Project Manager – Biomedical Laboratory Management and Operations Planning

(ID: 2026-3760)

 

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)

 

The Project Manager – Biomedical Laboratory Management and Operations Planning shall provide specialized scientific operational planning support (Project Management) for the Office of Operations Management (OOM), Division of Intramural Research (DIR), Rocky Mountain Laboratories (RML). The Project Manager will utilize scientific expertise and applied laboratory experience to coordinate facility planning, operational program development, high-containment laboratory support, and campus-wide research infrastructure planning.

 

 

High-Containment Laboratory & Scientific Operations Support

  • Apply practical laboratory knowledge in microbiology and biomedical research environments, including procedures, workflow, safety, and equipment used in BSL 2, BSL 3, BSL 4, ABSL 3, and ABSL 4 laboratories.
  • Provide planning and coordination support for scientific operations across RML’s high-containment and ABSL facilities, ensuring alignment with safety policies, best practices, and research programs.
  • Campus Master Planning & Facility Modernization
  • Support OOM and the Office of Research Facilities (ORF) in coordinating research stakeholder engagement for the RML campus master plan update, helping gather scientific requirements, operational constraints, and facility improvement needs.
  • Assist planning and project execution related to upgrading and redesigning RML’s BSL-2, -3, -4 and ABSL 3 and -4 laboratories and animal spaces, including modernization of research support infrastructure, space efficiency, and scientific workflow improvements.
  • Scientific Equipment Programs & Application Development
  • Develop custom applications and centralized data tools to manage RML’s Biosafety Cabinet (BSC) program, including inventory, certification tracking, scheduling, and compliance monitoring.
  • Assist biomedical equipment technicians by creating or improving tools for centralized tracking of scientific equipment, lifecycle planning, and maintenance needs.
  • Coordinate with ORF, ORS, OWS, and program managers to ensure scientific equipment programs align with facility capacity, long-range planning, and operational risk assessments.

 

Space Planning & Research Program Support

  • Assist the Associate Director of OOM in space tracking, allocation, and master space planning across NIAID/DIR offices at RML.
  • Work collaboratively with NIAID’s Office of Workplace Solutions (OWS) to ensure space utilization aligns with scientific program expansion, facility constraints, and upcoming renovations.

 

Renovation Coordination & Research Stakeholder Engagement

  • Represent research program interests in planning meetings, design reviews, and stakeholder coordination for in-house renovation projects involving scientific and administrative spaces.
  • Gather researcher input, ensure high-containment facility standards are integrated, and support documentation and planning activities for renovation project phases.
  • General Scientific Operations & Program Support
  • Support short and long range planning for scientific programs, capital equipment replacement needs, and facility modernization projects as identified by DIR and OOM leadership.
  • Assist with data gathering, workflow assessments, operational analysis, and development of recommendations that strengthen RML’s scientific mission.
  • Prepare technical briefings, status updates, analytic reports, and decision-support materials for senior leadership.

 

Specific Qualifications:

  • BS/BA or higher in Biological Sciences, Microbiology, Biomedical Engineering, or related scientific discipline.
  • Laboratory experience in BSL‑2, BSL‑3, BSL‑4, ABSL‑3, or ABSL‑4 environments strongly preferred.
  • Familiarity with laboratory workflow, research operations, biological safety cabinet usage, and high-containment facility requirements.
  • Experience in scientific facility planning, equipment lifecycle management, and operational program development.
  • Ability to design or support development of tracking applications, centralized databases, or digital management tools for scientific equipment programs.
  • Demonstrated ability to organize multidisciplinary scientific stakeholders, coordinate planning activities, and communicate technical requirements effectively.
  • Experience working with facility management and operational organizations is highly desirable.
  • Excellent communication, analytical, and reporting skills.
  • Ability to work independently, manage multiple tasks, and support complex planning efforts in high‑containment research environments.

 

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
$75,000—$80,000 USD

Biologist (Mass Spectrometry)

(ID: 2025-1356)

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 around the globe. 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:

  • 100% Medical, Dental & Vision Coverage for Employees
  • Paid Time Off (Including Holidays)
  • Employee Referral Bonus
  • 401K Match
  • Tuition reimbursement and professional development opportunities
  • Flexible Spending Accounts:
    • Healthcare (FSA)
    • Parking Reimbursement Account (PRK)
    • Dependent Care Assistant Program (DCAP)
    • Transportation Reimbursement Account (TRN)

Overview

Axle is looking to add a driven, flexible, organized, and meticulous Biologist to our dynamic team. The Contractor(s) shall provide services in support of the overall functions of the Vaccine Production Propgram (VPP), Vaccine Research Center (VRC).

 

Technical Requirements — Scientist, Analytical Development

 

  • Perform a range of analytical development activities in support of the characterization and quantification of biologic products, including vaccines, monoclonal antibodies, recombinant proteins, and other biologic modalities.

  • Utilize mass spectrometry for characterization and quantification of biologic molecules in support of vaccine and other biologics development programs.

  • Perform and support LC-MS–based analytical testing, including sample preparation, data acquisition, data analysis, interpretation, and documentation of results.

  • Execute established analytical methods and contribute to the development, optimization, qualification, troubleshooting, and transfer of new or existing analytical methods

  • Analyze and interpret experimental data using sound scientific judgment; identify trends, technical issues, and unexpected results and contribute to investigations and troubleshooting activities.

  • Support the Bioseparations function within Analytical Development by performing electrophoresis-based analytical techniques for the separation and characterization of biologic molecules.

  • Work independently on assigned laboratory activities while collaborating with senior scientists and other members of multidisciplinary project teams.

  • Maintain accurate, complete, and detailed experimental records and prepare technical documentation, summaries, and presentations of analytical results.

  • Effectively communicate experimental results, technical observations, and potential issues to project teams and participate in internal scientific and project meetings. 

  • Support multiple development projects and effectively prioritize assigned laboratory activities to meet project timelines.

  • Contribute to continuous improvement of analytical workflows and identify opportunities to improve assay performance, robustness, efficiency, and data quality.

  • Work collaboratively across Analytical Development and with other functional groups within VPP to support project objectives.

Specific Qualifications

 

  • Ph.D. in mass spectrometry, analytical chemistry, biochemistry, chemistry, pharmaceutical sciences, or a related scientific discipline with one (1) to two (2) years of relevant pharmaceutical or biotechnology industry experience applying mass spectrometry to characterize biomolecules and quantifying molecules of interest; OR Master’s degree in a related scientific discipline with four (4) to five (5) years of relevant pharmaceutical or biotechnology industry experience.  

  • Demonstrated hands-on experience with mass spectrometry and LC-MS–based analytical techniques for the analysis of biologic molecules.

  • Experience with quantitative and/or qualitative analytical methods used for characterization of proteins, antibodies, vaccines, or other biologic products.

  • Experience with electrophoresis-based analytical techniques for protein/biologic separation and characterization is preferred.

  • Working knowledge of analytical method development, optimization, troubleshooting, and data interpretation.

  • Demonstrated ability to work independently on assigned activities, exercise scientific judgment, troubleshoot experimental issues, and proactively communicate findings and challenges.

  • Must be a self-starter and independent thinker with the ability to take ownership of assigned work while functioning effectively as part of a scientific team.

  • Must be a team player who can effectively collaborate with scientists and members of cross-functional groups.

  • Demonstrated ability to maintain accurate and detailed laboratory records and scientific documentation.

  • Strong analytical, problem-solving, organizational, oral communication, and written communication skills.

  • Ability to manage multiple assignments and priorities in a fast-paced research and development laboratory environment.

  • Familiarity with computer software used for scientific data acquisition, analysis, visualization, documentation, and presentation.

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 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

Disclaimer: The above description is meant to illustrate the general nature of work and level of effort being performed by individual’s 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.

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
$95,000—$110,000 USD

Cryo-Electron Microscopy Specialist

(ID: 2026-3478)

 

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

We are looking for a skilled Cryo-electron microscopist to join the Research Technologies Branch (RTB), Electron Microscopy Unit (EMU). This position is based at Rocky Mountain Laboratories (RML) in Hamilton, Montana. In this role, you’ll work closely with scientists in a collaborative, fast-paced environment, helping generate high-quality 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 cryo-EM experience and are excited about learning and applying newer approaches like room-temperature EM, FIB-SEM, and cryo-EM, this could be a great fit.

 

What You’ll Do

  • Perform negative staining on purified proteins to evaluate sample quality.

  • Prepare biological samples for cryo-EM (plunge freezing) and perform imaging and analysis.

  • Operate and help maintain TEM and other ancillary 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 and image processing.

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

 

What We’re Looking For

  • Master’s degree or higher in a relevant field (Cell Biology, Structural Biology, Biophysics, or similar).

  • Solid understanding of EM sample preparation and imaging workflows.

  • Experience operating and troubleshooting EM instruments.

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

 

Nice to Have

Experience with, or strong interest in learning:

  • Room temperature electron microscopy

  • Correlative Light and Electron Microscopy (CLEM)

  • Focused Ion Beam-SEM (FIB-SEM)

  • 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.

 

Location: Rocky Mountain Laboratories in Hamilton, Montana.

 

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
$90,000—$110,000 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 Master’s or 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