Information Scientist

Overview

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

Information Scientist to join our vibrant team at the National Institutes of Health (NIH) supporting the National Institute of Environmental Health Sciences (NIEHS) located in Durham, NC.

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)

Overall Position Summary and Objectives

This position will support efforts by the NIEHS Office of Data Science to advance the application of scientific data towards improving health by fostering the use of standardized terminologies, ontologies, and common data elements, and biomedical knowledge organization systems. The position will aid in developing and applying common language, support data curation efforts, support community efforts to advance standards, and provide expertise to the institution in the use of data and language standards.

Deliverables:

Work Details:

• Provide technical recommendations and expertise in adopting and applying data and metadata standards. 1
• Aids developers and analysts in applying ontologies and terminologies in tool and method development 2
• Support the development and modifications to biomedical ontologies and terminologies 3
• Interface with external collaborators on the development of ontologies and data standards of relevance to NIEHS 4
• Provide project management guidance and assistance to specific projects and activities. 5
• Provides technical experience needed to perform analyses, processing and user support of various computer systems using standard statistical procedures and techniques.
• Sets up and uses various computer systems and software packages.
• Provide software solutions across diverse scientific applications including large and complex multi-component resources.
• Work with staff on the evolving infrastructure, data engineering pipeline, and data science stacks.
• Supports the use of systems to collect, organize, and apply standardized terminologies and ontologies.
• Compiles and manages data and assists with quality control.
• Utilize knowledge of data structure, data management and various programming language.
• Support efforts to curate data and metadata for data management systems
• Produces various reports, graphs and figures for presentation.
• Present results in graphical using appropriate language.
• Prepare research data for presentation and manuscripts.
• Trains users in applying systems and analysis methods.
• Educate users in the use of the tools and reports.
• Plan, organize, and coordinate formal and informal training on the value and use of common terminologies, ontologies, common data elements, and scientific data and knowledge management systems
• Maintains systems software as well as hardware and security configurations.
• Help maintain institutional and community data and metadata standards to support interoperability of data systems and integration of data.
• Maintains interface software between multiple computer environments to ensure smooth operation and communication.
• Work with data users to define, prioritize and implement metadata standards across systems.
• Develops new programs and systems as needed.
• Create system documentation, electronic templates and examples, training materials and presentations.
• Develop scripts to automate data processing pipelines.
• Research new technologies, standards and systems to improve existing products and websites.
• Coordinates data storage and mining.
• Support and coordinate efforts to incorporate data and metadata standards in data storage and mining systems and tools.

1, 2, 3, 4, 5 represents

priority rankings, where 1 is highest priority and 5 is

lowest priority of those ranked

Minimum Education

Bachelor

Additional Qualifications:

Certifications & Licenses

• Experience with BioMedical Ontologies

Field of Study

• Computer Science
• Information Sciences
• Biology

Software

• R
• Protege
• Python

Skills

• Ontology Development
• Ontology Application
• Data Curation
• Metadata Development
• Data Annotation
• Biomedical Research

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: mailto:[email protected]" target=" _blank" rel="

noopener" data-mce-href="

mailto:[email protected]">[email protected]