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Job Department: Biomedical

Scientific Software Engineer (Full Stack)

(ID: 2025-0915)

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)

Overview

Axle is seeking a Scientific Software Engineer that will develop the integration middleware and interactive interfaces for the SOM Center. This position involves building cloud-native applications that establish interoperability between cloud-based AI services, legacy laboratory systems, and real-time experimental state systems, delivering a unified data management interface for scientific discovery data.

 

Responsibilities

  • API Development: Design and implement high-concurrency asynchronous APIs (using GraphQL or gRPC) to stream data between cloud inference endpoints (e.g., Vertex AI) and centralized state stores.
  • AI-Assisted Development: Actively utilize AI-assisted coding tools (e.g., GitHub Copilot) to accelerate feature implementation, unit testing, and debugging.
  • User Portal & Visualization: Develop the SOM User Portal using modern frameworks to render interactive visualizations. Implement WebGL-based components (e.g., Deck.gl, PixiJS) to render high-density parallel protocol topologies and multi-omics heatmaps without performance degradation.
  • Agentic AI Integration: Implement the application logic to support Agent-based workflows, connecting user-facing chat interfaces with backend reasoning engines. Handle complex interaction patterns such as tool execution loops, multi-step reasoning chains, and streaming responses to the user.
  • LIMS Integration & Ontology Enforcement: Develop business logic to integrate modern microservices with Legacy Laboratory Information Management Systems (LIMS). Enforce Ontology Mapping at the user interface level to ensure all data entry adheres to the SOM controlled vocabulary.
  • Real-Time State Store: Implement a high-frequency experimental state store using in-memory databases (e.g., Redis), utilizing WebSockets or Server-Sent Events (SSE) to power real-time dashboards that reflect experimental data states.
  • Cloud-Native Patterns: Implement Cloud-Native design patterns to reliably consume outputs from asynchronous cloud operations and surface results to the user.
  • Collaboration: Collaborate with AI researchers to create explainable interfaces for model predictions.

 

Required Qualifications

  • Bachelor’s or master’s degree in computer science or software engineering with experience in full-stack development for data-intensive applications.
  • Proficiency in modern Python backend frameworks (FastAPI, Litestar) and strongly typed frontend ecosystems (React/Next.js with TypeScript).
  • Experience with WebGL-based visualization libraries (e.g., Deck.gl, PixiJS, or Plotly) for rendering high-density biological datasets.
  • AI Productivity: Demonstrated ability to leverage AI-driven coding assistants and LLMs to increase development velocity and code quality.
  • Experience deploying and debugging applications in Containerized Cloud Environments (Cloud Run, ECS, or Kubernetes).
  • Preferred Qualifications
  • Familiarity with Agentic AI frameworks (e.g., LangChain, LangGraph, AutoGen) and implementing “Tool Use” patterns in applications.
  • Experience with Event-Driven Architectures (Pub/Sub, Kafka) for coordinating hybrid workflows.
  • Knowledge of Graph Database query languages (Cypher/Gremlin) and Real-Time/In-Memory databases (Redis).
  • Familiarity with integrating applications with Enterprise Identity Providers (OIDC/SAML) and experience working in a biotech or LIMS environment.

 

 

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—$125,000 USD

Assay Technologist / Research Associate

(ID: 2026-1657)

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 seeking a motivated Assay Technologist / Research Associate to join the Automated Cell Technologies section within the NCATS Research Services Core at the National Institutes of Health (NIH). This position will support the development, optimization, and execution of stem cell–based and other cell-based assays for translational research and high-throughput screening initiatives. The successful candidate will contribute hands-on laboratory expertise in human iPSC culture, cellular differentiation, and phenotypic assay workflows within a collaborative research environment.

 

Key Responsibilities

Cell Culture & Differentiation

  • Maintain and expand human induced pluripotent stem cells (iPSC) and other mammalian cell lines under defined culture conditions
  • Perform established differentiation protocols and assist in optimizing workflows across multiple cell lineages
  • Scale culture and differentiation procedures across various formats (e.g., flasks and multi-well plates)
  • Monitor cell health, viability, and morphology; document culture performance

 

Assay Execution & Support

  • Execute cell-based assays to assess differentiation status and functional endpoints
  • Perform immunocytochemistry and other phenotypic analyses following established protocols
  • Collect, analyze, and summarize experimental data
  • Assist in assay qualification activities, including reproducibility and robustness testing
  • Support cryopreservation, thawing, and cell recovery workflows

 

Automation & Process Support

  • Assist in implementation and routine operation of automated workflows for scalable cell-based assays
  • Work collaboratively with automation and screening teams to improve workflow efficiency
  • Contribute to troubleshooting experiments and process optimization under supervision

 

Documentation & Compliance

  • Maintain accurate laboratory records using electronic laboratory notebook (ELN) systems
  • Follow NIH laboratory safety standards, including BSL-2 requirements
  • Ensure proper documentation of experimental procedures and results

 

Required Qualifications

For Bachelor’s Level:

  • B.S. in Molecular Biology, Cell Biology, Biotechnology, Toxicology, or a related life sciences field
  • 5+ years of relevant laboratory experience (academic or industry)

 

For Master’s Level:

  • M.S. in Molecular Biology, Cell Biology, Biotechnology, Toxicology, or a related scientific discipline
  • 2+ years of relevant laboratory experience

 

Required Skills & Experience:

  • Hands-on experience with mammalian cell culture (iPSC experience preferred)
  • Experience performing cell-based assays and standard molecular/cellular biology techniques
  • Experience with immunocytochemistry or related staining techniques
  • Strong organizational skills and attention to detail
  • Good written and verbal communication skills

 

Preferred Qualifications

  • Experience with iPSC differentiation workflows
  • Exposure to high-throughput screening or automated laboratory systems
  • Familiarity with high-content imaging platforms

  • Experience working in a collaborative research or core facility environment

     

 

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

Flow Cytometry Operator

(ID: 2026-1658)

 

Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and healthcare organizations nationally and abroad. With experts in biomedical science, software engineering, and program management, we focus on developing and applying research tools and techniques to empower decision-making and accelerate research discoveries. We work with some of the top research organizations and facilities in the country including multiple institutes at the National Institutes of Health (NIH).

 

Benefits We Offer:

  • 100% Medical, Dental & Vision Coverage for Employees
  • Paid Time Off and Paid Holidays
  • 401K match up to 5%
  • Educational Benefits for Career Growth
  • Employee Referral Bonus
  • Flexible Spending Accounts:
    • Healthcare (FSA)
    • Parking Reimbursement Account (PRK)
    • Dependent Care Assistant Program (DCAP)
    • Transportation Reimbursement Account (TRN)

 

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

 

Responsibilities 

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

 

Qualifications

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

 

 

Experience/Knowledge

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

 

Skills

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

 

Attributes

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

 

 

Disclaimer: The above description is meant to illustrate the general nature of work and level of effort being performed by individuals assigned to this position or job description. This is not restricted as a complete list of all skills, responsibilities, duties, and/or assignments required. Individuals may be required to perform duties outside of their position, job description or responsibilities as needed.

The diversity of Axle’s employees is a tremendous asset. We are firmly committed to providing equal opportunity in all aspects of employment and will not tolerate any illegal discrimination or harassment based on age, race, gender, religion, national origin, disability, marital status, covered veteran status, sexual orientation, status with respect to public assistance, and other characteristics protected under state, federal, or local law and to deter those who aid, abet, or induce discrimination or coerce others to discriminate.

Accessibility: If you need an accommodation as part of the employment process please contact: careers@axleinfo.com

This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate’s experience, qualifications, skills, and location.

#IND

Salary Range
$70,000—$80,000 USD

AI Platform & Cloud Engineer

(ID: 2025-0914)

 

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)

Overview

The AI Platform & Cloud Engineer will help sustain the hybrid cloud production environment for the SOM Center’s data ecosystem. This role serves as the technical interface between Data Science and IT, focusing on Platform Engineering: building the internal developer platform (IDP) that utilizes the IT-managed Kubernetes infrastructure and cloud resource to scale resources for workflow orchestration, knowledge graph data pipelines, and distributed model inference.

 

Responsibilities:

  • IT Collaboration & K8s Support: Collaborate closely with the dedicated IT team to define compute requirements and orchestrate workloads on the new Kubernetes cluster. The engineer will not manage the cluster directly but will ensure data science applications are correctly containerized and configured to run efficiently on the infrastructure provided by IT.
  • Infrastructure Strategy: Define the Infrastructure as Code (IaC) specifications for application-level resources, working with IT to ensure on-premises GPU clusters and public cloud environments (GCP/AWS) are utilized effectively.
  • Refactoring & Model Serving: Transform experimental code (Jupyter Notebooks, R scripts) developed by NLP and Omics researchers into robust, containerized software packages. Deploy and optimize model inference servers (e.g., vLLM, Triton Inference Server) to expose AI models as reliable internal APIs.
  • Workflow Orchestration: Deploy and maintain the Workflow Orchestration platform (e.g., Apache Airflow, Prefect, or Dagster) to manage dependencies between data ingestion, model inference, and state updates, serving as the central execution controller for distributed processes.
  • AI-Assisted Development: Actively utilize AI-assisted coding tools (e.g., GitHub Copilot) to accelerate code generation, documentation, and refactoring processes to increase overall productivity.
  • Data Foundation: Administer the Data Foundation infrastructure, including supporting Graph Databases (e.g., Neo4j), Vector Databases (e.g., Milvus, pgvector) for RAG implementations, and ETL pipelines to ingest massive public datasets (e.g., Human Cell Atlas) into the Data Lake.
  • Cloud Agent Architecture: Architect and deploy managed Cloud AI Agents (e.g., via Vertex AI) to orchestrate complex reasoning workflows, including and not limited to parsing scientific literature, querying omics databases, and validating experimental protocols against Knowledge Graphs.
  • Security Implementation: Collaborate with data scientists to implement Workload Identity federation and secrets management (e.g., Vault), ensuring automated workflows securely authenticate against enterprise resources managed by IT.

 

Required Qualifications:

  • Bachelor’s or master’s degree in computer science or engineering with experience in Cloud Engineering, MLOps, or SRE.
  • Proficiency in Python and Infrastructure as Code concepts, with experience in major cloud platforms (GCP preferred, or AWS).
  • AI Productivity: Demonstrated ability to leverage AI-driven coding assistants and LLMs to increase development velocity and code quality.
  • Experience utilizing Hybrid Cloud architectures and configuring workloads for burst computing (Spot instances, Autoscaling groups).
  • Experience refactoring research-grade code into production-grade services (Docker/Kubernetes).
  • Experience with Workflow Orchestration tools (Airflow, Prefect, or Dagster) and Vector Database administration.

Preferred Qualifications:

  • Experience deploying applications to Kubernetes (GKE/EKS) and using GitOps workflows (ArgoCD/Flux).
  • Knowledge of Graph Database administration (Neo4j) and object storage architectures.
  • Familiarity with Serverless event processing (Cloud Functions) and ML Engineering concepts (quantization, distillation, serving via Triton/vLLM).

 

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
$125,000—$135,000 USD

Senior Clinical Research Advisor

(ID: 2026-1580)

Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and healthcare organizations nationally and abroad. With experts in biomedical science, software engineering, and program management, we focus on developing and applying research tools and techniques to empower decision-making and accelerate research discoveries. We work with some of the top research organizations and facilities in the country including multiple institutes at the National Institutes of Health (NIH).

 

Benefits We Offer:

  • 100% Medical, Dental & Vision Coverage for Employees
  • Paid Time Off and Paid Holidays
  • 401K match up to 5%
  • Educational Benefits for Career Growth
  • Employee Referral Bonus
  • Flexible Spending Accounts:
    • Healthcare (FSA)
    • Parking Reimbursement Account (PRK)
    • Dependent Care Assistant Program (DCAP)
    • Transportation Reimbursement Account (TRN)

 

Axle is seeking a Senior Clinical Research Advisor to join our vibrant program team supporting the National Center for Advancing Translational Sciences (NCATS), Division of Clinical Innovation (DCI), Clinical and Translational Science Awards (CTSA) Program located in Bethesda, MD. The CTSA Program is the single largest research program at the National Institutes of Health (NIH). Through this program, the Division of Clinical Innovation (DCI) within NCATS invests annually to promote new methods and technologies that address bottlenecks and enhance the translational research pipeline to speed the delivery of new drugs, diagnostics and medical devices to patients. Currently, more than 50 medical research institutions across the nation receive CTSA Program funding toward this mission.

The selected individual shall provide the DCI Director with senior-level scientific program support in accomplishing the CTSA goals and objectives. 
 
Responsibilities:

  • Perform scientific program management support services virtually and/or onsite at the NIH in coordination with the DCI Director.
  • Apply expert knowledge and educational background in clinical research and translational medicine to support and coordinate vital activities executed by the DCI Trial Innovation Network (TIN), including surveillance of 50+ program hub award institutions.
  • Collaborate with NCATS and DCI to develop new TIN Funding Opportunity Announcements (FOAs).
  • Explore and contrast existing NIH funding mechanisms as potential formats.
  • Collaborate with DCI staff to gather data pertinent to the development of new TIN FOA(s).
  • Analyze data and identify gaps and opportunities.
  • Identify opportunities for synergy and collaboration with external stakeholders.
  • Collaborate with the NIH Office of Extramural Research (OER), program, and review staff to obtain necessary information.
  • Establish and oversee DCI working groups to review and make recommendations regarding existing and new TIN FOA components.
  • Develop presentations and reports; develop metrics for strategic management of the TIN.
  • Support the administration of several large awards in the TIN program.
  • Contribute expertise and knowledge to DCI in support of its efforts to foster innovation and deliver national leadership in the growing area of clinical and translational science (CTS), which is a distinct research discipline.
  • Participate with DCI leadership in expanding its advocacy and sponsorship of initiatives related to excellence in data management and innovative approaches to the management and standardization of translational research data.
  • Assist in expanding DCI’s collaboration with other NIH Institutes/Centers (ICs) and the scientists they support, and foster efforts that strengthen communication among stakeholders across the clinical spectrum, including patients, industry, and regulators.

 
Qualifications:  

  • Medical degree from an accredited university.
  • Board certified and licensed in a medical-related field or D.D.S. in a state, territory or commonwealth of the United States or District of Columbia.
  • Ten (10) years of experience in clinical trial research.
  • Required prior involvement in clinical trials as an investigator or medical monitor.
  • Well-versed in multiple disciplines, including the broad application of information technology; interpretation of information from a wide variety of sources including biological sequences and molecules; potential research uses of electronic health records (EHR); and issues related to clinical studies, clinical trials, and rare diseases.
  • Familiar with National Institutes of Health (NIH) and Department of Health and Human Services (HHS) human subjects’ policies; Institutional Review Board (IRB) policies and subject safety; and data sharing and confidentiality issues.
  • Familiar with specific NIH grant mechanisms (e.g. UM1, U24, etc.).
  • Expertise in clinical trials, basic research, management of large networks, and have regulatory experience.
  • Expert knowledge of clinical research and care in academic and/or community clinical settings.
  • Educational background and training in clinical medicine are paramount.
  • Experience in establishing and promoting a vision of innovation in the growing area of clinical and translational science is critical.
  • Demonstrated track record of applying translational science concepts to deliver innovative solutions to clinical research problems while working collaboratively and utilizing a consultative approach to problem solving and decision.

 

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
$180,000—$210,000 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.

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Salary Range
$115,000—$130,000 USD