Axle Informatics

Data Scientist II

Job Locations US-MD-Rockville
Posted Date 1 month ago(3/11/2021 1:05 PM)
# of Openings


Axle Informatics is a bioinformatics and information technology company that offers innovative computer services, informatics, and enterprise solutions to research centers and healthcare organizations around the globe. With experts in software engineering, bioinformatics and program management, we focus on developing and applying technology tools and techniques to empower decision-making and accelerate the discovery in translational research. We work with some of the top research organizations and facilities in the country including multiple institutes at the National Institutes of health (NIH).


We are looking for an experienced Data Scientist to support projects at the NIH. The position will be based in Rockville, Maryland. We are looking for a skilled and motivated researcher/developer with expertise in image processing, algorithm development, and deep learning. The successful applicant will be involved with developing computational analysis of images and other data acquired in collaboration with scientists, biologists, and/or clinicians across the NIH.  


Computational analyses will involve combinatorial assessment of disparate data types (i.e. patient demographics, risk factors, genetic information, 2D and 3D imaging modalities, etc.) into comprehensive classification and regression models.  It is desired that the scientist will construct models using a variety of approaches including traditional machine learning (i.e. logistic regression, ridge/lasso regression, random forests, support vector machines, etc.), graph analytics, and deep learning. The scientist should also be familiar with development and optimization for CUDA and/or OpenCL and able to utilize packages and libraries that call these accelerators. 


The scientist will participate in experimental design, data collection, data analysis and manuscript preparation; assist intramural staff, including students and postdoctoral fellows; stay current with scientific literature; stay informed about new approaches and technologies, including participation in conferences, workshops, and/or formal classroom instruction; independently locate and utilize scientific resources; and co-author peer reviewed publications.


  • Lead scientific-related needs assessment, as well as facilitate the design, building and implementation of IT systems. 
  • Collaborate with biologists, clinicians and core facility members to understand their experimental and technical goals and suggest statistical and IT solutions to better achieve these goals.  
  • Create generalizable code bases for abstracted analysis outside of a single client’s project such that analysis and technical tools developed for one project can be easily adapted for a different but similar problem.
  • Ability to analyze existing solutions in Python, Matlab, R, and Java and adapt these solutions to a containerized plugin architecture for incorporation into a central tool repository. 
  • Strong interest in contributing to biological and clinical research
  • Understanding client needs and analyzing, validating and documenting the analysis and system requirements to best address the clients’ need. 
  • Analyze as-is process, develop to-be process, and identify gaps which must be addressed to reach the desired end state.
  • Act as an expert technical and scientific resource for software development staff in all phases of the development and implementation process
  • Assess diverse datasets (focused on images but including other data types outlined above) for correlative, clustering, predictive, etc. outcomes.


  • A PhD degree or equivalent in bioengineering, chemical engineering, computer science, statistics, life sciences, or related fields. Or 6+ years experience in biomedical image analysis.
  • Published and/or significant publicly available code using  one or all the following languages: Python, C++, and/or Java.
  • Experience in image analysis (registration, segmentation, and/or tracking) in biomedical imaging modalities preferred, though any image set will be considered. 
  • Experience with molecular biology laboratory techniques and informatics methods is preferred though any laboratory experience will be considered. 
  • Experience with large data sets (>1 TB) and deep learning will be given priority.
  • Experience implementing systems and supporting non-technical scientific staff
  • A high level of attention to detail
  • A strong work ethic, and the ability to design projects within diverse research areas and datasets.
  • Excellent oral and written communication skills in English, and record keeping skills.



  • Paid Time Off (PTO)
  • 10 Paid Federal holidays
  • Various wellness programs
  • Employee Referral Bonus Program (ERBP)
  • Vision coverage through Cigna national network
  • Dental coverage through Cigna national network
  • 401(K) with significant company match & no vesting period
  • Short and Long-Term Disability coverage (paid by company)
  • Competitive salaries with opportunity for performance bonuses
  • Discount plan for pet care, legal services, & identify theft protection
  • Basic Life and AD&D coverage (paid by company; option to purchase additional coverage)
  • Medical coverage through UHC national network (option to choose between 3 available plans)
  • Flexible Spending Accounts:
    • Healthcare (FSA)
    • Parking Reimbursement Account (PRK)
    • Dependent Care Assistant Program (DCAP)
    • Transportation Reimbursement Account (TRN)

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



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


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