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Job Location: Frederick, MD

QA Manager

(ID: 2025-0641)

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 Quality Assurance (QA) Manager to join our Program Coordination Team in support of the National Institutes of Health (NIH) initiative to advance standardized organoid model development.

 

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:

In this role, you will serve as the QA Manager, overseeing the quality systems and compliance operations of our state-of-the-art Organoid Research and Development Laboratory. The ideal candidate will bring extensive experience in quality management within regulated laboratory or biotechnology environments, with expertise in organoid or advanced cell culture systems, GMP/GLP practices, and a demonstrated commitment to continuous quality improvement.

This role is critical to ensuring that our organoid research and production meet the highest standards of scientific rigor, safety, and regulatory compliance as we transition toward preclinical and clinical applications. Familiarity with the FDA regulatory process for new drug development will be highly valued, as this knowledge will support the lab’s alignment with future translational and clinical requirements.

 

Responsibilities:

  • Develop, implement, and maintain a comprehensive Quality Management System (QMS) tailored to organoid research and production.
  • Ensure compliance with GMP, GLP, ISO 9001, and ISO 13485 standards.
  • Manage controlled documentation, including SOPs, batch records, quality manuals, and training records.
  • Lead internal audits, support regulatory inspections, and maintain audit readiness across all functions.
  • Conduct risk assessments, manage Corrective and Preventive Action (CAPA) programs, and oversee quality improvement initiatives.
  • Collaborate with scientists and operations teams to embed quality checkpoints into organoid workflows.
  • Oversee the qualification of raw materials, reagents, and equipment, ensuring traceability and compliance.
  • Develop and deliver training programs on quality practices, data integrity, and compliance requirements.
  • Monitor documentation accuracy and data integrity to support reproducibility and regulatory compliance.
  • Champion continuous improvement initiatives to enhance efficiency, reproducibility, and scientific excellence in organoid research.

 

Required Qualifications

  • Ph.D. or MS in biology, biotechnology, Quality Management or a related field.
  • At least 10 years of experience in Quality Assurance within a biotech, stem cell, or organoid laboratory environment.
  • Strong working knowledge of GMP, GLP, and ISO 13485 standards.
  • Proven track record of implementing and maintaining quality systems, including managing audits and inspections.
  • Hands-on familiarity with organoid culture techniques and laboratory best practices.
  • Demonstrated ability to collaborate across multidisciplinary teams to support scientific and regulatory excellence.

 

Preferred Qualifications

  • Experience with electronic Quality Management Systems (eQMS) and Laboratory Information Management Systems (LIMS).
  • Professional certifications such as Certified Quality Auditor (CQA) or ISO Internal Auditor.
  • Familiarity with regulatory pathways for cell and gene therapies.
  • Knowledge of the FDA regulatory process for new drug development, including preclinical requirements and investigational new drug (IND) applications.

 

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
$150,000—$165,000 USD

Bioinformatics Fellow – AI/ML for Organoid Optimization

(ID: 2025-0407)

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 Fellow – AI/ML for Organoid Optimization to join our vibrant team at the National Institutes of Health (NIH) supporting the Standardized Organoid Model Center (SOM).

 

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 SOM Center:

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.

 

Overview:

The Postdoctoral Researcher in AI/ML for Organoid Optimization will work collaboratively with the SOM Center’s computational scientists to develop sophisticated machine learning models that optimize organoid production protocols. This position represents a unique opportunity to apply advanced computational approaches to address critical challenges in organoid standardization while gaining expertise in the intersection of artificial intelligence and tissue engineering.

 

Responsibilities:

  • The successful candidate will design and implement machine learning algorithms that predict optimal culture conditions for organoid development based on multi-parameter datasets including environmental conditions, growth factor concentrations, timing protocols, and cellular starting materials.
  • They will develop predictive models that can forecast organoid development outcomes and identify protocol modifications that enhance reproducibility and standardization across different laboratory settings.
  • A significant component of the research involves creating feedback systems that integrate experimental validation data with computational predictions to iteratively improve protocol optimization algorithms.
  • The researcher will collaborate extensively with experimental teams to design validation studies and with data scientists to incorporate diverse data types including omics, imaging, and phenotypic characterization data into comprehensive modeling frameworks.
  • The position requires contribution to the development of user-friendly tools and interfaces that enable other researchers to apply optimization models to their specific organoid systems.

 

Required Qualifications

  • Candidates must hold a PhD in computer science, bioengineering, applied mathematics, computational biology, or a related quantitative field with demonstrated expertise in AI/ML model development and implementation.
  • Strong programming skills in Python and familiarity with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn are essential.
  • Experience with statistical analysis, optimization algorithms, and data visualization techniques is required.
  • The ability to work collaboratively in interdisciplinary teams and communicate complex computational concepts to experimental researchers is necessary.

 

Preferred Qualifications

  • Previous experience applying machine learning approaches to biological systems or bioengineering applications is highly desirable.
  • Familiarity with organoid culture systems, tissue engineering principles, or regenerative medicine research will be considered significant assets.
  • Experience with cloud computing platforms, high-performance computing environments, and database management systems is preferred.
  • A strong publication record in computational biology or related fields will strengthen candidacy.

 

Training and Career Development

This position offers comprehensive training in the application of artificial intelligence to biological research challenges. The researcher will develop expertise in collaborative research methodologies, gain experience in translating computational insights into experimental applications, and contribute to cutting-edge research at the forefront of computational tissue engineering. Opportunities for professional development through manuscript preparation, conference participation, and collaboration with leading researchers in the field will support advancement toward independent research careers in academia or biotechnology industry.

 

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
$85,000—$95,000 USD

Bioinformatics Fellow – Hyperspectral Imaging

(ID: 2025-0406)

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 Fellow – Hyperspectral Imaging to join our vibrant team at the National Institutes of Health (NIH) supporting the Standardized Organoid Model Center.

 

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 SOM Center:

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.

 

Overview:

The Postdoctoral Researcher in Hyperspectral Imaging will advance the SOM Center’s characterization capabilities by developing and implementing hyperspectral imaging approaches for cellular and organoid analysis. This position offers an exceptional opportunity to establish novel methodologies for non-invasive cellular characterization that will contribute significantly to organoid standardization efforts and provide valuable training in cutting-edge imaging technologies.

 

Responsibilities:

  • The successful candidate will develop comprehensive hyperspectral imaging protocols for characterizing cells from diverse tissue sources and patient samples, establishing baseline spectral signatures for normal cellular states.
  • They will design and execute experiments to monitor cellular transitions during induced pluripotent stem cell differentiation processes, creating spectral libraries that capture the dynamic changes in cellular composition and metabolic states.
  • A major component of the research involves developing computational models and machine learning approaches to distinguish cellular states based on hyperspectral data, enabling automated classification of differentiation stages and cellular phenotypes.
  • The position requires extensive characterization of organoid systems using hyperspectral imaging techniques, with particular emphasis on comparing organoid spectral signatures to their corresponding primary cell populations to assess fidelity and identify markers of successful organoid development.
  • The researcher will collaborate closely with computational teams to integrate hyperspectral data with other omics datasets and will contribute to method development for standardized organoid assessment protocols.

 

Required Qualifications:

  • Candidates must possess a PhD in biomedical engineering, physics, chemistry, cell biology, or a related field with demonstrated expertise in analyzing spectroscopy data, with particular preference for hyperspectral imaging experience.
  • Strong analytical skills and proficiency in data analysis software such as MATLAB, Python, or R are essential.
  • Experience with microscopy techniques and imaging system operation is required, along with the ability to work independently while contributing effectively to collaborative research projects.

 

Preferred Qualifications:

  • Previous experience working with biological systems, particularly cell culture or tissue engineering applications, will be considered a significant asset.
  • Experience with machine learning approaches for spectral data analysis, familiarity with stem cell biology or organoid systems, and knowledge of cellular metabolism and biochemistry are highly desirable.
  • Previous postdoctoral experience and a strong publication record in relevant fields will strengthen candidacy.

 

Training and Career Development

This position provides comprehensive training in advanced imaging technologies and their application to biological systems. The researcher will gain experience in method development, data analysis, and collaborative research within a multidisciplinary team environment. Opportunities for manuscript preparation, conference presentations, and grant writing will support career advancement toward independent research positions in academia or industry.

 

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
$85,000—$95,000 USD

Bioinformatics/Data Scientist

(ID: 2025-0400)

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 located 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 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

Salary Range
$105,000—$115,000 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)

 

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

Salary Range
$105,000—$120,000 USD

LIMS Support Specialist

(ID: 2025-0403)

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 LIMS Support Specialist 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 LIMS Support Specialist will manage and maintain the Laboratory Information Management System that serves as the backbone for data tracking, sample management, and workflow coordination across the SOM Center. This position is crucial for ensuring data integrity, traceability, and compliance with NIH standards for data management and sharing.

 

Responsibilities

  • The successful candidate will oversee the daily operation and maintenance of the LIMS platform, including user account management, system configuration, and troubleshooting technical issues.
  • They will work closely with laboratory personnel to design and implement workflows that capture experimental metadata, track sample processing, and ensure data quality throughout the research pipeline.
  • The role involves training laboratory staff on LIMS usage, developing standard operating procedures for data entry and retrieval, and coordinating with IT support for system updates and security compliance.
  • Regular backup procedures, data validation checks, and integration with other laboratory systems will be key responsibilities.

 

Required Qualifications

  • Candidates must have demonstrated experience working with LIMS systems in biotech companies or biological research laboratories.
  • Strong technical skills including database management, basic programming or scripting abilities, and familiarity with laboratory workflows are essential.
  • Excellent communication skills and the ability to train and support laboratory personnel are required.
  • Knowledge of regulatory compliance requirements for biological research data is necessary.

 

Preferred Qualifications

  • Experience with specific LIMS platforms commonly used in academic research settings is preferred.
  • Previous work in organoid research or tissue engineering laboratories will be considered an asset.
  • Familiarity with NIH data sharing requirements and experience with electronic laboratory notebook 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

Salary Range
$100,000—$115,000 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.

#INDPSD

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.

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Salary Range
$115,000—$130,000 USD