Axle Informatics

Data Scientist

Job Locations US-MD-Rockville
Posted Date 2 weeks ago(4/6/2021 4:34 PM)
ID
2021-1888
# of Openings
1

Overview

Axle Informatics is a scientific research and information technology company that offers innovative computer services, informatics, and bioresearch solutions to research centers and healthcare organizations around the globe. With expertise in software engineering, bioinformatics, molecular research, and program management, we focus on developing and applying technological tools and scientific techniques to empower the world of 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 a 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/or 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 understanding and implementing data analysis algorithms into a cloud based platform designed to improve scientific analysis of data. It is desired that the applicant  will construct models using a variety of approaches including statistics, traditional machine learning (i.e. logistic regression, ridge/lasso regression, random forests, support vector machines, etc.), graph analytics, and deep learning. 

 

The scientist will participate in data collection/cleaning, 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.

Responsibilities:

  • Contribute to 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, or 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
  • Analyze as-is process, develop to-be process, and identify gaps which must be addressed to reach the desired end state.
  • Assess diverse datasets (focused on images but including other data types outlined above) for correlative, clustering, predictive, etc. outcomes.  

Qualifications:

  • An undergraduate or masters degree or equivalent in bioengineering, chemical engineering, computer science, statistics, epidemiology, life sciences, or related fields. 
  • Be able to program fluently in one of the following: Python, Julia, C++, or Rust.
  • 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.
  • 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.

Benefits

  • 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: 

                                              Email: careers
@axleinfo.com

 

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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