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Analyst I

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Position Summary

The Analyst I, under general supervision, is the first line scientific resource responsible for delivery of analytical services, to include: generation of images, performance of image analysis related tasks, development of new techniques and procedures, dispersal of project components to appropriate cross departmental resources, and providing feedback to drive project goals.

Job Classification:  Full time, exempt

Reports to:  Associate tIA Manager or Senior tIA Manager

Essential Job Functions

  • Develop working knowledge of Flagship’s proprietary image analysis algorithms
  • Contribute to design and implementation of image analysis strategies, including assessment of materials for image analysis development
  • Perform image analysis with Flagship’s digital toolkit
  • Data extraction and modification of results obtained from Flagship’s toolkit
  • Develop and test theories
  • Participate in Flagship’s continuing education programs
  • Provide support and guidance to cross-departmental resources to positively impact team goals
  • Review current IA tools, methods and techniques under a critical lens to identify and recommend improvement opportunities
  • Provide image generation, hosting, and annotations
  • Other tasks and projects, as assigned

Basic Qualifications

  • Bachelor’s degree in a scientific field and
  • 0-3 years of relevant professional work experience
  • Solid computer skills and ability to learn new software applications/systems quickly
  • Strong organization skills with a focus on attention to detail and accuracy to ensure high quality standards are consistently met
  • Ability to work effectively in a very fast-paced, changing environment, both independently and as part of a team
  • Strong interpersonal and communication skills, both verbal and written
  • Quick learner with good judgment and problem solving skills
  • Upbeat attitude, adaptable, and drive to learn

Preferred Qualifications

  • Bachelor’s degree in Engineering or Computational Biology
  • Experience with life sciences technology, image analysis, data science, and/or regulatory programs
  • Experience with R use and/or other data mining tools/techniques
  • Prior research experience
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