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