Demo

Pathology Data Management and Application Specialist

Axle
Rockville, MD Full Time
POSTED ON 3/26/2025
AVAILABLE BEFORE 4/24/2025

(ID: 2024-6924)



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 Pathology Data Management and Application Specialist to join our vibrant team at the National Institutes of Health (NIH) supporting the National Cancer Institute (NCI) located in Rockville, MD.




Benefits We Offer:



  • 100% Medical, Dental & Vision Coverage for Employees

  • Paid Time Off and Paid Holidays

  • 401K match up to 5%

  • Educational Benefits for Career Growth

  • Employee Referral Bonus

  • Flexible Spending Accounts:

    • Healthcare (FSA)

    • Parking Reimbursement Account (PRK)

    • Dependent Care Assistant Program (DCAP)

    • Transportation Reimbursement Account (TRN)







Axle is seeking a dynamic Pathology Data Management and Application Specialist to support the National Cancer Institute’s digital pathology initiatives. This role is focused on enabling clinical users to effectively utilize a pathology slide image data management platform to improve data access, platform utilization, data processing, and advanced image annotation. The ideal candidate will have a strong background in digital pathology workflows, be adept at guiding non-technical users, and possess experience with training new users and documenting platform workflows.


 


Responsibilities 




  • Platform Administration & Support:




    • Serve as the primary point of contact for NCI users, providing comprehensive support and troubleshooting assistance.






  • User Enablement & Training:




    • Develop and deliver training sessions and documentation to help non-technical clinicians efficiently transfer, locate, access, and annotate pathology data using HALO.




    • Collaborate with clinical teams to streamline workflows related to pathology slide image generation, processing, access, and interpretation.






  • Workflow Integration:




    • Work with cross-functional teams to design, test, and implement integration solutions that support clinical image analysis and reporting.






  • Technical Collaboration & Innovation:




    • Participate in detailed design discussions and requirements sessions to continuously enhance the HALO platform’s utility for users based on their feedback.




    • Advise on strategic technical directions to improve platform usability and integration capabilities.






Qualifications




  • Experience & Technical Expertise:




    • 1 years of hands-on experience administering digital pathology or imaging platforms, preferably Indica Labs HALO but any similar pathology image platform is acceptable. 




    • Solid understanding of pathology slide image generation workflows and clinician data access protocols.




    • Demonstrated experience in assisting non-technical clinical users, with strong communication and training skills.






  • Integration & Workflow Knowledge:




    • Familiarity with configuring and troubleshooting complex imaging systems in a clinical or research environment.






  • Analytical & Problem-Solving Skills:




    • Ability to analyze and resolve technical issues related to platform deployment, user access, and data annotation.




    • Strong documentation skills to capture system configurations, user guides, and training materials.






  • Communication & Collaboration:




    • Excellent written and verbal communication skills.




    • Proven ability to work both independently and collaboratively in a multidisciplinary team environment.






Preferred Qualifications (Plus Skills)


  • Platform-Specific Experience:




    • Direct experience with the Indica Labs HALO platform, including any customization or advanced configuration.




    • Exposure to best practices in digital pathology data management and regulatory compliance.






  • Technical Versatility:




    • Familiarity with programming or scripting languages (e.g., Python) for potential automation of routine administrative tasks.




    • Experience with Agile methodologies and a proactive approach to adopting new features and tools.




    • Experience integrating hospital Picture Archiving and Communication Systems (PACS) into image processing and digital pathology workflows. 




    • Experience in the integration of hospital PACS with HALO, ensuring seamless data exchange and compatibility with existing image processing workflows.






 


 




 



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: $100,000 USD - $110,000 USD

Salary : $100,000

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