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Job Department: Biomedical

Project Manager

(ID: 2025-0529)

Axle Informatics 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 premier research organizations and facilities including multiple institutes at the National Institutes of Health (NIH) and other public and private organizations. 

Benefits We Offer:

  • 100% Medical, Dental & Vision Coverage for Employees
  • Educational Benefits for Career Growth
  • Paid Time Off (Including Holidays)
  • Employee Referral Bonus
  • 401K Matching
  • 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 Project Manager to our dynamic team. The Contractor(s) shall provide services in support of the overall functions of the Vaccine Production Program (VPP), Vaccine Research Center (VRC). 

 

Requirements:

  • Prepare VPP biological buffers and bulk drug candidate products for laboratory inventory in support of development and production of government vaccine and biotherapeutic investigational products, including, but not limited to:

    • Maintain communication with the VPP process groups to ensure the process groups have the buffers which are needed for processing ahead of time.

    • Obtain purified bulk vaccine candidates/biotherapeutics or bioreagents from the VPP downstream group.

    • Verify all label information on the bulk from downstream is correct.

    • With guidance, determine the aliquoting plan for each lot of bulk received per direction of the scientific operations manager for VPP.

    • Generate the correct number of labels per container size for each lot.

    • Perform the aseptic aliquoting for each lot of bulk in a biological safety cabinet.

    • Determine the storage location for each aliquoted lot (-80C, -30C, or 4C) as specified by either the scientific operations manager or the project manager for the VPP.

    • Prepare products for shipment to outside collaborators, following all NIH/IATA/DOT regulations.

  • Develop, implement, and follow departmental policies related to primary duties and other aspects of VPP Scientific Operations as needed.

  • Maintain consumable inventory stock for VPP processes.

  • Aid in the processing of laboratory requests for commercially available goods (CAG) from VPP stockroom or equivalent.

  • Aid in SDS database under the direction of the VPP SOM or designee.

  • Perform weekly verification of CAG held by VPP Scientific Operations and notify the VPP SOM or designee.

  • Aid in response to departmental requests for instrument service, under the direction of the VPP SOM or designee.

  • Follow established departmental policies, procedures, and objectives, continuous quality improvement objectives, and safety, environmental, and/or infection control standards.

  • Aid SME in QA responsibilities including but not limited to laboratory notebook issuance/retention, review, and audits.

  • Serve as a backup emergency responder for all VPP REES (alarm system) monitored equipment.

  • Operate dolly/ pallet jack in loading and unloading supplies and equipment.

  • Perform miscellaneous job-related duties as assigned by either the Scientific Operations Manager, the VPP Materials and Documentation Control Manager, or the Senior Scientific Associate for Materials, including but not limited to performance of property checks, maintenance of service contracts on lab equipment, monitoring commercially available goods, biological/chemical waste removal, equipment moving, package delivery and various inventory levels. 

 

Required Qualifications:

  • Bachelor’s degree in Biology, Chemistry, or related field with minimum 5 years of experience in a research laboratory setting (not medical or hospital lab).

  • Experience in Laboratory information Systems.

  • Experience in Microsoft Office, especially Excel and Word.

  • Strong knowledge of scientific/biotechnology laboratory documentation requirements (GDP).

  • Strong analytical capabilities to prepare inventory analytics and other metrics.

  • Strong communication skills to communicate to internal and external stakeholders.

  • Must have the ability to work as a team member. • Experience in working with Aseptic and biological safety cabinet (BSC).

     

 

Preferred Qualifications:

  • 2 yrs experience working in a biological safety cabinet and a laminar flow hood.

  • 2 year of demonstrated experience/training in sterile technique for handling biological products.

  • Hands-on experience with product candidate inventory management systems.

  • Current up to date training in USDOT and IATA training for biological shipping.

  • Experience with SmartSheet, (LIMS), and electronic laboratory notebooks (ELNs).

  • Current training in RCRA, DOT and Hazcom (GHS). 

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 is meant to illustrate the general nature of work and level of effort being performed by individual’s assigned to this position or job. 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 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—$105,000 USD

Cryo-Electron Microscopy Specialist

(ID: 2025-0868)

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 Cryo-Electron Microscopy Specialist to join our vibrant team at the National Institutes of Health (NIH) supporting the National Institute of Allergy and Infectious Diseases (NIAID) located in Bethesda, 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)

 

Overview
The highly skilled Cryo-Electron Microscopy (cryo-EM) Specialist will be joining the Research Technologies Branch (RTB), Electron Microscopy Unit (EMU) with the National Institute of Allergy and Infectious Diseases (NIAID) Division of Intramural Research (DIR). This position is based at the main NIH campus in Bethesda, Maryland, to support the primary cryo-EM operations at Rocky Mountain Laboratories (RML) in Hamilton, Montana. This role is pivotal in advancing biomedical research in the fields of immunology, parasitology, infectious disease, allergic disease, and vaccine development. The successful candidate will work as a team member to operate state-of-the-art instrumentation, with thorough knowledge of structural biology, providing access to cutting-edge cryo-EM technologies, designing and executing experiments, interpreting data, and ensuring the delivery of high-quality results.

 

Key Responsibilities

  • Consultation and Collaboration:
    • Engage with DIR investigators to discuss and plan new cryo-EM experiments.
    • Collaborate with scientists from other NIH Intramural Centers (ICs).
  • Project Management:
    • Oversee cryo-EM projects from DIR investigators and the Trans NIH cryo-EM initiative, NICE.
    • Coordinate specimen preparation, data collection, and processing for multiple simultaneous requests.
  • Experimental Design and Execution:
    • Develop experimental designs for protein purification and quality assessment in collaboration with DIR investigators and the RTB’s Structural Biology Unit (SBU).
    • Operate state-of-the-art cryo-EM instrumentation and a 120 kV microscope for screening negatively stained samples.
    • Establish cryo-workflow solutions for shipping of screened, frozen grids to RML for high-resolution data collection.
  • Training and Education:
    • Train DIR and NIH scientists on plunge freezing and microscope operations.
    • Educate students, postdocs, and investigators in cryo-EM specimen preparation, data collection, three-dimensional structural reconstructions, and data interpretation.
  • Data Analysis and Publication:
    • Collaborate with the NIAID RTB microscopy facility, RTB SBU, and Integrated Data Sciences Section (IDSS) on experimental design and data collection.
    • Assist in data interpretation and prepare tables, figures, and experimental details for publication.
    • Contribute to manuscript preparation for publication.
  • Budget and Instrumentation:
    • Acquire quotes and prepare budget requests for new instrumentation.
    • Engage with service providers to minimize instrument downtime.

 

Requirements

  • Ph.D. in chemistry, biochemistry, biology, or other relevant fields.
  • Relevant publication record.
  • Post-graduate experience in electron microscopy of proteins and/or infectious disease and immunology-associated samples is highly desirable.
  • Minimum of five years of experience operating Thermo Fisher Scientific 120 kV, 200 kV, and 300 kV cryo-electron microscopes.
  • Minimum of five years of experience reconstructing and generating models from cryo-EM data.
  • Experience in data management.
  • Excellent communication skills and ability to work in a team environment with co-workers whose expertise ranges from novice to expert.
  • Ability to advise and collaborate effectively with diverse laboratories.
  • Strong organizational and record-keeping skills.
  • Attend and present at national and international meetings.

 

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

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 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)

 

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 degree 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.

 

Salary Range
$115,000—$130,000 USD

Computational Scientist – AI/ML for Omics Integration

(ID: 2025-0404)

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 Computational Scientist – AI/ML for Omics Integration to develop and apply advanced AI/ML approaches to integrate multi-omics datasets for comprehensive organoid characterization and quality assessment. This position located in Frederick, MD at the Standardized Organoid Model Center will focus on creating computational frameworks that can assess organoid fidelity, predict functional outcomes, and identify optimal culture conditions through sophisticated data integration strategies.  

 

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 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.

 

Responsibilities:

  • The successful candidate will design and implement machine learning algorithms that integrate diverse omics datasets including genomics, transcriptomics, proteomics, and metabolomics data to create comprehensive organoid characterization profiles.
  • They will develop predictive models that assess organoid quality and functionality based on molecular signatures and identify biomarkers that correlate with successful organoid development.
  • The role involves creating computational tools for comparing organoid characteristics across different protocols and laboratories to support standardization efforts.
  • Collaboration with experimental teams to validate computational predictions and translate findings into actionable protocol improvements will be essential.

 

Required Qualifications:

  • Candidates must hold a PhD in computational biology, bioinformatics, computer science, or a related quantitative field with demonstrated experience applying AI/ML methods to biological systems.
  • Strong programming skills in Python and R are required, along with experience with machine learning frameworks and statistical analysis packages.
  • Knowledge of multi-omics data integration techniques and experience with biological pathway analysis are necessary.
  • Familiarity with cloud computing platforms and high-performance computing environments is required.

 

Preferred Qualifications:

  • Previous experience working with organoid datasets or tissue engineering applications is highly desirable.
  • Experience with deep learning approaches for biological data, knowledge of systems biology principles, and familiarity with network analysis methods will be considered valuable assets.
  • Experience with collaborative research projects and manuscript preparation 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.

#INDPSD

Salary Range
$115,000—$130,000 USD