programs
  • Ability to multi-task in a busy facility and to approach tasks and obstacles with a team-first mentality.
  • Development of new methods that extend the scope of flow cytometry at the facility will require excellent laboratory skills and a high level of desire to learn new skills.

 

 

Experience/Knowledge

  • Demonstrated significant depth and breadth of subject level expertise.
  • Demonstrated awareness of latest developments in the project specialty areas.

 

Skills

  • Excellent communication skills and ability to work in a team environment with co-workers, expertise ranging from novice to experts.
  • Ability to advise and work at a high level with a variety of collaborators from diverse laboratories
  • Good record keeping and organizational skills

 

Attributes

  • Innovative provider of creative solutions.
  • Enthusiastic, self-motivated and self-supervising team member.
  • Organizational ability to plan and deliver work to meet required deadlines.
  • Resilience in working to achieve team objectives and to overcome obstacles.
  • Demonstrated ability to be an effective team member.

 

 

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

Salary Range
$70,000—$80,000 USD

Bioinformatics Engineer

(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

Sr. Staff Scientist – Genomics

(ID: 2026-2186)

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 Genomics Technician to join our vibrant team at the National Institutes of Allergy and Infectious Diseases (NIAID) supporting the Center for Human Immunology, Autoimmunity, and Inflammation (CHI). CHI is a trans-NIH initiative whose mission is to provide a collaborative resource for NIH investigators. Created in 2009, CHI is focused on combining scientific expertise, advanced technologies and tailored informatics, to better understand human immune function and pathophysiology. Systems-scale approaches are developed and used for deep profiling of immune states during disease progression or clinical interventions, such as vaccination and cancer immunotherapy with an ultimate goal to provide novel immunological insights and enable key lab discoveries to be rapidly translated into disease prevention, diagnosis, and treatment.

 

Job Duties:

  • Member of high-performing interdisciplinary research team.

  • Process cell suspensions for single-cell analysis using 10x Genomics instruments.

  • Perform bulk RNA-Seq, scRNA-Seq, CITE-Seq, ATAC-Seq, and other immune profiling single-cell assays.

  • Prepare and QC RNA and DNA samples for sequencing.

  • Perform routine maintenance, operation and troubleshooting of 10x Genomics, Illumina, and high-throughput robotic automation instrumentation.

  • Perform spatial transcriptomics using 10x Visium or similar technologies.

  • Sample processing and Biobanking.

  • Keep detailed records of experimental procedures.

 

Qualifications:

  • Bachelor’s degree or higher in molecular biology, biochemistry, or related field.

  • Minimum of two (2) years of work experience preparing NGS and/or 10x libraries and performing Illumina sequencing.

  • Proficient in molecular and cellular biology techniques.

  • Familiarity with bioinformatics/sequence analysis is desirable but not required.

  • Experience with spatial transcriptomics technologies, specifically 10x Visium or VisiumHD, is required. 

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
$80,000—$90,000 USD

Bioinformatics/Data Scientist

(ID: 2025-0696)

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/Data Scientist to join our vibrant team at the National Institutes of Health (NIH) supporting the Standardized Organoid Model Center in Frederick, MD. The Standardized Organoid Model Center is an NIH-funded initiative dedicated to advancing organoid research through the development of validated, reproducible, and well-characterized organoid models. The center brings together interdisciplinary teams of researchers to establish standardized protocols, develop quality control measures, and create resources that will benefit the broader organoid research community.

 

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)

 

Cover Letter Required — Please Answer the Following Questions and Submit Application at: Bioinformatics/Data Scientist
To be considered for this position, please upload a document as your Cover Letter that answers the six questions below. Applications submitted without this document will not be considered.

  1. What experience do you have working with large datasets and compute clusters?
  2. Describe your experience building workflows/pipelines and/or using bioinformatics software and tools to analyze data.
  3. What programming languages are you comfortable using for bioinformatics data analysis?
  4. What bioinformatics areas are you familiar with? (e.g., single cell, bulk genomics, transcriptomics, epigenetics, flow, spatial, metagenomics, etc.)
  5. What life science disciplines do you have experience in? (e.g., immunology, infectious disease, cancer research, etc.)
  6. Provide examples of basic machine learning/AI concepts and/or how you’ve applied them in bioinformatics data analysis.

 

Overview

The Bioinformatics/Data Scientist will conduct comprehensive analyses of multi-omics data generated from organoid systems and corresponding normal tissues. This position is central to the SOM Center’s research objectives, focusing on characterizing organoid fidelity, identifying biomarkers of successful differentiation, and developing computational frameworks for organoid quality assessment.

 

Responsibilities

  • The successful candidate will analyze complex datasets including single-cell RNA sequencing, bulk RNA sequencing, proteomics, and metabolomics data from various organoid systems and their tissue counterparts.
  • The position will develop and implement computational pipelines for data processing, quality control, and statistical analysis.
  • A major component of the role involves integrating SOM-generated data with publicly available datasets to benchmark organoid characteristics against normal tissue profiles.
  • The position requires close collaboration with experimental teams to interpret results and guide protocol optimization, as well as contributing to manuscript preparation and presenting findings at scientific conferences.

 

Required Qualifications

  • Candidates must hold a PhD in bioinformatics, computational biology, biostatistics, or a related quantitative field.
  • Extensive experience with single-cell data analysis, including familiarity with tools such as Seurat, Scanpy, or similar platforms, is essential.
  • Strong programming skills in R and Python are required, along with experience in statistical analysis and data visualization.
  • Knowledge of proteomics and metabolomics data analysis workflows is necessary.

 

Preferred Qualifications

  • Previous experience analyzing organoid datasets is strongly preferred.
  • Experience with machine learning approaches for biological data, familiarity with pathway analysis tools, and knowledge of developmental biology principles will be considered valuable assets.
  • Experience with high-performance computing environments and version control systems is desirable.

 

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.

#INDPSD #IND

Salary Range
$105,000—$120,000 USD

Bioinformatics Scientist

(ID: 2026-1976)
 
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. 

 

Cover Letter Required — Please Answer the Following Questions and submit application at: Bioinformatics Scientist
To be considered for this position, please upload a document as your Cover Letter that answers the six questions below. Applications submitted without this document will not be considered.

  1. What experience do you have working with large datasets and compute clusters?
  2. Describe your experience building workflows/pipelines and/or using bioinformatics software and tools to analyze data.
  3. What programming languages are you comfortable using for bioinformatics data analysis?
  4. What bioinformatics areas are you familiar with? (e.g., single cell, bulk genomics, transcriptomics, epigenetics, flow, spatial, metagenomics, etc.)
  5. What life science disciplines do you have experience in? (e.g., immunology, infectious disease, cancer research, etc.)
  6. Provide examples of basic machine learning/AI concepts and/or how you’ve applied them in bioinformatics data analysis.

 
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

 

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
$120,000—$130,000 USD

Electron Microscopy Specialist

(ID: 2026-1867)

 

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)

 

 

About the Role

Axle is looking for an experienced Electron Microscopy Specialist to join our team supporting research at NIAID’s Rocky Mountain Laboratories in Hamilton, Montana. In this role, you’ll work closely with scientists in a collaborative, fast-paced environment, helping generate high-quality imaging data that supports infectious disease research.

 

This is a hands-on position for someone who enjoys both the technical side of electron microscopy and the collaborative nature of working with different research groups. If you have strong immuno-EM experience and are excited about learning and applying newer approaches like CLEM, FIB-SEM, and cryo-EM, this could be a great fit.

 

What You’ll Do

  • Prepare biological samples for electron microscopy (fixation, embedding, sectioning, staining) and perform imaging and analysis.

  • Design and conduct immuno-electron microscopy (immuno-EM) experiments.

  • Operate and help maintain TEM and/or SEM instruments, including troubleshooting when needed.

  • Work closely with NIAID investigators to plan experiments, interpret results, and solve technical challenges.

  • Help bring new capabilities online, including techniques like CLEM, FIB-SEM, and cryo-EM.

  • Keep clear, well-organized records in line with NIH standards for rigor and reproducibility.

  • Train and support other lab members or facility users in EM techniques.

  • Contribute to the overall operation of the lab, including equipment upkeep and safety compliance.

 

What We’re Looking For

  • Degree in a relevant field (Cell Biology, Structural Biology, Biophysics, or similar).

  • At least 5 years of relevant job experience in biological electron microscopy.

  • Solid understanding of EM sample preparation and imaging workflows.

  • Strong experience with immuno-electron microscopy.

  • Experience operating and troubleshooting EM instruments.

  • Someone who communicates well, works collaboratively, and is comfortable supporting multiple projects.

 

Nice to Have

  • Experience working in a shared resource or core facility.

  • Experience with, or strong interest in learning:

  • Correlative Light and Electron Microscopy (CLEM)

  • Focused Ion Beam-SEM (FIB-SEM)

  • Cryo-electron microscopy (cryo-EM)

  • Familiarity with image analysis tools.

 

What Makes Someone Successful in This Role

  • You’re a team player who enjoys working with a range of scientists and projects.

  • You’re curious and motivated to learn new techniques and technologies.

  • You’re organized, detail-oriented, and take pride in producing high-quality data.

  • You can balance multiple priorities without losing track of the details.

 

 

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

Salary Range
$70,000—$80,000 USD

AI/ML Scientist/Developer

(ID: 2025-0402)

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 AI/ML Scientist/Developer to join our vibrant team at the National Institutes of Health (NIH) supporting the Standardized Organoid Model Center On-Site in Bethesda, MD. The Standardized Organoid Model Center is an NIH-funded initiative dedicated to advancing organoid research through the development of validated, reproducible, and well-characterized organoid models. The center brings together interdisciplinary teams of researchers to establish standardized protocols, develop quality control measures, and create resources that will benefit the broader organoid research community.

 

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)

 

Overview

The AI/ML Scientist/Developer will develop innovative computational models to predict and optimize organoid growth and differentiation protocols. This position represents a unique opportunity to apply cutting-edge machine learning techniques to advance organoid standardization and contribute to the development of predictive models for tissue engineering applications.

 

Responsibilities

  • The successful candidate will design and implement machine learning models that predict organoid development outcomes based on protocol parameters, environmental conditions, and molecular characterization data.
  • They will develop in silico models that can simulate organoid growth dynamics and identify optimal conditions for reproducible organoid generation.
  • The role involves creating feedback loops between experimental validation and computational prediction to iteratively improve protocol standardization.
  • Collaboration with experimental teams to design validation experiments and with data scientists to integrate multi-modal datasets will be essential components of this position.

 

Required Qualifications

  • Candidates must possess a PhD in computer science, engineering, applied mathematics, or a related field with demonstrated experience in AI/ML model development.
  • Strong programming skills in Python, R, or similar languages are required, along with experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
  • Previous experience applying computational methods in biological laboratory settings is necessary, with knowledge of experimental design principles and biological data types.

 

Preferred Qualifications

  • Experience with organoid systems or tissue engineering applications is highly desirable.
  • Knowledge of differential equations, systems biology modeling, and experience with deep learning approaches for biological applications will be considered strong assets.
  • Familiarity with cloud computing platforms and containerization technologies is preferred.

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

 

Salary Range
$100,000—$130,000 USD