University of Colorado

I.T. Data Scientist (Open Rank: Senior - Principal)

University of Colorado Aurora, CO, US
Full-time $86k - $127k Posted 6 months ago

Responsibilities

  • check_circle Discuss with faculty and senior researchers to identify research questions, discuss results, analyze alternative routes to ensure progress
  • check_circle Conduct literature search prior to and throughout each research project to familiarize oneself with state of the art
  • check_circle Implement code to run experiments to explore the research questions, analyze results
  • check_circle Document work, including: documenting code, drafting manuscripts, prepare slideshow presentations for internal review and for conferences
  • check_circle Medical: Multiple plan options
  • check_circle Dental: Multiple plan options
  • check_circle Additional Insurance: Disability, Life, Vision
  • check_circle Retirement 401(a) Plan: Employer contributes 10% of your gross pay
  • check_circle Paid Time Off: Accruals over the year
  • check_circle Vacation Days: 22/year (maximum accrual 352 hours)
  • check_circle Sick Days: 15/year (unlimited maximum accrual)
  • check_circle Holiday Days: 10/year
  • check_circle Tuition Benefit: Employees have access to this benefit on all CU campuses
  • check_circle ECO Pass: Reduced rate RTD Bus and light rail service

Basic qualifications

  • Bachelor’s degree in computer science, management/computer information systems, computer engineering, information technology, or a directly related field from an accredited institution.
  • 2+ years of professional experience as a machine learning researcher in an academic research institution or as a machine learning engineering/developer in a private company.
  • Experience in coding using python as well as using machine learning libraries such as sklearn, opencv, pytorch (or tensorflow).
  • An advanced degree (Masters or Doctorate) may be substituted for experience on a year for year basis if the degree is in a field of study directly related to the work assignment.
  • Bachelor’s degree in computer science, management/computer information systems, computer engineering, information technology, or a directly related field from an accredited institution.
  • 3+ years of professional experience as a machine learning researcher in an academic research institution or as a machine learning engineering/developer in a private company.
  • Experience in leading machine learning projects with a focus on Computer Vision or Natural Language Processing
  • Experience in coding using python, as well as using machine learning libraries such as sklearn, opencv, pytorch (or tensorflow).
  • Experience in scientific writing as proven by a track record of scientific publications in journals or conferences
  • An advanced degree (Masters or Doctorate) may be substituted for experience on a year for year basis if the degree is in a field of study directly related to the work assignment.

Preferred qualifications

  • Master’s degree in computer science, data science, biomedical engineering, imaging or related discipline such as mathematics, engineering, or physics.
  • Experience in working with medical images such as fundoscopy images, OCT’s, MRI's, digital histopathology are desired.
  • Experience in working with real-world medical datasets (e.g., images, EHR records, genetic data)
  • Experience in using containerization software such as Docker, relational database and SQL, git (and github)
  • Master’s degree or PhD degree in computer science, data science, biomedical engineering, imaging or related discipline such as mathematics, engineering or physics
  • Proven track record of publications in medical informatics journals and conferences (medical imaging in Ophthalmology)
  • Experience in mentoring junior roles/students
  • Experience with the NIH grant types and experience contributing to grant writing
  • Experience in working with medical images such as fundoscopy images, OCT’s, MRI's, digital histopathology are desired.
  • Experience in working with real-world medical datasets (e.g., images, EHR records, genetic data)
  • Experience in using containerization software such as Docker, relational database and SQL, git (and github)
  • Knowledge of basic concept of Machine Learning, Computer Vision, and Natural Language Processing (through course work, academic projects, or work experience)
  • Ability to communicate effectively, both in writing and orally.
  • Ability to establish and maintain effective working relationships with employees at all levels throughout the institution.
  • Outstanding customer service skills.
  • A letter of interest describing relevant job experiences as they relate to listed job qualifications and interest in the position
  • Curriculum vitae / Resume
  • Three to five professional references, including name, address, phone number (mobile number if appropriate), and email address
  • Senior Professional: $86,952- $110,602
  • Principal Professional: $99,993- $127,192

Tags & Focus Areas

Fulltime Machine Learning Data Science Ai

About University of Colorado