Information Sciences Professional; Intermediate, Senior, Principal part-time

Overview

University Staff – University of Colorado Anschutz Medical Campus

Department: Radiology

Job Title: Information Sciences Professional (Intermediate, Senior, Principal -- Open Rank), part-time (0.2 FTE; qualification dependent)

Position #: |
Requisition #: 39640

Work Location: Remote (this role is eligible to work remotely; employee must be in the United States)

Schedule: Part-time

Information Science Professionals utilize applied or computational mathematical analyses for a wide array of applications and to solve complex problems. Responsibilities include data interpretation, coding, methodology development, and interactions with labs using electronic equipment. This role operates as a Machine Learning Engineer to help the Department of Radiology create artificial intelligence analysis of medical images. Under the supervision of the Principal Investigator (PI), Dr.

Bennett Chin, the ML Engineer will assist with creating ML models and retraining systems using radiology data. The position requires strong mathematics and programming skills; knowledge of data science and experience with software engineering are desired. The goal is to shape and build efficient deep learning applications.

This is a part-time, 0.2 FTE position with remote work option.

Intermediate Level:

• Collaborate with and support Principal Investigators (PI) and other stakeholders in bioinformatics and data analysis.
• Perform scientifically rigorous data management and bioinformatic analyses.
• Run machine learning tests and experiments.
• Computer system software maintenance and security.
• Assist with selection of appropriate datasets and data representation methods.
• Perform evaluation and analysis of test results.
• Train and retrain systems when necessary.
• Develop and disseminate tools designed to access relevant clinical and sample data.
• Develop ML applications according to requirements.
• Research and implement ML algorithms and tools.
• Develop and implement complex analysis pipelines, programming, and data visualization techniques.
• Extend existing ML libraries and frameworks.
• Integrate data creatively from multiple sources to accelerate discoveries.
• Study and transform data science prototypes.
• Assist with design and development of major bioinformatics-related programming projects.
• Write custom scripts to access databases and analyze data.
• Keep abreast of developments in the field.
• Independently and creatively identify bioinformatic and data management solutions.
• Assist team leads, supervisors and/or management with creation and implementation of processes and procedures and quality improvement initiatives.
• Assist and train junior team members.

Senior Level:

• All Intermediate duties, plus:
• Assist with developing protocol-specific systems and documents including process flows and SOPs.
• Maintain subject-level documentation and prepare related equipment or supplies.
• Identify issues related to operational efficiency and share results with leadership.
• Provide biostatistical/data science expertise and leadership in study design, data management, data analysis, and manuscript preparation to assist biomedical investigators and clinicians.
• Serve as a resource to PIs and other stakeholders.

Principal Level:

• All Senior duties, plus:
• Act as a Subject Matter Expert and authority in the area of machine learning.

Note: This description is a summary and may change based on business needs. The University reserves the right to add or delete duties at the discretion of the supervisor and/or hiring authority.

Minimum Qualifications

Intermediate Level:

• Bachelor's degree in Bioinformatics, Biostatistics, Computational Biology, Data Science, Computer Science, Mathematics, or related field (or a combination of education and related experience substituted on a year-for-year basis).
• One (1) year of professional data management and bioinformatic analyses experience.

Senior Level:

• Bachelor's degree in Bioinformatics, Biostatistics, Computational Biology, Data Science, Computer Science, or related field (or equivalent).
• Two (2) years of professional data management and bioinformatic analyses experience.

Principal Level:

• Bachelor's degree in…