Scientific Data Engineer

at  Axle

(ID: 2024-6008)
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 Scientific Data Engineer 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.

OVERALL POSITION SUMMARY AND OBJECTIVES

The Predictive Toxicology Branch of the National Institute of Environmental Health Sciences (NIEHS) is seeking an individual to develop methods and software for novel predictive models, including artificial intelligence (Al) and machine learning (ML) applications. This position will work across the Division of Translational Toxicology (DTT) to synthesize toxicoinformatic, spatiotemporal, dose-response, and systems toxicology data sources.

MINIMUM EDUCATION

Masters

SKILLS:

• Work with Large Data Sets
• Pipeline Development
• Data Quality Control
• Data Harmonization
• Algorithm Development
• Statistical Modeling
• Data Cleaning
• Data Analysis
• Research
• Clinical and/or Translational Research
• Machine Learning
  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.co

Please refer the Job description for details